Distribution network planning multi-target network frame analysis method

Abstract

The invention relates to the technical field of power distribution networks, in particular to a distribution network planning multi-target network frame analysis method, which comprises the following steps of S1, acquiring related data information of a power distribution network and performing analysis processing; s2, scene simulation is carried out on an existing power distribution network frame system according to the obtained related data information of the power distribution network, and a scene simulation result is evaluated and analyzed; and S3, analyzing and comparing an existing power distribution network frame with a simulation analysis result, and combining various factors required by operation of a power grid system. When the power distribution network is planned and analyzed, scene simulation is carried out on planning schemes, then the performance and effect of different planning schemes are evaluated, the selection capability is higher, the selection time of a user can be shortened, the most appropriate scheme can be selected, the schemes can be properly adjusted according to the requirements and opinions of the user, and the user experience is improved. According to optimization suggestions and improvement measures provided by the user, the user is helped to further perfect and optimize the power distribution network planning scheme.

Description

Technical Field

[0001] The invention relates to the technical field of distribution networks, and in particular to a multi-objective grid analysis method for distribution network planning. Background Art

[0002] The urban distribution network is huge but relatively weak. Some substations in the central urban area cannot be built, and some rural areas also have weak power grids such as long power supply radius. When the load peak comes, the local power grid has reached the limit of what it can bear. At the same time, the peak power generation period is also faced with serious wind, solar and water abandonment, and causes terminal voltage fluctuations to exceed the standard. Through planning and division of the distribution network, high-level distribution network planning work is carried out to improve corporate benefits and reduce inefficient and invalid investment; adapt to the gradual improvement of users' requirements for power grid reliability, reduce the difficulty of power grid operation and maintenance, increase the distribution network automation coverage rate, meet the needs of distributed power generation grid connection and diversified load access, and conform to the direction of power system reform.

[0003] However, the existing distribution network planning technology has its shortcomings. The planning and analysis methods are not intelligent enough, the response speed is not fast enough, and there is a lack of functions for intelligent analysis and planning of data. These need to be improved. Summary of the invention

[0004] The purpose of the present invention is to provide a multi-objective grid analysis method for distribution network planning to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solution: a multi-objective grid analysis method for distribution network planning, comprising the following steps: S1: Obtain distribution network related data information and analyze and process it; S2: Conduct scenario simulation on the existing distribution network system based on the acquired distribution network related data information, and evaluate and analyze the scenario simulation results; S3: Analyze and compare the existing distribution network with the simulation analysis results, combine various factors required for the operation of the power grid system, selectively optimize and adjust the distribution network system according to the actual situation in the region, and plan multiple target plans; S4: Perform data analysis on the solutions obtained in the previous step, analyze the advantages and disadvantages of the solutions, and select the solutions; S5: Monitor the distribution network operation system in real time and make timely adjustments; S6: Obtain the needs and real-time feedback of distribution network users, and incorporate the obtained user opinions into the adjustment plan.

[0006] Preferably, the distribution network related data described in S1 include temperature, pressure, humidity and vibration data of equipment used in the distribution network detected by sensors, as well as information on the current status of the distribution network and recent social and economic development trends, data on problems existing in the power grid in the region, and power consumption related data of the distribution network. These information are converted into electrical signals and digital signals, and the data are analyzed and processed by the analysis and processing module.

[0007] Preferably, the analysis and processing module analyzes the data information specifically as follows: the equipment analysis needs to determine whether the equipment is in normal working condition, based on the collected data, run a standardized data processing method to identify possible fault types and causes, and generate corresponding alarms and reports. The standardized data processing formula is: K= in, is the observed value, is the average value, is the standard deviation; For the remaining data, field survey method and multi-data comparison method are used to collect and analyze data to ensure the accuracy of the analysis data and facilitate the subsequent on-site power grid planning and layout.

