CN112508238A - Offshore wind power operation and maintenance assessment method and device, electronic equipment and storage medium - Google Patents
Offshore wind power operation and maintenance assessment method and device, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN112508238A CN112508238A CN202011314560.6A CN202011314560A CN112508238A CN 112508238 A CN112508238 A CN 112508238A CN 202011314560 A CN202011314560 A CN 202011314560A CN 112508238 A CN112508238 A CN 112508238A
- Authority
- CN
- China
- Prior art keywords
- time
- maintenance
- ship
- sea
- time window
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012423 maintenance Methods 0.000 title claims abstract description 225
- 238000000034 method Methods 0.000 title claims abstract description 23
- 238000010248 power generation Methods 0.000 claims abstract description 23
- 238000011156 evaluation Methods 0.000 claims description 18
- 238000004590 computer program Methods 0.000 claims description 12
- 230000008859 change Effects 0.000 claims description 7
- 230000000284 resting effect Effects 0.000 claims description 4
- 238000004088 simulation Methods 0.000 description 8
- 238000004891 communication Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 5
- 238000012545 processing Methods 0.000 description 3
- 238000013461 design Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000007774 longterm Effects 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000000354 decomposition reaction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000013209 evaluation strategy Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 238000005215 recombination Methods 0.000 description 1
- 230000006798 recombination Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- Marketing (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Quality & Reliability (AREA)
- Entrepreneurship & Innovation (AREA)
- Operations Research (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Wind Motors (AREA)
Abstract
The invention discloses an offshore wind power operation and maintenance assessment method and device, electronic equipment and a storage medium, and belongs to the technical field of wind power operation and maintenance. Determining different types of time window libraries according to historical marine hydrometeorology data, personnel work and rest time and sea wave condition information in a preset time period, traversing in the time window libraries, and acquiring the starting time P and the returning time Q of the operation and maintenance ship according to a preset strategy; calculating the power generation loss of the wind generating set in the safe operation time of the operation and maintenance ship and the sea cost of the operation and maintenance ship after the ship returns; and judging whether to modify the sea-going time D according to the power generation loss and the sea-going cost, so that the method greatly improves the efficiency of offshore operation and maintenance and reduces the offshore operation and maintenance cost. The problem of in the marine wind power field operation and maintenance, can't find real reasonable time window in various out-of-sea restriction conditions, cause the marine wind power field equipment maintenance cost high is solved.
Description
Technical Field
The invention belongs to the technical field of wind power operation and maintenance, and particularly relates to an offshore wind power operation and maintenance evaluation method and device, electronic equipment and a storage medium.
Background
In recent years, with the continuous development of wind power generation technology, the scale of offshore wind power is rapidly expanded, offshore wind farms are further and further away from the shore, and the demand for operation and maintenance of the offshore wind farms is also greater and greater. At present, when a wind generating set in an offshore wind farm has a fault which cannot be solved by means of shutdown and restart, operation and maintenance personnel take a marine operation and maintenance ship to remove the fault.
Because the offshore wind power industry in China starts late compared with Europe, the operation and maintenance years of the produced project are not long, the level of the whole operation and maintenance is not high, and the offshore wind power operation and maintenance simulation system is lack of the whole offshore wind power operation and maintenance simulation system, which is mainly shown in the following steps:
(1) at present, the information of wind, wave, current, tide, weather, visibility, extreme weather conditions and the like in offshore wind power operation and maintenance is not enough to be mastered and applied, a real reasonable window cannot be found in various offshore restriction conditions, and sometimes even the situation that a ship is out of the sea but meets the over-limit wind wave and extreme weather at sea is caused, so that the life safety of operation and maintenance personnel is seriously threatened.
(2) The operation and maintenance cost of onshore wind power plant equipment is low, wind power plant operators generally do not consider cost factors, and compared with the operation and maintenance of onshore wind power plant equipment, the cost of transportation tools required in the operation and maintenance process of offshore wind power plant equipment is high, the reliability of offshore wind power plant equipment is poor, the maintenance frequency is high, and the maintenance cost of offshore wind power plant equipment is high. Therefore, cost factors need to be considered in the operation and maintenance strategy of the offshore wind power equipment. Under the restriction factors, how to design an offshore wind power operation and maintenance evaluation strategy to solve or partially solve the technical defects and obtain an optimal offshore wind power operation and maintenance plan is a big problem which puzzles the offshore wind power industry at present.
Disclosure of Invention
1. Problems to be solved
The invention provides an offshore wind power operation and maintenance evaluation method, device, electronic equipment and storage medium, and aims to solve the problem that in the existing offshore wind power operation and maintenance, a real and reasonable window cannot be found in various offshore restriction conditions, so that the maintenance cost of equipment of an offshore wind power plant is high. Determining different types of time window libraries according to historical marine hydrometeorology data, personnel work and rest time and sea wave condition information in a preset time period, traversing in the time window libraries, and acquiring the starting time P and the returning time Q of the operation and maintenance ship according to a preset strategy; calculating the power generation loss of the wind generating set in the safe operation time of the operation and maintenance ship and the sea cost of the operation and maintenance ship after the ship returns; and judging whether to modify the sea-going time D according to the generated energy loss and the sea-going cost, greatly improving the efficiency of offshore operation and maintenance and reducing the offshore operation and maintenance cost.
