CN111917139A - Method and system for determining blackable window period of main equipment of power grid - Google Patents

Abstract

The invention relates to a method and a system for determining a power outage window period for main equipment of a power grid. The method includes: a method for determining a power outage window period for main equipment of a power grid. The function of the equipment determines the classification type of the function classification of the power transmission and transformation equipment in the power grid; step 2: collect basic data corresponding to the classification type according to the classification type; step 3: determine the transmission and transformation equipment according to the basic data. The power outage window period of the substation equipment; Step 4: Output and display the power outage window period. The invention collects corresponding basic data according to the classification type of the function classification of the power transmission and transformation equipment in the power grid, determines and outputs the blackout window period of the power transmission and transformation equipment according to the basic data, the determination method is scientific and reasonable, and can Reduce equipment stoppages and reduce power grid security risks caused by maintenance.

Description

A method and system for determining the blackout window period of main equipment of power grid

technical field

The invention belongs to the field of electric power systems and automation thereof, and in particular relates to a method and a system for determining a blackout window period for main equipment of a power grid.

Background technique

With the rapid development of UHV power grids and the large-scale and high proportion of new energy grids connected to the grid, the structure of the power grid is becoming more and more complex, and it is becoming more and more difficult to arrange power outages for equipment. The blackout plan not only involves grid security and power balance, but also affects UHV construction, municipal relocation, the smooth implementation of railway construction, and the realization of the national clean energy consumption strategy. The complexity of the power grid and the importance of equipment power outages determine that the power outage plan must be coordinated, scientific and rational. In addition, with the development of the power grid, the demand for power outages is increasing, and the available equipment outage time is very limited. How to determine the available time for equipment outages and how to arrange equipment outages as scientifically, comprehensively and objectively as possible has become particularly important. It is urgent to use Advanced technical means to guide and standardize the arrangement of equipment outage plans. The power outage window period of the main equipment of the power grid is the time range in which the main equipment can be safely outaged. The calculation of the power outage window period provides a basis for compiling an efficient and reasonable maintenance plan. It can minimize repeated power outages, improve the efficiency of one-stop multi-use, reduce equipment downtime, reduce power grid safety hazards caused by maintenance, and ensure the normal operation of the power grid. However, at present, the determination of the blackout window period of the power grid is not scientific enough, and the equipment has been shut down seriously, and the power grid security risks caused by maintenance are relatively large.

SUMMARY OF THE INVENTION

The main purpose of the present invention is to overcome the shortcomings and deficiencies of the prior art, and to provide a method and system for determining the power outage window period of the main equipment of the power grid. Based on the basic data, the power outage window period of the power transmission and transformation equipment can be determined and outputted according to the basic data.

According to one aspect of the present invention, the present invention provides a method for determining a power outage window period of a main power grid device, the method comprising:

Determine the classification type of the function classification of the power transmission and transformation equipment in the power grid according to the function of the power transmission and transformation equipment;

Collect basic data corresponding to the classification type according to the classification type;

The blackout window period of the power transmission and transformation equipment is determined according to the basic data.

Preferably, it also includes the step of outputting and displaying the blackout window period.

Preferably, the classification types of the functional classification include at least one of the following: wind power transmission channel equipment, hydropower transmission channel equipment, photovoltaic transmission channel equipment, nuclear power transmission channel equipment, thermal power transmission channel equipment, cross-regional equipment and cross-connection equipment Equipment that affects the capacity of the district passage, equipment that affects the cross-provincial passage, equipment that affects the capacity of the inter-provincial passage, equipment that has an impact on the cross-section limit, and equipment that feeds the load.

Preferably, when the classification type is wind power transmission channel equipment, the basic data includes at least one of the following: a wind speed trend curve within a preset year and a regional load curve blocked by the channel; The steps of the power outage window period of the electrical equipment include: determining the maximum period of the algebraic difference between the load and the wind speed converted to electricity throughout the year as the power outage window period; if there is no load in the blocked area, select the minimum period of wind power generation as the power outage window period.