[0008] Preferably, when performing scenario simulation on the distribution grid system in S2, it is necessary to simulate the power load of the grid, the operating status of the equipment, possible fault conditions, the quality of the supplied power, renewable energy and emergency response conditions; Simulate power load: simulate the working conditions of the power grid under different load levels and load types, including normal load, peak load, valley load and dynamic load change process; Simulate the operating status of equipment: simulate the operating status of equipment in the power grid, including the switch status, operating parameters and load distribution of transformers, switchgear and protection equipment; Simulate possible fault conditions: Simulate fault conditions in the power grid, including line short circuits, equipment failures, and load imbalances, to evaluate the grid's fault response capabilities and recovery strategies; Simulate the quality of supplied power: Simulate power quality issues in the power grid, including fluctuations, harmonic content, and current imbalance, to assess the power quality status of the grid and improvement measures; Simulate renewable energy: simulate the power generation and access mode of renewable energy power generation equipment, and evaluate the impact of renewable energy on power grid operation and utilization effect; Simulate emergency response situations: simulate the response strategies and countermeasures of power grid emergencies, and evaluate the emergency response capabilities of the power grid and the effectiveness of emergency plans.

[0009] Preferably, the distribution network structure optimization selects the optimal grid structure direction as the entry point, and optimizes the distribution network grid structure through a particle swarm algorithm; The optimization target planning includes: minimizing cost, maximizing reliability, optimizing power quality and minimizing environmental impact; allowing users to set constraints for distribution network planning; providing optimization algorithms to optimize the target indicators of distribution network planning under the premise of meeting the constraints; supporting the solution of multi-objective optimization problems, allowing users to consider multiple objectives at the same time, and providing multi-objective optimization algorithms for solving them, using a multi-objective particle swarm algorithm.

[0010] Preferably, the analysis of the advantages and disadvantages of the schemes in S4 is performed by evaluating various indicators and evaluation criteria of the distribution network planning schemes, including cost, reliability, efficiency and sustainability, and also requires the user to input relevant data of various planning schemes, including grid topology, equipment parameters, load information and renewable energy access conditions, so as to analyze and evaluate the grid performance, power quality and power supply reliability.

[0011] Preferably, the distribution network operation system is monitored in real time, and various parameters and operation data of the distribution network need to be collected in real time through various sensors, including voltage, current, frequency, power factor, load condition, equipment status, power quality and fault information, and the collected real-time data are processed and analyzed to identify changes and abnormal conditions in the operation status of the power grid, and provide corresponding diagnosis and processing suggestions to ensure the stable operation of the power grid; Set corresponding alarm and early warning thresholds to promptly detect abnormal conditions in power grid operation and provide notifications and reminders through alarms. The distribution network system also needs to support remote monitoring and operation functions so that operation and maintenance personnel can monitor, adjust and control the distribution network through the network anytime and anywhere, thereby improving operation and maintenance efficiency and response speed. The distribution network system also needs to automatically adjust and control power grid equipment based on real-time monitoring data and preset control strategies.

[0012] Preferably, by setting up an opinion acquisition module, it is allowed to evaluate and analyze the operation of the distribution network, identify potential problems and improvement space, and put forward corresponding improvement measures and optimization suggestions. According to the evaluation results and user needs, the best distribution network planning scheme is determined, and decision support tools are provided to help users make reasonable optimization scheme choices.

[0013] Compared with the prior art, the present invention has the following beneficial effects: The present invention proposes a multi-objective grid analysis method for distribution network planning. When planning and analyzing the distribution network, the method performs scenario simulation on the planning scheme, and then evaluates the performance and effects of different planning schemes. The method has stronger selection ability, can reduce the user's selection time and select the most appropriate scheme. Moreover, the invention can make appropriate adjustments to the scheme according to the user's needs and opinions, and provide optimization suggestions and improvement measures according to the user, so as to help the user further improve and optimize the distribution network planning scheme. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a schematic diagram of the process structure of the present invention. DETAILED DESCRIPTION

