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作 者:季佳伸 吴俊勇[1] 王彦博 史法顺 李宝琴 JI Jiashen;WU Junyong;WANG Yanbo;SHI Fashun;LI Baoqin(School of Electrical Engineering,Beijing Jiaotong University,Haidian District,Beijing 100044,China)
机构地区:[1]北京交通大学电气工程学院,北京市海淀区100044
出 处:《电网技术》2022年第7期2500-2509,共10页Power System Technology
基 金:国家重点研发计划资助项目(2018YFB0904500);国家电网有限公司科技项目(SGLNDK00KJJS1800236)。
摘 要:随着人工智能技术的发展,基于数据驱动的深度学习方法可兼顾在线评估的快速性与准确性。通过分析电力系统的电压时序信息,构建暂态电压稳定裕度指标。基于实时获取的广域测量信息,选择代表潮流水平的稳态信息、代表故障冲击程度的故障瞬间信息以及代表故障持续进展的滑动信息构建半固定半滑动的异构样本集,基于深度残差网络构建暂态电压稳定评估模型,分别输出系统的暂态电压稳定评估结果、各监测母线的暂态电压稳定评估结果以及电压稳定裕度信息,为在线监控提供指导。在计及高压直流输电和风电接入影响的改进中国电科院36节点系统进行仿真验证,结果表明,该方法无需接收保护设备的故障切除时间信息,可在故障切除时刻之前给出高精度的评估结果,具有较高的实时性和准确性。With the development of artificial intelligence technology,the data-driven deep learning method takes into account the rapidity and accuracy of online evaluation.By analyzing the voltage sequence information of the power system,the transient voltage stability margin index is constructed.Based on the real-time wide area measurement information,the steady-state information representing the power flow level,the fault instantaneous information representing the fault impact degree,and the sliding information representing the continuous progress of the fault are selected to build a semi-fixed and semi-sliding heterogeneous sample set.Then a transient voltage stability assessment model is built based on the deep residual network.Both of them output the transient voltage stability assessment results of the system respectively.The transient voltage stability assessment results and the voltage stability margin information of each monitored bus provide a guidance for the online monitoring.Simulation verification is carried out in the modified CEPRI36 node system considering the impact of HVDC transmission and wind power.The simulation results show that this method has high real-time and accuracy by giving the high-precision evaluation results before the fault removal time without receiving the fault removal time information of the protection equipment.
分 类 号:TM721[电气工程—电力系统及自动化]
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