Preferably, when the classification type is hydropower transmission channel equipment, the basic data includes: annual hydropower generation power curve; the step of determining the power outage window period of the power transmission and transformation equipment includes: determining the hydropower dry season as a power outage possible window period.

Preferably, when the classification type is a cross-regional device and a device that has an impact on the cross-regional channel capability, the basic data includes: the annual load curve of the sending-end power grid, the annual load curve of the receiving-end power grid, and the clean energy transmission of the sending-end power grid. Demand curve; the step of determining the blackout window period of the power transmission and transformation equipment includes: the period when the sending capacity is greater than the sending demand is the blackout window period 1; the minimum period of the clean energy sending demand curve of the sending end power grid is the blackout window period 2; the receiving end is the blackout window period 2; After the power grid generator set maintenance plan and the cross-provincial channel power outage plan are coordinated and adjusted, the period that meets the power balance of the receiving end grid is the power outage window period 3; the overlapping period of the power outage window periods 1, 2, and 3 is determined as the final power outage window period.

According to another aspect of the present invention, the present invention also provides a system for determining a power outage window period for a main power grid device, the system comprising:

a determining module, configured to determine the classification type of the function classification of the power transmission and transformation equipment in the power grid according to the function of the power transmission and transformation equipment;

a collection module, configured to collect basic data corresponding to the classification type according to the classification type;

A judgment module, configured to determine the blackout window period of the power transmission and transformation equipment according to the basic data.

Preferably, it also includes: an output module, configured to output and display the blackout window period.

Preferably, the classification types of the functional classification include at least one of the following: wind power transmission channel equipment, hydropower transmission channel equipment, photovoltaic transmission channel equipment, nuclear power transmission channel equipment, thermal power transmission channel equipment, cross-regional equipment and cross-connection equipment Equipment that affects the capacity of the district passage, equipment that affects the cross-provincial passage, equipment that affects the capacity of the inter-provincial passage, equipment that has an impact on the cross-section limit, and equipment that feeds the load.

Preferably, when the classification type is wind power transmission channel equipment, the basic data includes at least one of the following: a wind speed trend curve within a preset year and a regional load curve blocked by the channel; The steps of the blackout window period of the electrical equipment include: if there is load in the blocked area, the maximum period of the algebraic difference between the load and the wind speed converted to electricity in the whole year is determined as the blackout window period; if there is no load in the blocked area, the minimum period of wind power generation is selected. It is the window period for power outages.

Preferably, when the classification type is a hydropower transmission channel device, the basic data includes: an annual hydropower generation power curve; the step of determining a power outage window period includes: determining a hydropower dry season as a power outage window period.

Preferably, when the classification type is a cross-regional device and a device that has an impact on the cross-regional channel capability, the basic data includes: the annual load curve of the sending-end power grid, the annual load curve of the receiving-end power grid, and the clean energy transmission of the sending-end power grid. Demand curve; the step of determining the blackout window period of the power transmission and transformation equipment includes: the period when the sending capacity is greater than the sending demand is the blackout window period 1; the minimum period of the clean energy sending demand curve of the sending end power grid is the blackout window period 2; the receiving end is the blackout window period 2; After the power grid generator set maintenance plan and the cross-provincial channel power outage plan are coordinated and adjusted, the period that meets the power balance of the receiving end grid is the power outage window period 3; the overlapping period of the power outage window periods 1, 2, and 3 is determined as the final power outage window period.

Beneficial effects: the present invention collects corresponding basic data according to the classification type of the function classification of the power transmission and transformation equipment in the power grid, determines and outputs the blackout window period of the power transmission and transformation equipment according to the basic data, and the determination method is scientific Reasonable, can reduce equipment stoppage and reduce the hidden danger of power grid security caused by maintenance.

The features and advantages of the present invention will become apparent by reference to the following drawings and detailed description of specific embodiments of the present invention.

Description of drawings

The accompanying drawings forming a part of the present application are used to provide further understanding of the present invention, and the exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the attached image:

Fig. 1 is a schematic diagram of the method for determining the window period for power outages of main equipment of the power grid;

Figure 2-8 is a schematic diagram of the process of determining the blackout window period according to the classification type;

FIG. 9 is a schematic diagram showing the determination result of the blackout window period;

FIG. 10 is a schematic diagram of the structure of the system for determining the available power outage window period of the main equipment of the power grid.

