基于脆弱性评估的微电网群优化重构策略

An Optimal Reconfiguration Strategy of Microgrid Cluster Based on Vulnerability Assessment

含有大量新能源节点的微电网群并网,会造成系统运行稳定性下降。为此,文章提出一种基于脆弱性评估的微电网群优化重构策略。其首先利用微电网群多工况仿真运行数据,以同时段系统各节点可测变量为基础构建运行状态数据矩阵,并将其转换成大量含故障信息的图片,用以训练和校验基于胶囊神经网络的故障识别与分类网络;接着,分析多种类故障对微电网群整体运行稳定性的影响,构建微电网群系统运行脆弱性评估模型,并基于故障类型辨识结果对微电网运行状态损害程度进行脆弱性评估;最后,根据脆弱性评估结果对微电网群进行网络优化重构,对于重构后的微电网,采用多智能体一致性控制策略进行系统的功率优化分配。仿真结果显示,采用该策略后,5种典型故障的识别准确率可达98.44%,这表明基于脆弱性评估的网络重构系统可有效隔离故障,并实现功率分配的再优化。

The grid-connection of a microgrid group containing of a large number of new energy nodes will cause a decrease in the stability of system operation.This paper presents an optimal reconfiguration strategy of micro-grid cluster based on vulnerability assessment.Firstly,using the simulation operation data of microgrid group under multiple working conditions,the operation state data matrix is constructed based on the measurable variables of each node of the synchronous system,and it is converted into a large number of pictures containing fault information,which is used to train and check the fault identification and classification network based on capsule neural network.On this basis,the influence of various faults on the overall operational stability of a microgrid cluster is analyzed,and the operational vulnerability assessment model of microgrid cluster system is constructed,and the vulnerability assessment of the operational state damage degree of microgrid is carried out based on the fault type identification results.Finally,according to the vulnerability assessment results,the network optimization and reconfiguration of microgrid group are carried out,and for the reconstructed microgrid,the multi-agent consistency control strategy is adopted to optimize the power distribution of the system.Simulation results show that the identification accuracy of five typical faults can reach 98.44%,and the network reconfiguration system based on vulnerability assessment can effectively isolate faults and realize the reoptimization of power distribution.