基于图卷积和双向长短期记忆网络的受端电力系统暂态电压稳定评估  

Transient Voltage Stability Assessment of Receiving-end Power System Based on Graph Convolution and Bidirectional Long/Short-term Memory Networks

作　　者：姜涛[1] 董雨 王长江[1] 陈厚合 李国庆[1] JIANG Tao;DONG Yu;WANG Changjiang;CHEN Houhe;LI Guoqing(Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology(Northeast Electric Power University),Ministry of Education,Jilin 132012,Jilin Province,China)

机构地区：[1]现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学),吉林省吉林市132012

出　　处：《电网技术》2023年第12期4937-4947,共11页Power System Technology

基　　金：国家自然科学基金项目(52377083);国家自然科学基金委-国家电网公司智能电网联合基金项目(U2066208);东北电力大学博士科研启动基金资助项目(BSJXM-2022104)。

摘　　要：为快速、准确评估受端电力系统故障后暂态电压稳定状态并定位电压失稳节点/区域,提出一种基于图卷积网络(graph convolutional network,GCN)和双向长短期记忆网络(bidirectional long/short-term memory network,Bi LSTM)的受端电力系统暂态电压稳定评估方法。首先,基于暂态电压时序响应特性及空间分布规律,以及电力系统拓扑连接关系和各节点电气量测数据,构建表征电力系统运行状态的输入特征矩阵,以有效计及暂态电压的时空演变规律;然后,搭建由GCN和BiLSTM相结合的深度神经网络,提取具有最大相关性的暂态电压时空特征信息,进而建立时空特征与暂态电压稳定状态间的映射关系,实现暂态电压失稳节点/区域的精确定位;最后,通过修改后的IEEE-39节点测试系统和某实际电网系统算例对所提方法进行分析、验证,结果验证了所提暂态电压稳定评估方法的准确性和有效性。In order to quickly and accurately evaluate the transient voltage stability after the fault of the receiving-end power system and locate the voltage instability nodes/regions,a transient voltage stability evaluation method of the receiving-end power system based on the graph convolution network(GCN)and the bidirectional long/short-term memory network(BiLSTM)is proposed.Firstly,based on the time series response characteristics and spatial distribution law of the transient voltage,the topological connection relationships of the power systems and the electrical measurement data of each of the nodes are considered,and the input characteristic matrix representing the operating state of power system is constructed to effectively adhere to the temporal and spatial evolution law of transient voltage.Then,a deep neural network combining the GCN and the BiLSTM is developed to extract the spatio-temporal features of transient voltage with the greatest correlation.Then the mapping relationship between the spatio-temporal features and the transient voltage stability states is established to realize the precise positioning of the transient voltage instability nodes/regions.Finally,the proposed method is analyzed and verified by the modified IEEE-39 node test system and an actual power grid system.The results validate the accuracy and effectiveness of the proposed transient voltage stability assessment method.

关 键 词：受端电力系统 暂态电压稳定 图卷积网络 双向长短期记忆网络 电压失稳节点/区域 

分 类 号：TM721[电气工程—电力系统及自动化]