Detailed ways

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terms used herein in the description of the present invention are for the purpose of describing specific embodiments only, and are not intended to limit the present invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.

Example 1

FIG. 1 is a schematic diagram of a method for determining the window period for power outages of main equipment in the power grid. As shown in FIG. 1 , the present invention provides a method for determining a power outage window period for main equipment of a power grid. The method includes:

Step 1: Determine the classification type of the function classification of the power transmission and transformation equipment in the power grid according to the function of the power transmission and transformation equipment;

In this step, the classification types of the functional classification include: wind power transmission channel equipment, hydropower transmission channel equipment, photovoltaic transmission channel equipment, nuclear power transmission channel equipment, thermal power transmission channel equipment, cross-regional equipment, and cross-regional channel capacity. Equipment, inter-provincial equipment and equipment that affects the capacity of inter-provincial passages, section equipment and equipment that affects the section limit, feed-in load equipment, and feed-in load equipment includes feed-in load equipment with grid-connected power plants and no Feed and supply load equipment of grid-connected power plants.

Step 2: collecting basic data corresponding to the classification type according to the classification type;

In this step, the basic data is generally a wind speed trend curve, a power generation curve, a regional load curve, an annual load curve, a demand curve, and the like.

Step 3: Determine the blackout window period of the power transmission and transformation equipment according to the basic data;

In this step, when the power outage window period overlaps, the following processing is performed:

(1) When there is a common impact, the power outage window period of the cross-regional equipment and the equipment that has an impact on the cross-region channel capability is not regarded as the power outage window period of the cross-provincial equipment.

(2) When the optimization objectives of grid security, power balance and clean energy consumption conflict, and it is impossible to determine the blackout window period, the priority order of grid security, power balance and clean energy consumption shall be selected, that is, first to ensure safety, and then Guarantee the supply, and finally guarantee the consumption of clean energy.

(3) The time period during which the maintenance of the power grid equipment at the sending and receiving end forms a reverse constraint on the power transmission demand of cross-regional and cross-provincial equipment is not regarded as the power outage window period for the power grid equipment at the receiving end.

(4) When the power generation capacity is affected by the maintenance of the grid-connected equipment (lines, main transformers, busbars, and series resistance) of the power plant, the impact of the reduction of the power generation capacity on the local, whole-grid power balance and transaction contracts should be evaluated; single-circuit, double-circuit, same-tower When special wiring methods such as multi-circuit radiating lines do not meet the above requirements, power supply can be guaranteed through load reverse supply and low-voltage backup self-switching, and demand-side management measures can be taken if necessary.

(5) For the power transmission and transformation equipment located in the power supply path between the two parties of the direct transaction of large users, the power outage window period should be as consistent as possible.

(6) In addition to the window period given according to the single-circuit line, the multi-circuit line on the same tower should also be given the window period according to the same stop of the multi-circuit line.

(7) When the construction spanning, crossing, etc. require simultaneous power outages on different towers and multi-circuit lines, the outage window period should be determined separately

Step 4: Output and display the blackout window period.

In this step, the determined blackout window period is displayed in the user interface, which is intuitive and reliable.

The method for determining the blackout window period will be introduced one by one in combination with the classification types of the function classification of the power transmission and transformation equipment in the power grid.

Referring to Figure 2, the method for determining the blackout window period of wind power transmission channel equipment includes the following steps:

First collect basic data, which includes:

Collect 10-meter wind speed trend curve for 1-3 years;

Judging the regional load curve blocked by the channel in 1-3 years: if the channel is an inter-provincial channel, it is the load curve of the sending provincial grid; if the channel is an inter-regional channel, it is the load curve of the regional grid at the sending end;

Next, determine the outage window period. The steps are as follows:

Determine whether there is a load in the blocked area: if there is a load, the maximum period of the algebraic difference between the load and the wind speed converted to electricity throughout the year is the power outage window period; if there is no load in the blocked area, the minimum wind power generation period is selected as the power outage window period.