[0015] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0016] See also Figure 1 The present invention provides a technical solution: a multi-objective grid analysis method for distribution network planning, comprising the following steps: S1: Obtain distribution network related data information and analyze and process it; S2: Conduct scenario simulation on the existing distribution network system based on the acquired distribution network related data information, and evaluate and analyze the scenario simulation results; S3: Analyze and compare the existing distribution network with the simulation analysis results, combine various factors required for the operation of the power grid system, selectively optimize and adjust the distribution network system according to the actual situation in the region, and plan multiple target plans; S4: Perform data analysis on the solutions obtained in the previous step, analyze the advantages and disadvantages of the solutions, and select the solutions; S5: Monitor the distribution network operation system in real time and make timely adjustments; S6: Obtain the needs and real-time feedback of distribution network users, and incorporate the obtained user opinions into the adjustment plan.

[0017] The distribution network related data described in S1 include the temperature, pressure, humidity and vibration data of the equipment used in the distribution network detected by sensors, as well as information on the current status of the distribution network and recent social and economic development trends, data on problems existing in the regional power grid, and power consumption related data of the distribution network. These information are converted into electrical signals and digital signals, and analyzed and processed by the analysis and processing module.

[0018] The analysis and processing module analyzes the data information specifically as follows: Equipment analysis requires determining whether the equipment is operating normally. Based on the collected data, a standardized data processing method is run to identify possible fault types and causes, and to generate corresponding alarms and reports. The standardized data processing formula is: K= in, is the observed value, is the average value, is the standard deviation; For the remaining data, field survey method and multi-data comparison method are used to collect and analyze data to ensure the accuracy of the analysis data and facilitate the subsequent on-site power grid planning and layout.

[0019] When simulating the distribution network system in S2, the scenario simulation module is used to simulate different distribution network scenarios, and then evaluate the performance and effect of different planning schemes. It is necessary to simulate the power load of the power grid, the operating status of the equipment, possible faults, the quality of the supplied power, renewable energy and emergency response; Simulate power load: simulate the working conditions of the power grid under different load levels and load types, including normal load, peak load, valley load and dynamic load change process; Simulate the operating status of equipment: simulate the operating status of equipment in the power grid, including the switch status, operating parameters and load distribution of transformers, switchgear and protection equipment; Simulate possible fault conditions: Simulate fault conditions in the power grid, including line short circuits, equipment failures, and load imbalances, to evaluate the grid's fault response capabilities and recovery strategies; Simulate the quality of supplied power: Simulate power quality issues in the power grid, including fluctuations, harmonic content, and current imbalance, to assess the power quality status of the grid and improvement measures; Simulate renewable energy: simulate the power generation and access mode of renewable energy power generation equipment, and evaluate the impact of renewable energy on power grid operation and utilization effect; Simulate emergency response situations: simulate the response strategies and countermeasures of power grid emergencies, and evaluate the emergency response capabilities of the power grid and the effectiveness of emergency plans.

[0020] The distribution network structure optimization selects the optimal grid structure direction as the entry point, optimizes the distribution network grid structure through the particle swarm algorithm, solves the problems of insufficient substation distribution and weak main grid structure, and further coordinates the transmission of the power grid; The optimization target planning includes: minimizing cost, maximizing reliability, optimizing power quality and minimizing environmental impact; allowing users to set constraints for distribution network planning; providing optimization algorithms to optimize the target indicators of distribution network planning under the premise of meeting the constraints; supporting the solution of multi-objective optimization problems, allowing users to consider multiple objectives at the same time, and providing multi-objective optimization algorithms for solving them, using a multi-objective particle swarm algorithm.

[0021] In S4, the advantages and disadvantages of the schemes are analyzed by evaluating the various indicators and evaluation criteria of the distribution network planning schemes, including cost, reliability, efficiency and sustainability. It also allows users to input relevant data of various planning schemes, including grid topology, equipment parameters, load information and renewable energy access conditions, and analyzes and evaluates the grid performance, power quality and power supply reliability.