2. Technical scheme
In order to solve the above problems, the present invention adopts the following technical solutions.
The invention provides an offshore wind power operation and maintenance assessment method in a first aspect, which comprises the following steps:
s102: obtaining basic operation parameters of offshore operation of the operation and maintenance ship according to historical data of operation and maintenance of the wind generating set, wherein the basic operation parameters comprise: the sea time D, the maximum wind speed of the operation and maintenance task, the maximum wave height of the operation and maintenance task, the minimum operation time and personnel information;
s104: determining different types of time window libraries according to historical marine hydrological weather data, work and rest time of personnel and sea wave condition information in a preset time period;
s106: traversing in the time window library, and acquiring the starting time P and the returning time Q of the operation and maintenance ship according to a preset strategy; simulating the operation time between the starting time P and the returning time Q according to the maximum wind speed of the operation and maintenance task, the maximum wave height of the operation and maintenance task, the minimum operation time and the personnel information;
s108: calculating the power generation loss of the wind generating set in the operation time of the operation and maintenance ship and the sea cost of the operation and maintenance ship after the operation and maintenance ship returns; and judging whether to modify the sea going time D according to the power generation loss and the sea going cost.
In some embodiments, further comprising: acquiring a maintenance priority sequence of the wind generating set according to the historical operation and maintenance record, the annual operation and maintenance plan, the predicted power generation amount and the fault information of the wind generating set; and determining the running track of the operation and maintenance ship according to the maintenance priority sequence.
In some embodiments, the step S104 includes:
carrying out serialized grouping on the operation and maintenance ship and the operation tasks of the operation and maintenance ship;
initializing meteorological data, selecting marine hydrological meteorological historical data in a preset time period, and drawing wave height, wind speed and tidal value into list data according to time points;
and determining different types of time window libraries for standby according to the list data and the work and rest time of the personnel, wherein the time window libraries comprise a plurality of time windows for operation and maintenance of the ship.
In some embodiments, the step of obtaining the departure time P of the operation and maintenance ship according to a predetermined strategy includes:
s201: according to the sea time D, traversing the tide level change situation from front to back in marine hydrological meteorological historical data of a preset time period, and determining an initial time point S1 meeting the lowest tide level requirement of the operation and maintenance ship during sailing at the tidal tide;
s202: from the starting time point S1, continuously traversing and searching backwards in marine hydrometeorology historical data of a preset time period, and determining a time point E which does not meet the requirement of the operation and maintenance ship on the lowest tide level when the tide level is reduced;
s204: traversing the time window library, and searching an effective time window, wherein the effective time window refers to a time window meeting meteorological conditions when the operation and maintenance ship works;
s206: extending the effective time windows to obtain a plurality of continuous effective time windows as a total time window; the duration of the total time window is greater than the minimum operation time;
s208: taking the latest value of the starting time of the total time window and the starting time point S1 as the starting time N of the safe operation of the operation and maintenance ship; the end time of the total time window is used as the end time M of the safe operation of the operation and maintenance ship;
s210: when the time difference between the starting time N and the ending time M accords with the minimum operation time, determining the starting time P as the latest time of the starting time point S1 and the starting time N;
s212: and when the time difference between the starting time N and the ending time M is smaller than the minimum operation time, setting the sea-going time D as the ending time M of the safe operation of the operation and maintenance ship, and repeating the steps S201-S210 to obtain the starting time P again.
In some embodiments, the step of determining the return time Q comprises:
according to the sea time D, traversing the tide level change situation from back to front in the marine hydrometeorology historical data of a preset time period, and determining a time point S2 meeting the requirement of the operation and maintenance ship on the lowest tide level during the return of the tide;
acquiring a time window of the time point S2; extending the time window to obtain a plurality of effective time windows which continuously meet the navigation requirements of the operation and maintenance ship as a total return time window;
and when the duration of the total return time window is longer than the return time estimated by the operation and maintenance ship, and the end time of the total return time window is earlier than a time point S2, determining the starting time of the total return time window as a return time Q.
In some embodiments, the step S108 includes:
setting an initial time vernier T according to the return time Q and the departure time P;
traversing the time window library to obtain the available working time between the return time Q and the departure time P;
comparing the available working time with the remaining time of the operation and maintenance task;
and searching the return time Q when the available working time is less than the remaining time of the operation and maintenance task and the operation and maintenance task is not allowed to be split.
In some embodiments, the step S108 further comprises:
when the available working time is less than the remaining time of the operation and maintenance task and the operation and maintenance task is allowed to be split;
traversing the time window library from front to back from the time corresponding to the time cursor T to obtain an effective time window, extending the effective time window and obtaining an effective time window at the tail;
taking the latest time in the ending time M2 and the return time Q of the last effective time window, subtracting the earliest time between the starting time N2 of the last effective time window and the time corresponding to the vernier time T, and taking the difference as the working time F;
and (4) subtracting the difference value of the working time F from the total time of the operation and maintenance task to be used as the remaining time of the operation and maintenance task.