FIG. 3 shows a schematic flow chart of determining the blackout window period of the hydropower transmission channel equipment.

First, the basic data is collected, that is, the annual hydropower generation power curve (8760 points) is collected, and then the power outage window period is determined, and the hydropower dry season is determined as the power outage window period.

Referring to Fig. 4, the method for determining the blackout window period of photovoltaic output channel equipment includes the following steps:

First collect basic data, which includes:

Collect the trend curve of photovoltaic power generation in 1-3 years (the new installed capacity is converted to the simultaneous rate of the original machine)

Collect the regional load curve blocked by the channel in 1-3 years: if the channel is an inter-provincial channel, it is the load curve of the sending provincial grid; if the channel is a cross-regional channel, it is the load curve of the regional grid at the sending end.

Next, determine the outage window period. The steps include:

Determine whether there is load in the blocked area: there is load in the blocked area, and the maximum period of algebraic difference between the load and the converted power of optical resources in the whole year is the power outage window period; if there is no load in the blocked area, the minimum period of photovoltaic power generation is selected as the power outage window period.

Referring to Figure 5, the method for determining the blackout window period of cross-regional equipment and equipment that has an impact on cross-region channel capability includes the following steps:

First collect basic data, which includes:

Collect the annual load curve of the sending-end power grid;

Collect the annual load curve of the receiving end power grid;

Collect the clean energy sending demand (curve) of the sending end grid.

Secondly, the window period is calculated according to the collected annual load curve of the sending-end power grid, the annual load curve of the receiving-end power grid, and the polar window period of the clean energy sending demand of the sending-end power grid, including:

The period when the delivery capacity is greater than the delivery demand is the power outage window period 1;

The minimum period of demand (curve) for sending clean energy from the sending end grid is window period 2;

After the adjustment of the receiving-end power grid generator set maintenance plan and the cross-provincial channel power outage plan, the period that meets the power and electricity balance of the receiving-end power grid is the power outage window period 3;

The power outage window periods 1, 2, and 3 are calculated together, and the overlapping period is the outage window period.

Referring to Figure 6, the method for determining the outage window period for equipment with an impact on the section quota includes:

First collect basic data, which includes:

Collect the load curve in the blocked area of the section;

Collect the maintenance plan of the generator set in the blocked area of the section;

The influence of the power transmission capacity of the collection section on the power balance outside the area;

Collect clean energy power generation demand in the blocked area of the section.

Secondly, according to the collected load curve in the blocked area of the section, the maintenance plan of the generator set in the blocked area of the section, the influence of the power transmission capacity of the section on the power balance outside the area, and the demand for clean energy power generation in the blocked area of the section, the window period is calculated, including:

The period when the power balance in the blocked area of the section meets the standby requirements, or the period when the maintenance plan of the generator sets in the blocked area can meet the standby requirements is the power outage window period 1.

The time period when the demand for load-power-generation-clean energy power generation in the blockage area of the section is the largest is the power outage window period 2.

The period when the cross-section power transmission capacity does not affect the power balance outside the blocking area is the power outage window period 3.

The power outage window periods 1, 2, and 3 are calculated together, and the overlapping period is the outage window period.

Referring to Figure 7, the method for determining the outage window period of the feed-in load equipment of the grid-connected power plant includes:

First collect basic data, which includes:

Collect the annual load curve of the feeder area;

Collect the maintenance plan of continuous productive important loads in the feeding area;

Collect annual trends of seasonal important loads in feeding areas (such as agricultural irrigation loads);

Collect the maintenance plan and output trend of generator sets in the feeder area.

Secondly, the window period is calculated according to the annual load curve of the feeder area, the maintenance plan of the continuous productive important load in the feeder area, the annual trend of seasonal important loads in the feeder area, and the maintenance plan and output trend of the generator sets in the feeder area, including:

The annual load trough period in the feeding area is the power outage window period 1;

The period for maintenance and maintenance of continuous production of important loads in the feeder area is the power outage window period 2;

The annual off-peak period of seasonal important loads in the feeder area is the power outage window period3;

The period when the output of the generator sets in the feeding and supplying area meets the zero power exchange with the outside world is the blackout window period 4;

The power outage window periods 1, 2, 3, and 4 are calculated together, and the overlapping period is the outage window period.