[0022] Real-time monitoring of the distribution network operation system requires real-time collection of various parameters and operation data of the distribution network through various sensors, including voltage, current, frequency, power factor, load conditions, equipment status, power quality and fault information, processing and analysis of the collected real-time data, identification of changes and abnormal conditions in the operation status of the power grid, and provision of corresponding diagnosis and processing suggestions to ensure the stable operation of the power grid; Set corresponding alarm and early warning thresholds to promptly detect abnormal conditions in the operation of the power grid, and notify and remind through alarms. For example, the power load situation in a certain section of the line is monitored in real time, and the real-time monitoring data will be compared with the power load setting value of this section of the line. If the real-time monitored power load value is within the set value range, it is judged to be operating normally. If the real-time monitored power load value exceeds the set value range, it is judged to be an abnormal situation, and the monitoring system of the distribution network system will issue a corresponding alarm. The distribution network system also needs to support remote monitoring and operation functions, so that operation and maintenance personnel can monitor, adjust and control the distribution network through the network anytime and anywhere, improve operation and maintenance efficiency and response speed, and the distribution network system also needs to automatically adjust and control the power grid equipment according to the real-time monitoring data and the preset control strategy. For example, the power load value of a certain section of the line has a large data gap between summer and autumn, and the system will make corresponding changes to the set alarm and early warning thresholds.

[0023] By setting up an opinion acquisition module, it is possible to evaluate and analyze the operation of the distribution network, identify potential problems and room for improvement, and propose corresponding improvement measures and optimization suggestions. Based on the evaluation results and user needs, the best distribution network planning scheme is determined, and decision support tools are provided to help users make reasonable optimization scheme choices.

[0024] In actual planning and analysis of the distribution network, by simulating the planning schemes in different scenarios, the performance and effects of different planning schemes can be evaluated, and the selection ability can be stronger. This can reduce the user's selection time and select the most appropriate scheme. In addition, the invention can make appropriate adjustments to the scheme according to the user's needs and opinions, and provide optimization suggestions and improvement measures to the user, helping the user to further improve and optimize the distribution network planning scheme.

[0025] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A multi-objective grid analysis method for distribution network planning, characterized by: The following steps are included: S1: Obtain distribution network related data information and analyze and process it; S2: Conduct scenario simulation on the existing distribution network system based on the acquired distribution network related data information, and evaluate and analyze the scenario simulation results; S3: Analyze and compare the existing distribution network with the simulation analysis results, combine various factors required for the operation of the power grid system, selectively optimize and adjust the distribution network system according to the actual situation in the region, and plan multiple target plans; S4: Perform data analysis on the solutions obtained in the previous step, analyze the advantages and disadvantages of the solutions, and select the solutions; S5: Monitor the distribution network operation system in real time and make timely adjustments; S6: Obtain the needs and real-time feedback of distribution network users, and incorporate the obtained user opinions into the adjustment plan.

2. A multi-objective grid analysis method for distribution network planning according to claim 1, characterized in that: The distribution network related data described in S1 include the temperature, pressure, humidity and vibration data of the equipment used in the distribution network detected by sensors, as well as information on the current status of the distribution network and recent social and economic development trends, data on problems existing in the regional power grid, and power consumption related data of the distribution network. These information are converted into electrical signals and digital signals, and analyzed and processed by the analysis and processing module.

3. A distribution network planning multi-objective grid analysis method according to claim 2, characterized in that: The analysis and processing module analyzes the data information specifically as follows: the equipment analysis needs to determine whether the equipment is working normally, based on the collected data, run a standardized data processing method to identify possible fault types and causes, and generate corresponding alarms and reports. The standardized data processing formula is: K= in, is the observed value, is the average value, is the standard deviation; For the remaining data, field survey method and multi-data comparison method are used to collect and analyze data to ensure the accuracy of the analysis data and facilitate the subsequent on-site power grid planning and layout.

