CN112700032A - Fault prediction system and method for low-voltage direct-current power distribution and utilization system - Google Patents
Fault prediction system and method for low-voltage direct-current power distribution and utilization system Download PDFInfo
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Abstract
本发明公开了一种用于低压直流配用电系统的故障预测系统及方法，属于数字孪生技术领域。本发明系统包括：一种用于低压直流配用电系统的故障预测系统，包括：在线监测单元，根据运行状态进行对低压直流配用电系统进行健康评估；潮流及能耗分析单元，根据潮流分布确定低压直流配用电系统中设备及元部件的能耗信息；电缆绝缘性能预测单元，输出电缆绝缘性能的预测信息；数字孪生建模单元，根据潮流及能耗数据确定低压直流配用电系统的故障状态及异常的预测数据，根据预测数据进行报警。本发明检测时间短，响应速度快，可观测性强，可靠性及安全性性能较高。
The invention discloses a fault prediction system and method for a low-voltage direct current power distribution system and belongs to the technical field of digital twins. The system of the invention includes: a fault prediction system for a low-voltage direct current power distribution system, including: an on-line monitoring unit, which performs health assessment on the low-voltage direct current power distribution system according to the operating state; a power flow and energy consumption analysis unit, according to the power flow The distribution determines the energy consumption information of the equipment and components in the low-voltage DC power distribution system; the cable insulation performance prediction unit outputs the prediction information of the cable insulation performance; the digital twin modeling unit determines the low-voltage DC power distribution and consumption according to the power flow and energy consumption data The fault state of the system and the abnormal forecast data, and alarm according to the forecast data. The invention has short detection time, fast response speed, strong observability, and high reliability and safety performance.
Description
Technical Field
The invention relates to the technical field of digital twinning, in particular to a fault prediction system and method for a low-voltage direct-current distribution power distribution system.
Background
The power grid is an important platform for bearing various users such as various distributed power supplies, alternating current and direct current loads, energy storage and the like, and is a key link for promoting strategic implementation of 'three-type two-network' and solving energy crisis. Compared with an alternating current system, the direct current power distribution and utilization system can conveniently realize the efficient access and flexible management of renewable energy sources, direct current and variable frequency loads, and provide efficient, economic and flexible power supply service according to the user requirements. Compared with an alternating current power distribution and utilization system, the direct current power distribution and utilization system has stronger active control capability, can improve the power supply quality, the absorption capability and the operation efficiency of the distributed power supply, but has the defects of complex structure, high investment, difficulty in clearing fault current and the like, and the technical and economic advantages of the direct current power distribution and utilization system can be reflected only by reasonably constructing a visual model and monitoring the tide distribution and energy consumption analysis of the system in real time.
Therefore, it is especially important to construct a visualization model of the direct current distribution power system according to the access mode and the operation characteristics of the distributed photovoltaic system, the energy storage system, the charging pile, the server and the like.
The digital twin model aiming at the low-voltage direct-current distribution power system has not been researched, related monitoring methods or models exist in other types of power systems, and related research also exists in other fields by adopting a digital twin technology, the running process of the low-voltage direct-current distribution power system is complex, unpredictable unexpected behaviors can be shown in different stages, the behaviors of the complex running process can be reduced to the greatest extent through simulation prediction based on the digital twin model, and unknown negative events are avoided.
The digital twins model is a product of the scientific fusion of industrial mechanism knowledge and data and is a typical representation of an industrial data analysis model, the digital twins refer to virtual digital expression which is constructed in a virtual space and can represent physical entity characteristics, a forming process and behaviors, and the digital twins model has the characteristics of multiple physics, multiple scales, probability and the like, the digital twins model contains all information of physical entities under ideal conditions, is a mirror image of the physical entities in the virtual space, and is used for constructing a low-voltage direct-current distribution power distribution system visualization model containing photovoltaic, energy storage, charging piles and servers and constructing a direct-current system insulation monitoring model of direct-current bus voltage, grounding resistance and device power port voltage based on a digital twins technology, so that the digital twins model has important significance for the safe operation of a low-voltage direct-current distribution power system and the state evaluation of equipment such as cables.