Referring to Figure 8, the method for determining the outage window period of the feeder-supplied load equipment of the non-grid-connected power plant includes:

First collect basic data, which includes:

Collect the annual load curve of the feeder area;

Collect the maintenance plan of continuous productive important loads in the feeding area;

Collect annual trends of seasonal important loads in feeding areas (such as agricultural irrigation loads).

Secondly, calculate the window period according to the annual load curve of the feeder and supply area, the maintenance plan of the continuous productive important load in the feeder and supply area, and the annual trend of seasonal important loads in the feeder and supply area, including:

The annual load trough period in the feeding area is the power outage window period 1;

The period for maintenance and maintenance of continuous production of important loads in the feeder area is the power outage window period 2;

The annual off-peak period of seasonal important loads in the feeder area is the power outage window period3;

The power outage window periods 1, 2, and 3 are calculated together, and the overlapping period is the outage window period.

In addition, it is also possible to determine the outage window period of the nuclear power transmission channel equipment and thermal power transmission channel equipment. After the power outage window period is determined, cooperate with the nuclear power unit maintenance, and cooperate with the thermal power unit maintenance when it does not affect the balance and external transmission; The power outgoing line cooperates with the cross-regional system for maintenance.

It is also possible to determine the blackout window period for cross-provincial equipment and equipment that has an impact on the cross-provincial channel capability. First, collect basic data, including:

(1) The annual load curve of the sending end power grid;

(2) The annual load curve of the receiving end power grid;

(3) The demand (curve) for sending clean energy from the power grid at the sending end.

Next, determine the window period for power outages. The steps include:

(1) The period when the delivery capacity is greater than the delivery demand is the power outage window period 1;

(2) The minimum period of demand (curve) for sending clean energy from the sending end grid is window period 2;

(3) After the adjustment of the receiving-end power grid generator set maintenance plan and the cross-regional channel power outage plan, the period that meets the power and electricity balance of the receiving-end power grid is the power outage window period 2;

The overlapping period of blackout window period 1, 2, and 3 is the blackout window period.

FIG. 9 is a schematic diagram showing the determination result of the blackout window period. With reference to Figure 9, a specific implementation process is given.

The Jinsu DC system starts from the east of Jinping, Sichuan to Suzhou, Jiangsu, with a total length of 2,058 kilometers and a rated capacity of 7.2 million kilowatts. The maintenance of equipment has a huge impact on the water level fluctuation and the balance of power at the receiving end of the key hydropower plants in the southwest, and the selection of maintenance timing is extremely complicated.

By combining the historical power transmission level of Jinsu HVDC and the water level fluctuation curve of the reservoir, as well as the load prediction of the receiving terminal and the power receiving AC section capacity, the outage window of the Jinsu HVDC system is scientifically calculated:

(1) Criterion (formula): [Jinxi upstream water level]<1860∩[Jinsu DC]<3600∩[Sichuan power delivery demand]<5100∩[Jiangsu total load]*0.15<12000∩[South Jiangsu AC Section] < 5000.

(2) Factors to consider: First, the Jinsu DC delivery demand is small and the Jinxi Power Plant has a certain storage capacity (the water level is below 1860 meters); the second is the Sichuan hydropower delivery demand is small, and the Jinsu maintenance situation avoids water abandonment. That is [Sichuan power delivery demand] < 5100 (the minimum capacity of Fufeng, Binjin and Sichuan-Chongqing AC cross-sections is 5100 in the case of Jinsu maintenance); (3) The load at the receiving end of southern Jiangsu is low, and the power of the AC receiving section is low, Jinsu power outage avoids load limit in southern Jiangsu, that is, [Jiangsu total load]*0.15<12000∩[Southern Jiangsu AC section]<5000.

Display the available power outage window period, and the display result is shown in Figure 9.