4. A multi-objective grid analysis method for distribution network planning according to claim 1, characterized in that: When simulating the distribution network system in S2, the scenario simulation module is used to simulate different distribution network scenarios, and then evaluate the performance and effect of different planning schemes. It is necessary to simulate the power load of the power grid, the operating status of the equipment, possible faults, the quality of the supplied power, renewable energy and emergency response; Simulate power load: simulate the working conditions of the power grid under different load levels and load types, including normal load, peak load, valley load and dynamic load change process; Simulate the operating status of equipment: simulate the operating status of equipment in the power grid, including the switch status, operating parameters and load distribution of transformers, switchgear and protection equipment; Simulate possible fault conditions: Simulate fault conditions in the power grid, including line short circuits, equipment failures, and load imbalances, to evaluate the grid's fault response capabilities and recovery strategies; Simulate the quality of supplied power: Simulate power quality issues in the power grid, including fluctuations, harmonic content, and current imbalance, to assess the power quality status of the grid and improvement measures; Simulate renewable energy: simulate the power generation and access mode of renewable energy power generation equipment, and evaluate the impact of renewable energy on power grid operation and utilization effect; Simulate emergency response situations: simulate the response strategies and countermeasures of power grid emergencies, and evaluate the emergency response capabilities of the power grid and the effectiveness of emergency plans.

5. A multi-objective grid analysis method for distribution network planning according to claim 1, characterized in that: The distribution network structure optimization selects the optimal grid structure direction as the entry point, optimizes the distribution network grid structure through the particle swarm algorithm, solves the problems of insufficient substation distribution and weak main grid structure, and further coordinates the transmission of the power grid; The optimization target planning includes: minimizing cost, maximizing reliability, optimizing power quality and minimizing environmental impact; allowing users to set constraints for distribution network planning; providing optimization algorithms to optimize the target indicators of distribution network planning under the premise of meeting the constraints; supporting the solution of multi-objective optimization problems, allowing users to consider multiple objectives at the same time, and providing multi-objective optimization algorithms for solving them, using a multi-objective particle swarm algorithm.

6. A multi-objective grid analysis method for distribution network planning according to claim 1, characterized in that: In S4, the advantages and disadvantages of the schemes are analyzed by evaluating the various indicators and evaluation criteria of the distribution network planning schemes, including cost, reliability, efficiency and sustainability. It also allows users to input relevant data of various planning schemes, including grid topology, equipment parameters, load information and renewable energy access conditions, and analyzes and evaluates the grid performance, power quality and power supply reliability.

7. A multi-objective grid analysis method for distribution network planning according to claim 1, characterized in that: Real-time monitoring of the distribution network operation system requires real-time collection of various parameters and operation data of the distribution network through various sensors, including voltage, current, frequency, power factor, load conditions, equipment status, power quality and fault information, processing and analysis of the collected real-time data, identification of changes and abnormal conditions in the operation status of the power grid, and provision of corresponding diagnosis and processing suggestions to ensure the stable operation of the power grid; Set corresponding alarm and early warning thresholds to promptly detect abnormal conditions in the operation of the power grid, and notify and remind through alarms. For example, the power load situation in a certain section of the line is monitored in real time, and the real-time monitoring data will be compared with the power load setting value of this section of the line. If the real-time monitored power load value is within the set value range, it is judged to be operating normally. If the real-time monitored power load value exceeds the set value range, it is judged to be an abnormal situation, and the monitoring system of the distribution network system will issue a corresponding alarm. The distribution network system also needs to support remote monitoring and operation functions, so that operation and maintenance personnel can monitor, adjust and control the distribution network through the network anytime and anywhere, improve operation and maintenance efficiency and response speed, and the distribution network system also needs to automatically adjust and control the power grid equipment according to the real-time monitoring data and the preset control strategy. For example, the power load value of a certain section of the line has a large data gap between summer and autumn, and the system will make corresponding changes to the set alarm and early warning thresholds.

8. A multi-objective grid analysis method for distribution network planning according to claim 1, characterized in that: By setting up an opinion acquisition module, it is possible to evaluate and analyze the operation of the distribution network, identify potential problems and room for improvement, and propose corresponding improvement measures and optimization suggestions. Based on the evaluation results and user needs, the best distribution network planning scheme is determined, and decision support tools are provided to help users make reasonable optimization scheme choices.

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