Disclosure of Invention
In order to solve the above problems, the present invention provides a fault prediction system for a low-voltage dc power distribution system, including:
the online monitoring unit acquires electrical information of the low-voltage direct-current power distribution and utilization system, calls historical electrical information of the low-voltage direct-current power distribution and utilization system, compares the electrical information with the historical electrical information, acquires a comparison result, determines the running state of the low-voltage direct-current power distribution and utilization system, and carries out health assessment on the low-voltage direct-current power distribution and utilization system according to the running state;
the power flow and energy consumption analysis unit calls the electrical information acquired by the online monitoring unit, determines the power flow distribution of the low-voltage direct-current power distribution system according to the electrical information, and determines the energy consumption information of equipment and elements in the low-voltage direct-current power distribution system according to the power flow distribution;
the cable insulation performance prediction unit calls the electrical information acquired by the online monitoring unit and the acquired historical electrical information, inputs the electrical information and the historical electrical information into a prediction model for simulation operation, and outputs prediction information of cable insulation performance;
the digital twin modeling unit is used for importing system parameters of the low-voltage direct-current power distribution system, building a digital twin model by using the system parameters, health assessment data, energy consumption information of equipment and components and prediction information of cable insulation performance, importing historical electrical information into the digital twin model, interacting with the electrical information to obtain trend and energy consumption data of the low-voltage direct-current power distribution system, determining fault state and abnormal prediction data of the low-voltage direct-current power distribution system according to the trend and energy consumption data, and giving an alarm according to the prediction data.
Optionally, the electrical information includes: direct current bus voltage, power port voltage, node current, ground resistance data, and residual current value.
Optionally, the apparatus and components comprise: photovoltaic, energy storage, fill electric pile and server.
Optionally, the prediction model is built according to the operation states of the power grid and the cable of the low-voltage direct-current power distribution and utilization system;
the prediction model imports physical characteristics and historical electrical information of the cable, interacts with the electrical information, predicts the change trend of the insulation state of the cable, and determines prediction information of the insulation performance of the cable according to the change trend.
Optionally, when the system is interactive, environment information is collected and input into the prediction model, the environment information comprises temperature and humidity, the temperature is collected by using a temperature sensor, and the humidity is collected by using a humidity sensor.
The invention also provides a fault prediction method for the low-voltage direct-current power distribution system, which comprises the following steps:
acquiring electrical information of the low-voltage direct-current power distribution and utilization system, calling historical electrical information of the low-voltage direct-current power distribution and utilization system, comparing the electrical information with the historical electrical information, acquiring a comparison result, determining the running state of the low-voltage direct-current power distribution and utilization system, and performing health assessment on the low-voltage direct-current power distribution and utilization system according to the running state;
the method comprises the steps of calling electrical information collected by an online monitoring unit, determining the power flow distribution of a low-voltage direct-current power distribution system according to the electrical information, and determining energy consumption information of equipment and components in the low-voltage direct-current power distribution system according to the power flow distribution;
calling the electrical information collected by the online monitoring unit and the acquired historical electrical information, inputting the electrical information and the historical electrical information into a prediction model for simulation operation, and outputting prediction information of the insulation performance of the cable;
the method comprises the steps of establishing a digital twin model by using system parameters, health assessment data, energy consumption information of equipment and components and prediction information of cable insulation performance, importing historical electrical information into the digital twin model, interacting with the electrical information to obtain power flow and energy consumption data of the low-voltage direct-current power distribution system, determining fault states and abnormal prediction data of the low-voltage direct-current power distribution system according to the power flow and energy consumption data, and giving an alarm according to the prediction data.
Optionally, the electrical information includes: direct current bus voltage, power port voltage, node current, ground resistance data, and residual current value.
Optionally, the apparatus and components comprise: photovoltaic, energy storage, fill electric pile and server.
Optionally, the prediction model is built according to the operation states of the power grid and the cable of the low-voltage direct-current power distribution and utilization system;
the prediction model imports physical characteristics and historical electrical information of the cable, interacts with the electrical information, predicts the change trend of the insulation state of the cable, and determines prediction information of the insulation performance of the cable according to the change trend.