Example 2

FIG. 10 is a schematic structural diagram of a system for determining the available power outage window period of the main equipment of the power grid. The system for determining the available power outage window period for the main equipment of the power grid includes:

a determining module, configured to determine the classification type of the function classification of the power transmission and transformation equipment in the power grid according to the function of the power transmission and transformation equipment;

a collection module, configured to collect basic data corresponding to the classification type according to the classification type;

a judgment module, configured to determine the blackout window period of the power transmission and transformation equipment according to the basic data;

The output module is used for outputting and displaying the blackout window period.

Preferably, the classification types of the functional classification include: wind power transmission channel equipment, hydropower transmission channel equipment, photovoltaic transmission channel equipment, nuclear power transmission channel equipment, thermal power transmission channel equipment, cross-regional equipment and equipment that has an impact on cross-regional channel capability , Cross-provincial equipment and equipment that has an impact on cross-provincial channel capacity, cross-section equipment, equipment that affects cross-section quota, and feeder load equipment.

Preferably, when the classification type is wind power transmission channel equipment, the basic data includes: a wind speed trend curve within a preset year and a regional load curve blocked by the channel; the step of determining the power outage window period includes: The maximum period of the algebraic difference between the load and wind speed converted power is determined as the blackout window period; if there is no load in the blocked area, the minimum period of wind power generation is selected as the blackout window period.

Preferably, when the classification type is a hydropower transmission channel device, the basic data includes: an annual hydropower generation power curve; the step of determining a power outage window period includes: determining a hydropower dry season as a power outage window period.

Preferably, when the classification type is a cross-regional device and a device that has an impact on the cross-regional channel capability, the basic data includes: the annual load curve of the sending-end power grid, the annual load curve of the receiving-end power grid, and the clean energy transmission of the sending-end power grid. Demand curve; the step of determining the power outage window period includes: the period when the transmission capacity is greater than the transmission demand is the outage window period 1; the minimum period of the clean energy transmission demand curve of the sending end power grid is the power outage window period 2; After the adjustment of the provincial channel blackout plan, the period that meets the power balance of the receiving end grid is the blackout window period 3; the overlapping period of the blackout window periods 1, 2, and 3 is determined as the final blackout window period.

The implementation process of the functions of each module in this embodiment is the same as the implementation process of the method steps in Embodiment 1, and will not be repeated here.

The invention collects corresponding basic data according to the classification type of the function classification of the power transmission and transformation equipment in the power grid, determines and outputs the blackout window period of the power transmission and transformation equipment according to the basic data, the determination method is scientific and reasonable, and can Reduce equipment stoppages and reduce power grid security risks caused by maintenance.

As will be appreciated by those skilled in the art, the embodiments of the present application may be provided as a method, a system, or a computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present application. It will be understood that each flow and/or block in the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to the processor of a general purpose computer, special purpose computer, embedded processor or other programmable data processing device to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing device produce Means for implementing the functions specified in a flow or flow of a flowchart and/or a block or blocks of a block diagram.

These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory result in an article of manufacture comprising instruction means, the instructions The apparatus implements the functions specified in the flow or flows of the flowcharts and/or the block or blocks of the block diagrams.

These computer program instructions can also be loaded on a computer or other programmable data processing device to cause a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process such that The instructions provide steps for implementing the functions specified in the flow or blocks of the flowcharts and/or the block or blocks of the block diagrams.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: the present invention can still be Modifications or equivalent replacements are made to the specific embodiments of the present invention, and any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention shall be included within the protection scope of the claims of the present invention.