The invention provides an offshore wind power operation and maintenance evaluation device in a second aspect, which comprises:
the parameter setting module is used for acquiring basic operation parameters of the offshore operation of the operation and maintenance ship according to historical data of the operation and maintenance of the wind generating set, and the basic parameters comprise: the sea time D, the maximum wind speed of the operation and maintenance task, the maximum wave height of the operation and maintenance task, the minimum operation time and personnel information;
the first prediction module is used for determining different types of time window libraries according to historical marine hydrological weather data, working and resting time of personnel and wave and storm condition information in a preset time period;
the second prediction module is used for traversing in the time window library and acquiring the starting time P and the returning time Q of the operation and maintenance ship according to a preset strategy; simulating the operation time between the starting time P and the returning time Q according to the maximum wind speed of the operation and maintenance task, the maximum wave height of the operation and maintenance task, the minimum operation time and the personnel information; and
the operation and maintenance evaluation module is used for calculating the power generation loss of the wind generating set in the operation time of the operation and maintenance ship and the sea cost of the operation and maintenance ship after the operation and maintenance ship returns; and judging whether to modify the sea going time D according to the power generation loss and the sea going cost.
A third aspect of the present invention provides an electronic device, including a processor, an input device, an output device, and a memory, where the processor, the input device, the output device, and the memory are connected in sequence, the memory is used to store a computer program, the computer program includes program instructions, and the processor is configured to call the program instructions to execute the above method.
A fourth aspect of the invention provides a readable storage medium, the storage medium storing a computer program comprising program instructions which, when executed by a processor, cause the processor to perform the method described above.
3. Advantageous effects
Compared with the prior art, the invention has the beneficial effects that:
(1) determining different types of time window libraries according to historical marine hydrometeorology data, personnel work and rest time and sea wave condition information in a preset time period, traversing in the time window libraries, and acquiring the starting time P and the returning time Q of the operation and maintenance ship according to a preset strategy; calculating the power generation loss of the wind generating set in the safe operation time of the operation and maintenance ship and the sea cost of the operation and maintenance ship after the ship returns; and judging whether to modify the sea-going time D according to the generated energy loss and the sea-going cost, greatly improving the efficiency of offshore operation and maintenance and reducing the offshore operation and maintenance cost.
(2) According to the method, the anti-wave capability of the selected offshore operation and maintenance ship is determined to be matched with the minimum working time under different sea state change sea conditions of the offshore wind farm, so that the safety of the offshore operation and maintenance ship in the sailing process is guaranteed.
Drawings
The above and other objects, features and advantages of the present application will become more apparent by describing in more detail embodiments of the present application with reference to the attached drawings. The accompanying drawings are included to provide a further understanding of the embodiments of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the principles of the application. In the drawings, like reference numbers generally represent like parts or steps. In the drawings:
FIG. 1 is a flow chart of an offshore wind power operation and maintenance evaluation method provided by an embodiment of the invention;
FIG. 2 is a block diagram of an offshore wind power operation and maintenance evaluation device provided by an embodiment of the invention;
fig. 3 is a block diagram of an electronic device provided by an embodiment of the invention.
Detailed Description
Hereinafter, embodiments according to the present application will be described in detail with reference to the accompanying drawings. It should be understood that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments of the present application, and it should be understood that the present application is not limited by the embodiments described herein.
Exemplary method
As shown in fig. 1, an offshore wind power operation and maintenance evaluation method includes the following steps:
s102: obtaining basic operation parameters of offshore operation of the operation and maintenance ship according to historical data of operation and maintenance of the wind generating set, wherein the basic operation parameters comprise: the sea time D, the maximum wind speed of the operation and maintenance task, the maximum wave height of the operation and maintenance task, the minimum operation time and personnel information.
Specifically, the basic operation parameters of the operation and maintenance ship in the simulation evaluation are determined according to historical data of the operation and maintenance of the wind generating set, such as the position of the wind generating set, real-time operation parameters of each component of the wind generating set and fault information of the wind generating set. For example, simulation parameters such as project information, sea-going time, sea-going days, meteorological sources, task maximum wind speed, task maximum wave height, minimum operation time, ship voyage time, personnel sea-going cost and the like of the operation and maintenance ship sea-going operation are determined.
When the number of days to sea is short, short-term simulation is executed, and indexes such as relevant sea cost, power generation loss and the like are calculated according to the task execution condition; if the number of days to sea is long, a long-term simulation is performed, wherein the long-term simulation actually consists of a plurality of short-term simulations.
S104: and determining different types of time window libraries according to historical marine hydrological weather data, working and resting time of personnel and wave condition information in the sea in a preset time period.
Specifically, the operation and maintenance ship and the operation tasks of the operation and maintenance ship are subjected to serialized grouping; initializing meteorological data, selecting marine hydrological meteorological historical data in a preset time period, and drawing wave height, wind speed and tidal value into list data according to time points; and determining different types of time window libraries for standby according to the list data and the work and rest time of the personnel, wherein the time window libraries comprise a plurality of time windows for operation and maintenance of the ship. In the embodiment, the predicted marine operation and maintenance safe operation time window is a marine operation and maintenance safe operation time window for taking various vehicles, and the marine operation and maintenance dangerous operation time window for taking a ship is 12 months and 3 to 8 days in 2020.