Optionally, when the system is interactive, environment information is collected and input into the prediction model, the environment information comprises temperature and humidity, the temperature is collected by using a temperature sensor, and the humidity is collected by using a humidity sensor.
The invention has the advantages of short detection time, high response speed, strong observability, and high reliability and safety performance.
Drawings
Fig. 1 is a structural diagram of a fault prediction system for a low-voltage dc power distribution system according to the present invention;
FIG. 2 is a comparison graph before and after optimization of a typical daily electric energy supply and demand composition of a fault prediction system for a low-voltage DC power distribution system according to the present invention;
fig. 3 is a flowchart of a fault prediction method for a low-voltage dc power distribution system according to the present invention.
Detailed Description
The exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, however, the present invention may be embodied in many different forms and is not limited to the embodiments described herein, which are provided for complete and complete disclosure of the present invention and to fully convey the scope of the present invention to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the accompanying drawings is not intended to be limiting of the invention. In the drawings, the same units/elements are denoted by the same reference numerals.
Unless otherwise defined, terms (including 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. Further, it will be understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense.
The invention provides a fault prediction system for a low-voltage direct-current power distribution system, as shown in fig. 1, comprising:
the online monitoring unit acquires electrical information of the low-voltage direct-current power distribution and utilization system, calls historical electrical information of the low-voltage direct-current power distribution and utilization system, compares the electrical information with the historical electrical information, acquires a comparison result, determines the running state of the low-voltage direct-current power distribution and utilization system, and carries out health assessment on the low-voltage direct-current power distribution and utilization system according to the running state;
the power flow and energy consumption analysis unit calls the electrical information acquired by the online monitoring unit, determines the power flow distribution of the low-voltage direct-current power distribution system according to the electrical information, and determines the energy consumption information of equipment and elements in the low-voltage direct-current power distribution system according to the power flow distribution;
the cable insulation performance prediction unit calls the electrical information acquired by the online monitoring unit and the acquired historical electrical information, inputs the electrical information and the historical electrical information into a prediction model for simulation operation, and outputs prediction information of cable insulation performance;
the digital twin modeling unit is used for importing system parameters of the low-voltage direct-current power distribution system, building a digital twin model by using the system parameters, health assessment data, energy consumption information of equipment and components and prediction information of cable insulation performance, importing historical electrical information into the digital twin model, interacting with the electrical information to obtain trend and energy consumption data of the low-voltage direct-current power distribution system, determining fault state and abnormal prediction data of the low-voltage direct-current power distribution system according to the trend and energy consumption data, and giving an alarm according to the prediction data.
Wherein, the electrical information includes: direct current bus voltage, power port voltage, node current, ground resistance data, and residual current value.
Wherein, equipment and components, include: photovoltaic, energy storage, fill electric pile and server.
The prediction model is built according to the running states of a power grid and a cable of the low-voltage direct-current power distribution and utilization system;
the prediction model imports physical characteristics and historical electrical information of the cable, interacts with the electrical information, predicts the change trend of the insulation state of the cable, and determines prediction information of the insulation performance of the cable according to the change trend.
The method comprises the steps of acquiring environmental information while interacting, inputting the environmental information to a prediction model, wherein the environmental information comprises temperature and humidity, the temperature is acquired by using a temperature sensor, and the humidity is acquired by using a humidity sensor.
The invention is further illustrated by the following examples:
according to the invention, a digital twin system of a low-voltage direct-current distribution system containing photovoltaic, energy storage, charging pile and server is constructed, and through interaction of a low-voltage direct-current distribution electricity physical system and the digital twin system, the full-ring application of a direct-current system insulation monitoring model of direct-current bus voltage, ground resistance and device power port voltage in a full life cycle is realized, the fusion utilization of off-line data, on-line data and simulation data is realized, the trend flow direction and energy consumption analysis of the distribution system is shown, and the trend prediction of equipment such as power grid situation perception, abnormity diagnosis and cables is realized.