Claims (10)

1. A method for determining a power outage window period of a main power grid device, characterized in that the method comprises: Step 1: Determine the classification type of the function classification of the power transmission and transformation equipment in the power grid according to the function of the power transmission and transformation equipment; Step 2: collecting basic data corresponding to the classification type according to the classification type; Step 3: Determine the blackout window period of the power transmission and transformation equipment according to the basic data. 2 . The method according to claim 1 , wherein the classification types of the functional classification include at least one of the following: wind power transmission channel equipment, hydropower transmission channel equipment, photovoltaic transmission channel equipment, and nuclear power transmission channel equipment , thermal power transmission channel equipment, cross-regional equipment and equipment that affects the cross-regional access capacity, cross-provincial equipment and equipment that affects the cross-provincial access capacity, cross-sectional equipment and equipment that affects the cross-sectional quota, and feed and supply load equipment. 3 . The method according to claim 1 , wherein when the classification type is wind power transmission channel equipment, the basic data includes at least one of the following: a wind speed trend curve within a preset period and a Area load curve for channel blockage; The step of determining the blackout window period of the power transmission and transformation equipment includes: if there is a load in the blocked area, determining the maximum period of the algebraic difference between the load and the wind speed converted to electricity throughout the year as the blackout window period; if there is no load in the blocked area, then The minimum period of wind power generation is selected as the window period for power outages. 4 . The method according to claim 1 , wherein when the classification type is a hydropower transmission channel device, the basic data comprises: an annual hydropower generation power curve; determining a blackout window of the power transmission and transformation device. 5 . The steps of the period include: determining the dry period of hydropower as the window period for power outages. 5 . The method according to claim 1 , wherein when the classification type is a cross-regional device and a device that has an impact on the cross-region channel capability, the basic data includes: the annual load curve of the sending-end power grid, the receiving The annual load curve of the end power grid and the demand curve of clean energy sent by the sending end power grid; The step of determining the blackout window period of the power transmission and transformation equipment includes: the period when the sending capacity is greater than the sending demand is the blackout window period 1; the minimum period of the clean energy sending demand curve of the sending end grid is the blackout window period 2; the receiving end power grid generator set After the adjustment of the maintenance plan and the power outage plan of the inter-provincial channel, the period that meets the power balance of the receiving end grid is the power outage window period 3; 6. A system for determining a power outage window period for a main power grid device, characterized in that the system comprises: a determining module, configured to determine the classification type of the function classification of the power transmission and transformation equipment in the power grid according to the function of the power transmission and transformation equipment; a collection module, configured to collect basic data corresponding to the classification type according to the classification type; A judgment module, configured to determine the blackout window period of the power transmission and transformation equipment according to the basic data. 7 . The system according to claim 6 , wherein the classification types of the functional classification include at least one of the following: wind power transmission channel equipment, hydropower transmission channel equipment, photovoltaic transmission channel equipment, nuclear power transmission channel equipment , thermal power transmission channel equipment, cross-regional equipment and equipment that affects the cross-regional access capacity, cross-provincial equipment and equipment that affects the cross-provincial access capacity, cross-sectional equipment and equipment that affects the cross-sectional quota, and feed and supply load equipment. 8 . The system according to claim 6 , wherein when the classification type is wind power transmission channel equipment, the basic data includes at least one of the following: a wind speed trend curve within a preset period and a The regional load curve of channel blockage; the step of determining the blackout window period of the power transmission and transformation equipment includes: if there is a load in the blocked area, determining the maximum period of the algebraic difference between the load and the wind speed converted to electricity throughout the year as the blackout window period; If there is no load in the blocked area, the minimum period of wind power generation is selected as the blackout window period. 9 . The system according to claim 6 , wherein when the classification type is a hydropower transmission channel device, the basic data comprises: an annual hydropower generation power curve; the step of determining the power outage window period comprises: converting the hydropower The dry season is determined as the window period for power outages. 10 . The system according to claim 6 , wherein, when the classification type is a cross-regional device and a device that has an impact on the cross-regional channel capability, the basic data includes: the annual load curve of the sending-end power grid, the receiving The annual load curve of the end power grid and the demand curve of clean energy transmission of the transmission end power grid; the steps of determining the blackout window period of the power transmission and transformation equipment include: the period when the transmission capacity is greater than the transmission demand is the outage window period 1; the clean energy of the transmission end power grid is sent out The minimum period of the demand curve is the power outage window period 2; after the adjustment of the receiving-end power grid generator set maintenance plan and the cross-provincial channel power outage plan, the period that meets the power balance of the receiving-end power grid is the power outage window period 3; 3 The overlapping period is determined as the final blackout window period.

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