S106: traversing in the time window library, and acquiring the starting time P and the returning time Q of the operation and maintenance ship according to a preset strategy; and simulating the operation time between the starting time P and the returning time Q according to the maximum wind speed of the operation and maintenance task, the maximum wave height of the operation and maintenance task, the minimum operation time and the personnel information.
As a possible implementation manner, the step of obtaining the departure time P of the operation and maintenance ship according to a predetermined strategy includes:
s201: according to the sea time D, traversing the tide level change situation from front to back in marine hydrological meteorological historical data of a preset time period, and determining an initial time point S1 meeting the lowest tide level requirement of the operation and maintenance ship during sailing at the tidal tide;
s202: from the starting time point S1, continuously traversing and searching backwards in marine hydrometeorology historical data of a preset time period, and determining a time point E which does not meet the requirement of the operation and maintenance ship on the lowest tide level when the tide level is reduced;
s204: traversing the time window library, and searching an effective time window, wherein the effective time window refers to a time window meeting meteorological conditions when the operation and maintenance ship works; in this example, the valid time window means that the starting time of the time window is less than the time point E; and the end time of the time window is greater than the time point S.
S206: extending the effective time windows to obtain a plurality of continuous effective time windows as a total time window; the duration of the total time window is greater than the minimum operation time;
s208: taking the latest value of the starting time of the total time window and the starting time point S1 as the starting time N of the safe operation of the operation and maintenance ship; the end time of the total time window is used as the end time M of the safe operation of the operation and maintenance ship;
s210: when the time difference between the starting time N and the ending time M accords with the minimum operation time, determining the starting time P as the latest time of the starting time point S1 and the starting time N;
s212: and when the time difference between the starting time N and the ending time M is smaller than the minimum operation time, setting the sea-going time D as the ending time M of the safe operation of the operation and maintenance ship, and repeating the steps S201-S210 to obtain the starting time P again.
The effective window refers to a time window meeting meteorological conditions, but in actual marine operation and maintenance operation, cost needs to be considered, and at least certain working time needs to be controlled for one operation, so that the method extends the front and back of a certain found window to obtain the effective working time of the total window, and the total effective working time is ensured to be larger than the minimum time required by the operation and maintenance ship.
As a possible implementation, the step of determining the return time Q comprises:
according to the sea time D, traversing the tide level change situation from back to front in the marine hydrometeorology historical data of a preset time period, and determining a time point S2 meeting the requirement of the operation and maintenance ship on the lowest tide level during the return of the tide;
acquiring a time window of the time point S2; extending the time window to obtain a plurality of effective time windows which continuously meet the navigation requirements of the operation and maintenance ship as a total return time window;
and when the duration of the total return time window is longer than the return time estimated by the operation and maintenance ship, and the end time of the total return time window is earlier than a time point S2, determining the starting time of the total return time window as a return time Q. And if the duration time of the total return time window is not satisfied and is greater than the return time estimated by the operation and maintenance ship, setting the sea arrival time D as the end time of the total return time window, and repeatedly executing the steps to find out that the return time Q or the tide level time point is less than the starting time P.
S108: calculating the power generation loss of the wind generating set in the operation time of the operation and maintenance ship and the sea cost of the operation and maintenance ship after the operation and maintenance ship returns; and judging whether to modify the sea going time D according to the power generation loss and the sea going cost.
Specifically, an initial time vernier T is set according to a return time Q and a departure time P; setting an initial time vernier T as a P value, popping up a task R, and preparing for simulating the task; traversing the time window library to obtain the available working time between the return time Q and the departure time P; comparing the available working time with the remaining time of the operation and maintenance task; and searching the return time Q when the available working time is less than the remaining time of the operation and maintenance task and the operation and maintenance task is not allowed to be split.
When the available working time is less than the remaining time of the operation and maintenance task and the operation and maintenance task is allowed to be split; traversing the time window library from front to back from the time corresponding to the time cursor T to obtain an effective time window, extending the effective time window and obtaining an effective time window at the tail; taking the latest time in the ending time M2 and the return time Q of the last effective time window, subtracting the earliest time between the starting time N2 of the last effective time window and the time corresponding to the vernier time T, and taking the difference as the working time F; and (4) subtracting the difference value of the working time F from the total time of the operation and maintenance task to be used as the remaining time of the operation and maintenance task.
Setting the time of the cursor T as the end time of the effective time window, repeatedly executing the steps until the task is completed, setting the residual time of the operation and maintenance task as 0, setting the cursor T plus the residual required working time before the task as a new T, popping up a new task, and executing the new task again.
And calculating the number of days of sea arrival according to the steps of the starting time P and the return time Q, and further calculating the sea arrival cost and the power generation loss of the operation and maintenance ship.
The total ship sea-going cost is (ship sea-going cost/day) days; total cost of personnel going out of the sea (personnel going out of the sea cost/day) is days.