The method comprises the following specific steps:
the on-line monitoring unit utilizes a voltage transformer to collect direct current bus voltage, device power port voltage, current sensors to collect current of each node, a ground resistance measuring instrument to collect data of ground resistance, on-line monitoring and analyzing electric quantity change, residual current generated by a low-voltage direct current distribution system is directly related to the ground resistance, which can cause electric shock accidents, ground faults, electric fire hazards, common mode voltage interference and other hazards, the low-voltage direct current distribution system adopts a power electronic device to carry out various electric energy conversion, leakage current exists in distributed capacitance, which not only causes faults such as electromagnetic compatibility and motor bearing damage, but also increases electric shock risks, therefore, various measuring points are utilized to collect equipment data and system data, history and real-time data are combined, and the running state of the low-voltage direct current system is more accurately monitored, the artificial intelligence technology is fully utilized, simulation data and test data are contrasted and analyzed, and a visual technology is utilized to display a detection result.
The power flow and energy consumption analysis unit and the popularization of the direct current distribution and utilization technology accord with the development and application prospect of the application of direct current equipment such as a charging pile, a server and distributed photovoltaic power generation and energy storage, benefit from the advantages of cost, safety, efficiency and the like, the power flow distribution of a power distribution and utilization system is displayed based on the electric quantity information collected by an online monitoring system, the energy consumption conditions of system components of the equipment such as the photovoltaic power generation, the energy storage, the charging pile and the server in operation are analyzed, a power flow and energy consumption monitoring platform is established, a voltage sensor and a current sensor are installed at the same time, the real-time display of power flow data and energy consumption is realized, and the energy consumption characteristic diagram analysis of the direct current equipment such as the.
And the cable insulation performance prediction unit is used for predicting the cable insulation condition by utilizing historical data and real-time data of the digital twin body and considering the influence of the external environment, a temperature sensor and a humidity sensor are installed, and data are input into the twin model.
The digital twin modeling unit imports system parameters from the low-voltage direct-current power distribution and utilization system, constructs a digital twin model according to equipment such as photovoltaic equipment, energy storage equipment, charging piles, servers and cables, imports historical data, interacts with online monitoring data, achieves tide display and energy consumption analysis, predicts the insulation state of the cables through simulation calculation, and gives early warning to fault states and abnormalities, and visual display can be achieved.
The invention has short detection time and high response speed, and can quickly respond to the abnormal state of the system by interacting the real-time data information acquired by the sensing equipment with the historical data.
The invention has strong observability, the tide and the energy consumption of the low-voltage direct-current power distribution and utilization system are displayed on a visual interface, and the running conditions of equipment such as photovoltaic equipment, energy storage equipment, charging piles and the like can be monitored.
The method has the advantages that the reliability and the safety are high, external information such as humidity and temperature is considered for the prediction of the insulation state of the cable, the prediction is carried out based on historical data and on-line measured electric quantity data, the result is more accurate, and the reliability and the safety of the operation of the power grid are improved.
The specific embodiment adopts a 35kV all-in-one station DC distribution and utilization system, the system integrates photovoltaic, energy storage, a data center, a wireless base station and the like, and meanwhile, the photovoltaic, the energy storage, load and the like are collected on a DC bus to form a +/-375V low-voltage DC distribution and utilization system.
The low-voltage direct-current power distribution and utilization system based on the digital twin adopts the design of a dispersed, layered and distributed structure, and is divided into 3 layers: the system comprises a field data acquisition monitoring layer, a communication interface management layer and a system management layer. The functions of decentralized network monitoring and centralized management of the direct-current low-voltage electrical equipment of the power distribution and utilization system are realized.
The system is realized by adopting client, server mode, distributed processing and other technologies on the basis of a large commercial database SQL by taking Windows/Unix as an operating system platform and is compatible with communication protocols such as TCP/IP, IEC60870-5-101 and the like. The measurement, protection, control and monitoring are integrated into one object for each grid element (such as a direct current bus, a power port bus, each direct current power generation electric device, and the like), and the system is connected through a bus.
