Research On Weak Link Identification And Optimal Operation For Active Distribution Network Based On Differentiated Demand Of Users

Large scale distributed power sources and new loads are randomly connected.The power supply structure and power flow characteristics of the distribution network have changed.Traditional passive control methods are difficult to meet the differentiated electricity consumption needs of distribution network users.Active distribution networks with active control and management capabilities are gradually becoming the development direction of future distribution networks.A large number of distributed energy and intelligent measurement terminals have been introduced into the active distribution network.Active distribution networks can monitor the distribution network in real-time and achieve flexible operation and scheduling by controlling adjustable resources.However,the increased interaction between sources and loads makes the operating environment of active distribution networks more complex.The original power grid operation regulation method is difficult to meet the electricity demand of users in complex operating environments.An optimized operation plan suitable for active distribution networks needs to be proposed.Fully leveraging flexible regulation capabilities is an effective means to achieve optimal operation of active distribution networks,but it also puts higher demands on the ability to identify poor states in the power system.The original method for identifying weak links did not consider the operational characteristics of active distribution networks,making it difficult to leverage the advantages of targeted and flexible regulation of active distribution networks.The complex operational characteristics and flexible regulation methods of active distribution networks bring a large amount of data processing needs.The original method of analyzing electricity data cannot balance the requirements of speed and accuracy.Classifying users and uniformly planning for the same type of users is an effective way to reduce the difficulty of data processing.Therefore,classify and analyze the electricity demand of users.On this basis,use the terminal to collect data and identify weak links in the system in real time.Conduct targeted regulation to fully utilize the flexible regulation ability of the active distribution network.Based on the analysis results,carry out active distribution network optimization planning.Realize active optimization of distribution network operation.This article focuses on the reliable operation of active distribution networks.Based on the analysis of user differentiated electricity demand,identify weak links in the power system.Propose an active distribution network optimization operation plan.The main contents of this paper are as follows:(1)The analysis method of user differentiated power demand is proposed.Process the collected data.Analyze the power demand of users based on user information.Analyze the power consumption characteristics of users based on the load curve.Users are classified by clustering method.Data utilization efficiency is improved during power demand analysis.Considering the weather sensitive factors of residential power consumption,the power consumption data on special days are screened from the residential power consumption data.The calculation method of user electricity sensitivity is proposed.From the perspective of the change of electricity consumption characteristics,the electricity consumption behavior habits of users are analyzed.Users are classified in consideration of comprehensive power consumption sensitivity.Analyze the power consumption characteristics of regional users.Based on the improved support vector machine(SVM)algorithm,a load forecasting method considering the power consumption sensitivity of users is proposed.Forecast the electricity demand of users.(2)The weak link identification method considering differentiated power demand is proposed.Based on the application requirements,the weak link identification is divided into real-time weak link identification based on intelligent terminal data acquisition and prediction weak link identification based on source load model.Considering the configuration of intelligent terminals and the power consumption characteristics of users,the vulnerability index is established.Consider the data characteristics of different intelligent terminals.Combined with the requirements of active distribution network for data credibility and accuracy,the terminal error is analyzed and the data weight is set.Combining the least square method with the sequential covariance crossover method of multi terminal acquisition,a method of terminal acquisition data fusion and state estimation is proposed.Identify real-time weak links of active distribution network.A distributed photovoltaic and load probability model is established considering user and environmental factors.Based on Cornish Fisher series and semi invariant method,the node voltage and line current out of limit probability of distribution network under different conditions are calculated.The weak link identification method of active distribution network prediction is proposed.Analyze the weak links of distribution network under different conditions.(3)The optimal operation scheme of active distribution network based on differentiated demand analysis is proposed.Consider the differences of operation status indicators at different time and space scales.The combination weight determination method is used to determine the index weight.Establish an operation status evaluation system considering different requirements.The optimal regulation mode is determined through the operation status evaluation,weak link identification and user analysis results.Targeted regulation to achieve optimal and active distribution network operation.On the basis of the evaluation results of the running state,an improved genetic algorithm is proposed combined with the evaluation results.The active distribution network topology and photovoltaic access capacity are optimized at two levels.Improve power supply reliability while ensuring economy.Realize active distribution network operation.