And generating capacity loss, namely acquiring the electric quantity loss of each unit one by one according to the task units, acquiring a power curve of the unit, then acquiring a stop time interval of the unit, and summarizing the generating capacity loss of all the units, wherein the generating capacity loss is (power at a certain time point + power at the next time point)/2. And if the power generation loss and the sea-going cost are higher, modifying the sea-going time D.
As a variation, obtaining a maintenance priority sequence of the wind generating set according to the historical operation and maintenance record, the annual operation and maintenance plan, the predicted power generation amount and the fault information of the wind generating set; and determining the running track of the operation and maintenance ship according to the maintenance priority sequence.
Specifically, vibration observation sensors are installed on various components, such as a generator, a gear box, a gearbox, blades and the like, of a wind generating set in an offshore wind farm, real-time operation parameters of the various components of the wind generating set are obtained, meanwhile, the real-time operation parameters are compared and analyzed with design parameters of the various components, the current operation state of the various components of the wind generating set is given, and fault information of the wind generating set is obtained.
The offshore maintenance scheme comprises a planned track for maintenance, when the offshore maintenance scheme is executed, the information of the running track of the operation and maintenance personnel is obtained, when the operation and maintenance personnel start to execute the offshore maintenance scheme, shipborne positioning communication terminals can be installed on operation and maintenance vehicles (including but not limited to automobiles and/or tractors and the like) and operation and maintenance ships in advance, and each group of operation and maintenance personnel wear the positioning communication terminals and are opened at the same time. The real-time running track of the operation and maintenance personnel can be known through the shipborne positioning communication terminal and/or the positioning communication terminal. And when the operation track is inconsistent with the planned track, alarm information is generated and sent, no matter on the operation and maintenance vehicle or the operation and maintenance ship, alarm information is generated and sent to relevant personnel such as managers, operation and maintenance personnel, operation and maintenance vehicle drivers, operation and maintenance ship crews and the like, the relevant personnel report the current situation to managers and project managers, and if an accident is determined, the managers command to start an emergency response mechanism, so that the safety of the operation and maintenance personnel is ensured to the maximum extent.
Exemplary devices
As shown in fig. 2, an offshore wind power operation and maintenance evaluation device includes:
the parameter setting module 20 is configured to obtain basic operation parameters of the offshore operation of the operation and maintenance ship according to historical data of operation and maintenance of the wind turbine generator system, where the basic operation parameters include: the sea time D, the maximum wind speed of the operation and maintenance task, the maximum wave height of the operation and maintenance task, the minimum operation time and personnel information;
the first prediction module 30 is used for determining different types of time window libraries according to historical marine hydrological weather data, working and resting time of personnel and wave and storm condition information in a preset time period;
the second prediction module 40 is configured to traverse in the time window library, and obtain a departure time P and a return time Q of the operation and maintenance ship according to a predetermined strategy; simulating the operation time between the starting time P and the returning time Q according to the maximum wind speed of the operation and maintenance task, the maximum wave height of the operation and maintenance task, the minimum operation time and the personnel information; and
the operation and maintenance evaluation module 50 is used for calculating the power generation loss of the wind generating set in the operation time of the operation and maintenance ship and the sea cost of the operation and maintenance ship after the operation and maintenance ship returns; and judging whether to modify the sea going time D according to the power generation loss and the sea going cost.
Exemplary electronic device
Next, an electronic apparatus according to an embodiment of the present application is described with reference to fig. 3. The electronic device may be the removable device itself or a stand-alone device separate therefrom that may communicate with the removable device to receive the captured input signals therefrom and to transmit the combined image information thereto.
FIG. 3 illustrates a block diagram of an electronic device in accordance with an embodiment of the present application.
As shown in fig. 3, the electronic device 10 includes one or more processors 11 and memory 12.
The processor 11 may be a Central Processing Unit (CPU) or other form of processing unit having data processing capabilities and/or instruction execution capabilities, and may control other components in the electronic device 10 to perform desired functions.
In one example, the electronic device 10 may further include: an input device 13 and an output device 14, which are interconnected by a bus system and/or other form of connection mechanism (not shown). For example, the input device 13 may include various devices such as a camera, a video player, and the like. The input device 13 may also include, for example, a keyboard, a mouse, and the like. The output devices 14 may include, for example, a display, speakers, a printer, and a communication network and its connected remote output devices, among others.
Of course, for simplicity, only some of the components of the electronic device 10 relevant to the present application are shown in fig. 3, omitting components such as buses, input/output interfaces, and the like. In addition, the electronic device 10 may include any other suitable components depending on the particular application.
Exemplary computer program product and computer-readable storage Medium
In addition to the above-described methods and apparatus, embodiments of the present application may also be a computer program product comprising computer program instructions that, when executed by a processor, cause the processor to perform the steps in the decision-making method according to various embodiments of the present application described in the "exemplary methods" section of this specification above.
The computer program product may be written with program code for performing the operations of embodiments of the present application in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server.
Furthermore, embodiments of the present application may also be a computer-readable storage medium having stored thereon computer program instructions that, when executed by a processor, cause the processor to perform steps in a decision method according to various embodiments of the present application described in the "exemplary methods" section above of this specification.