The device is arranged on equipment such as a photovoltaic device, an energy storage device, a charging pile and a server, and is used for collecting environmental temperature and humidity data, various interfaces (RS-485, Ethernet, WiFi and the like) are provided for collecting equipment data and online data, any open equipment can be incorporated into a monitoring network, the Ethernet is used as a backbone network and has remote management capability, the field equipment accesses the collected data into an upper computer monitoring system through a field bus, and meanwhile, the upper computer monitoring system controls and modifies parameters of bottom equipment through network communication based on a digital twin system, so that bidirectional communication and resource sharing are realized.
The background system monitoring management adopts a modularized design idea, each sub-module has independence, different electrical equipment is independently provided with corresponding data acquisition devices, the operation of other modules is not influenced when any device breaks down, and each function management module, such as tidal current monitoring, energy consumption analysis, alarm query, dynamic report forms, load management and the like can independently operate on different workstations and simultaneously operate on one host, all parts are not influenced mutually, and the reliability of the system is improved by the modularized design idea.
The system management layer comprises a database server and a monitoring man-machine interaction interface, provides a visual display interface, and provides various monitoring quantities such as electric energy classification management, monitoring voltage/current, active/reactive electric energy and the like.
The visual interface adopts a full-simplified Chinese interface, and the data sharing performance is good. The picture displays the running state and various measured values of the field equipment in real time, the functions of remote signaling, remote measurement, remote control, remote regulation and the like are completed based on the digital twin system, dynamic network topology analysis is realized, electrified and power-off areas are visually displayed in different colors, and the tide, the energy consumption and the insulation state of the power distribution and utilization system are visually displayed.
The system can display a real-time curve and a historical curve of measured values, monitor the variation trend of certain equipment operation parameters and environmental parameters, count and analyze the curves, such as the maximum value, the minimum value, the average value, the time of occurrence of the maximum value and the minimum value and the like, and can accurately predict the cable insulation trend as shown in figure 2.
The invention also provides a fault prediction method for a low-voltage direct-current distribution system, as shown in fig. 3, including:
acquiring electrical information of the low-voltage direct-current power distribution and utilization system, calling historical electrical information of the low-voltage direct-current power distribution and utilization system, comparing the electrical information with the historical electrical information, acquiring a comparison result, determining the running state of the low-voltage direct-current power distribution and utilization system, and performing health assessment on the low-voltage direct-current power distribution and utilization system according to the running state;
the method comprises the steps of calling electrical information collected by an online monitoring unit, determining the power flow distribution of a low-voltage direct-current power distribution system according to the electrical information, and determining energy consumption information of equipment and components in the low-voltage direct-current power distribution system according to the power flow distribution;
calling the electrical information collected by the online monitoring unit and the acquired historical electrical information, inputting the electrical information and the historical electrical information into a prediction model for simulation operation, and outputting prediction information of the insulation performance of the cable;
the method comprises the steps of establishing a digital twin model by using system parameters, health assessment data, energy consumption information of equipment and components and prediction information of cable insulation performance, importing historical electrical information into the digital twin model, interacting with the electrical information to obtain power flow and energy consumption data of the low-voltage direct-current power distribution system, determining fault states and abnormal prediction data of the low-voltage direct-current power distribution system according to the power flow and energy consumption data, and giving an alarm according to the prediction data.
Optionally, the electrical information includes: direct current bus voltage, power port voltage, node current, ground resistance data, and residual current value.
Optionally, the apparatus and components comprise: photovoltaic, energy storage, fill electric pile and server.
Optionally, the prediction model is built according to the operation states of the power grid and the cable of the low-voltage direct-current power distribution and utilization system;
the prediction model imports physical characteristics and historical electrical information of the cable, interacts with the electrical information, predicts the change trend of the insulation state of the cable, and determines prediction information of the insulation performance of the cable according to the change trend.
Optionally, when the system is interactive, environment information is collected and input into the prediction model, the environment information comprises temperature and humidity, the temperature is collected by using a temperature sensor, and the humidity is collected by using a humidity sensor.
The invention has the advantages of short detection time, high response speed, strong observability, and high reliability and safety performance.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or 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, and the like) having computer-usable program code embodied therein. The scheme in the embodiment of the application can be implemented by adopting various computer languages, such as object-oriented programming language Java and transliterated scripting language JavaScript.
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 application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While the preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.
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