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基于可观性和可计算性的配电网关键量测识别方法 被引量:3

Identification of Critical Measurement for Distribution Network Based on Observability and Computability
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摘要 随着现代配电系统中分布式能源和柔性负荷的广泛集成,引起运行特性及拓扑均存在动态变化,因此亟需提升系统可观性。针对量测冗余度较低时传统可观性分析方法对配电网量测部署的指导作用不足的问题,提出基于可观性和可计算性的配电网关键量测识别方法。首先,使用数值可观性分析方法计算存量量测下的可观岛划分情况和可观性指标;然后,提出基于节点信息熵的可计算性评价指标,通过执行蒙特卡洛模拟得到可计算性评价指标;最后,基于可观性、可计算性指标提出配电网关键量测识别方法,并给出最优量测配置方案。案例分析表明,所提方法具有较高有效性和可行性,可为后续研究提供有力支撑。 With the extensive integration of distributed energy sources and flexible loads in modern distribution systems,dynamic changes in operational characteristics and topology are induced,and there is an urgent need to improve system observability.Aiming at the problem that the traditional observability analysis method is insufficient to guide the deployment of distribution network measurements when the measurement redundancy is low,the paper proposes a method for identifying critical measurements in the distribution networks based on the observability and computability.Firstly,the numerical observability analysis method is used to calculate the dividing situation of observable islands and the observability indicators under the stock measurement.Then the node information entropy based computability indicators are proposed and obtained through the execution of Monte Carlo simulation.Finally,the identification method of the critical measurement in the distribution network is proposed based on the observability and computability indicators,and the optimal measurement configuration scheme is given.The case analysis shows the validity and feasibility of the proposed method.
作者 陈培育 金尧 郑骁麟 程茹芸 张加东 徐弢 CHEN Peiyu;JIN Yao;ZHENG Xiaolin;CHENG Ruyun;ZHANG Jiadong;XU Tao(State Grid Tianjin Electric Power Research Institute,Tianjin 300384,China;State Grid Tianjin Electric Power Company,Tianjin 300010,China;School of Electrical Automation and Information Engineering,Tianjin University,Tianjin 300072,China)
出处 《智慧电力》 北大核心 2024年第3期110-116,共7页 Smart Power
基金 国家自然科学基金资助项目(52277119) 国网天津市电力公司科技项目(电科-研发2023-47)。
关键词 配电网 低冗余度 可观性 可计算性 状态估计 关键量测挖掘 distribution network low redundancy observability computability state estimation critical measurements mining
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