The computer-readable storage medium may take any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may include, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The foregoing describes the general principles of the present application in conjunction with specific embodiments, however, it is noted that the advantages, effects, etc. mentioned in the present application are merely examples and are not limiting, and they should not be considered essential to the various embodiments of the present application. Furthermore, the foregoing disclosure of specific details is for the purpose of illustration and description and is not intended to be limiting, since the foregoing disclosure is not intended to be exhaustive or to limit the disclosure to the precise details disclosed.
The block diagrams of devices, apparatuses, systems referred to in this application are only given as illustrative examples and are not intended to require or imply that the connections, arrangements, configurations, etc. must be made in the manner shown in the block diagrams. These devices, apparatuses, devices, systems may be connected, arranged, configured in any manner, as will be appreciated by those skilled in the art. Words such as "including," "comprising," "having," and the like are open-ended words that mean "including, but not limited to," and are used interchangeably therewith. The words "or" and "as used herein mean, and are used interchangeably with, the word" and/or, "unless the context clearly dictates otherwise. The word "such as" is used herein to mean, and is used interchangeably with, the phrase "such as but not limited to".
It should also be noted that in the devices, apparatuses, and methods of the present application, the components or steps may be decomposed and/or recombined. These decompositions and/or recombinations are to be considered as equivalents of the present application.
The previous description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present application. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects of an offshore wind power operation and maintenance assessment method without departing from the scope of the application. Thus, the present application is not intended to be limited to the aspects shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The foregoing description has been presented for purposes of illustration and description. Furthermore, the description is not intended to limit embodiments of the application to the form disclosed herein. While a number of example aspects and embodiments have been discussed above, those of skill in the art will recognize certain variations, modifications, alterations, additions and sub-combinations thereof.
Claims (10)
1. An offshore wind power operation and maintenance assessment method is characterized by comprising the following steps:
s102: obtaining basic operation parameters of offshore operation of the operation and maintenance ship according to historical data of operation and maintenance of the wind generating set, wherein the basic operation parameters comprise: the sea time D, the maximum wind speed of the operation and maintenance task, the maximum wave height of the operation and maintenance task, the minimum operation time and personnel information;
s104: determining different types of time window libraries according to historical marine hydrological weather data, work and rest time of personnel and sea wave condition information in a preset time period;
s106: traversing in the time window library, and acquiring the starting time P and the returning time Q of the operation and maintenance ship according to a preset strategy; simulating the operation time between the starting time P and the returning time Q according to the maximum wind speed of the operation and maintenance task, the maximum wave height of the operation and maintenance task, the minimum operation time and the personnel information;
s108: calculating the power generation loss of the wind generating set in the operation time of the operation and maintenance ship and the sea cost of the operation and maintenance ship after the operation and maintenance ship returns; and judging whether to modify the sea going time D according to the power generation loss and the sea going cost.
2. The offshore wind power operation and maintenance evaluation method according to claim 1, further comprising: acquiring a maintenance priority sequence of the wind generating set according to the historical operation and maintenance record, the annual operation and maintenance plan, the predicted power generation amount and the fault information of the wind generating set; and determining the running track of the operation and maintenance ship according to the maintenance priority sequence.
3. The offshore wind power operation and maintenance evaluation method according to claim 1, wherein said step S104 comprises:
carrying out serialized grouping on the operation and maintenance ship and the operation tasks of the operation and maintenance ship;
initializing meteorological data, selecting marine hydrological meteorological historical data in a preset time period, and drawing wave height, wind speed and tidal value into list data according to time points;
and determining different types of time window libraries for standby according to the list data and the work and rest time of the personnel, wherein the time window libraries comprise a plurality of time windows for operation and maintenance of the ship.
4. The offshore wind power operation and maintenance evaluation method according to claim 3, wherein the step of obtaining the departure time P of the operation and maintenance ship according to a predetermined strategy comprises the following steps:
s201: according to the sea time D, traversing the tide level change situation from front to back in marine hydrological meteorological historical data of a preset time period, and determining an initial time point S1 meeting the lowest tide level requirement of the operation and maintenance ship during sailing at the tidal tide;
s202: from the starting time point S1, continuously traversing and searching backwards in marine hydrometeorology historical data of a preset time period, and determining a time point E which does not meet the requirement of the operation and maintenance ship on the lowest tide level when the tide level is reduced;
s204: traversing the time window library, and searching an effective time window, wherein the effective time window refers to a time window meeting meteorological conditions when the operation and maintenance ship works;
s206: extending the effective time windows to obtain a plurality of continuous effective time windows as a total time window; the duration of the total time window is greater than the minimum operation time;
s208: taking the latest value of the starting time of the total time window and the starting time point S1 as the starting time N of the safe operation of the operation and maintenance ship; the end time of the total time window is used as the end time M of the safe operation of the operation and maintenance ship;
s210: when the time difference between the starting time N and the ending time M accords with the minimum operation time, determining the starting time P as the latest time of the starting time point S1 and the starting time N;
s212: and when the time difference between the starting time N and the ending time M is smaller than the minimum operation time, setting the sea-going time D as the ending time M of the safe operation of the operation and maintenance ship, and repeating the steps S201-S210 to obtain the starting time P again.
5. The offshore wind power operation and maintenance evaluation method according to claim 4, wherein the step of determining the return time Q comprises:
according to the sea time D, traversing the tide level change situation from back to front in the marine hydrometeorology historical data of a preset time period, and determining a time point S2 meeting the requirement of the operation and maintenance ship on the lowest tide level during the return of the tide;
acquiring a time window of the time point S2; extending the time window to obtain a plurality of effective time windows which continuously meet the navigation requirements of the operation and maintenance ship as a total return time window;
and when the duration of the total return time window is longer than the return time estimated by the operation and maintenance ship, and the end time of the total return time window is earlier than a time point S2, determining the starting time of the total return time window as a return time Q.
6. The offshore wind power operation and maintenance evaluation method according to claim 5, wherein said step S108 comprises:
setting an initial time vernier T according to the return time Q and the departure time P;
traversing the time window library to obtain the available working time between the return time Q and the departure time P;
comparing the available working time with the remaining time of the operation and maintenance task;
and searching the return time Q when the available working time is less than the remaining time of the operation and maintenance task and the operation and maintenance task is not allowed to be split.
7. The offshore wind power operation and maintenance evaluation method according to claim 6, wherein said step S108 further comprises:
when the available working time is less than the remaining time of the operation and maintenance task and the operation and maintenance task is allowed to be split;
traversing the time window library from front to back from the time corresponding to the time cursor T to obtain an effective time window, extending the effective time window and obtaining an effective time window at the tail;
taking the latest time in the ending time M2 and the return time Q of the last effective time window, subtracting the earliest time between the starting time N2 of the last effective time window and the time corresponding to the vernier time T, and taking the difference as the working time F;
and (4) subtracting the difference value of the working time F from the total time of the operation and maintenance task to be used as the remaining time of the operation and maintenance task.
8. An offshore wind power operation and maintenance evaluation device is characterized by comprising:
the parameter setting module is used for acquiring basic operation parameters of the offshore operation of the operation and maintenance ship according to historical data of the operation and maintenance of the wind generating set, and the basic parameters comprise: the sea time D, the maximum wind speed of the operation and maintenance task, the maximum wave height of the operation and maintenance task, the minimum operation time and personnel information;
the first prediction module is used for determining different types of time window libraries according to historical marine hydrological weather data, working and resting time of personnel and wave and storm condition information in a preset time period;
the second prediction module is used for traversing in the time window library and acquiring the starting time P and the returning time Q of the operation and maintenance ship according to a preset strategy; simulating the operation time between the starting time P and the returning time Q according to the maximum wind speed of the operation and maintenance task, the maximum wave height of the operation and maintenance task, the minimum operation time and the personnel information; and
the operation and maintenance evaluation module is used for calculating the power generation loss of the wind generating set in the operation time of the operation and maintenance ship and the sea cost of the operation and maintenance ship after the operation and maintenance ship returns; and judging whether to modify the sea going time D according to the power generation loss and the sea going cost.
9. An electronic device comprising a processor, an input device, an output device, and a memory, the processor, the input device, the output device, and the memory being connected in series, the memory being configured to store a computer program comprising program instructions, the processor being configured to invoke the program instructions to perform the method of any of claims 1-7.
10. A readable storage medium, characterized in that the storage medium stores a computer program comprising program instructions which, when executed by a processor, cause the processor to carry out the method according to any one of claims 1-7.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011314560.6A CN112508238A (en) | 2020-11-20 | 2020-11-20 | Offshore wind power operation and maintenance assessment method and device, electronic equipment and storage medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011314560.6A CN112508238A (en) | 2020-11-20 | 2020-11-20 | Offshore wind power operation and maintenance assessment method and device, electronic equipment and storage medium |
Publications (1)
Publication Number | Publication Date |
---|---|
CN112508238A true CN112508238A (en) | 2021-03-16 |
Family
ID=74959245
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202011314560.6A Pending CN112508238A (en) | 2020-11-20 | 2020-11-20 | Offshore wind power operation and maintenance assessment method and device, electronic equipment and storage medium |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112508238A (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113468767A (en) * | 2021-08-06 | 2021-10-01 | 中国华能集团清洁能源技术研究院有限公司 | Method and system for evaluating power generation capacity of offshore wind turbine generator |
CN113642937A (en) * | 2021-10-13 | 2021-11-12 | 深圳市信润富联数字科技有限公司 | Operation and maintenance scheduling method and device for fan cluster, electronic equipment and storage medium |
CN114625819A (en) * | 2022-02-14 | 2022-06-14 | 福建海电运维科技有限责任公司 | Method and terminal for calculating operation window period of offshore wind power operation and maintenance ship |
CN115001948A (en) * | 2022-08-05 | 2022-09-02 | 深圳市博科思智能股份有限公司 | Equipment health state detection method based on data analysis and related device |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105678385A (en) * | 2015-12-31 | 2016-06-15 | 江苏金风科技有限公司 | Operation and maintenance method and platform used for offshore wind plant |
CN107111797A (en) * | 2014-07-01 | 2017-08-29 | 莫乔海事有限公司 | Method of producing a composite material |
CN107944724A (en) * | 2017-12-01 | 2018-04-20 | 华能国际电力股份有限公司 | Operation and maintenance decision method for offshore wind power equipment |
CN110135663A (en) * | 2019-06-10 | 2019-08-16 | 北京千尧新能源科技开发有限公司 | It is a kind of for predicting that offshore wind farm O&M ship goes to sea the method and system of decision |
CN110222851A (en) * | 2019-05-30 | 2019-09-10 | 北京千尧新能源科技开发有限公司 | A kind of marine wind electric field wisdom operation management system and management method |
CN110245795A (en) * | 2019-06-10 | 2019-09-17 | 北京千尧新能源科技开发有限公司 | A kind of method and system for the simulation of offshore wind farm O&M Simulation on Decision |
-
2020
- 2020-11-20 CN CN202011314560.6A patent/CN112508238A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107111797A (en) * | 2014-07-01 | 2017-08-29 | 莫乔海事有限公司 | Method of producing a composite material |
CN105678385A (en) * | 2015-12-31 | 2016-06-15 | 江苏金风科技有限公司 | Operation and maintenance method and platform used for offshore wind plant |
CN107944724A (en) * | 2017-12-01 | 2018-04-20 | 华能国际电力股份有限公司 | Operation and maintenance decision method for offshore wind power equipment |
CN110222851A (en) * | 2019-05-30 | 2019-09-10 | 北京千尧新能源科技开发有限公司 | A kind of marine wind electric field wisdom operation management system and management method |
CN110135663A (en) * | 2019-06-10 | 2019-08-16 | 北京千尧新能源科技开发有限公司 | It is a kind of for predicting that offshore wind farm O&M ship goes to sea the method and system of decision |
CN110245795A (en) * | 2019-06-10 | 2019-09-17 | 北京千尧新能源科技开发有限公司 | A kind of method and system for the simulation of offshore wind farm O&M Simulation on Decision |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113468767A (en) * | 2021-08-06 | 2021-10-01 | 中国华能集团清洁能源技术研究院有限公司 | Method and system for evaluating power generation capacity of offshore wind turbine generator |
CN113468767B (en) * | 2021-08-06 | 2023-10-13 | 中国华能集团清洁能源技术研究院有限公司 | Method and system for evaluating generating capacity of offshore wind turbine |
CN113642937A (en) * | 2021-10-13 | 2021-11-12 | 深圳市信润富联数字科技有限公司 | Operation and maintenance scheduling method and device for fan cluster, electronic equipment and storage medium |
CN114625819A (en) * | 2022-02-14 | 2022-06-14 | 福建海电运维科技有限责任公司 | Method and terminal for calculating operation window period of offshore wind power operation and maintenance ship |
CN115001948A (en) * | 2022-08-05 | 2022-09-02 | 深圳市博科思智能股份有限公司 | Equipment health state detection method based on data analysis and related device |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN112508238A (en) | Offshore wind power operation and maintenance assessment method and device, electronic equipment and storage medium | |
Scheu et al. | Maintenance strategies for large offshore wind farms | |
Dalgic et al. | Investigation of optimum crew transfer vessel fleet for offshore wind farm maintenance operations | |
EP4246391A1 (en) | Rail traffic parallel deduction system and method | |
Abaei et al. | A robust risk assessment methodology for safety analysis of marine structures under storm conditions | |
CN105678385A (en) | Operation and maintenance method and platform used for offshore wind plant | |
CN113931258B (en) | Self-diagnosis method and non-negative pressure-superposed water supply equipment | |
CN113112869B (en) | Method, device, equipment and medium for customizing electronic fence and processing data | |
CN112435449A (en) | Full-digital intelligent fishery illegal ship identification and troubleshooting system and method | |
CN111694355B (en) | Ship formation navigation control method, system and storage medium | |
CN108313236A (en) | A kind of ship's navigation method for early warning and system | |
CN115345519A (en) | Offshore wind power risk assessment method, device, equipment and storage medium | |
Dos Santos et al. | Maintenance planning of an offshore wind turbine using stochastic petri nets with predicates | |
CN117664122A (en) | Ship track monitoring method and system | |
Torres et al. | Offshore logistics: scenario planning and installation modeling of floating offshore wind projects | |
Chen et al. | Art and science of ship voyage optimization: A critical review | |
CN112214866B (en) | Marine equipment health condition judging method and device and computer equipment | |
CN119417443A (en) | Offshore wind turbine operation and maintenance method and device based on operation and maintenance time window calculation | |
CN114997645A (en) | Method, system, computer device and medium for optimizing operation and maintenance scheduling of offshore wind farm | |
Park et al. | Estimation model of energy efficiency operational indicator using public data based on big data technology | |
CN111290298B (en) | Simulation test system and method for automatic off-berthing function of intelligent ship | |
Chatterjee et al. | Deep reinforcement learning for maintenance planning of offshore vessel transfer | |
CN118378014A (en) | A method and system for calculating the probability of a stable period based on the spectrum of ship motion | |
CN116108989B (en) | Wind power ultra-short-term power prediction method, system, storage medium and device | |
US11898934B1 (en) | Integration and tuning of performance control parameters of a vessel in order to meet decarbonization goals |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |