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基于安全边界几何观测的配电网改造规划实用方法 被引量:7

Practical method of reconstruction planning in distribution network based on geometrical observation of security boundary
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摘要 提出了一种基于安全边界几何观测的配电网改造规划实用方法:介绍了有关安全边界理论的配电系统安全域(DSSR)和最大供电能力(TSC)曲线这2个内容;设计了多个反映DSSR和TSC曲线的形状、大小的几何观测视图以及几何观测指标,从而能全面地反映给定配电网的安全和效率特征;给出了改造规划的具体步骤;通过IEEE-RBTS-BUS4扩展算例验证了所提方法的有效性。算例结果表明,所提方法能直观地展现改造方案在安全域和供电能力方面的变化。所提方法从安全性和效率角度提供了新的配电网观察手段和分析工具,是现有配电网改造规划方法的重要补充。 A practical method of reconstruction planning in distribution network based on geometrical obser⁃vation of security boundary is proposed.Two contents of DSSR(Distribution System Security Region)and TSC(Total Supply Capability)curve related to safety boundary theory are introduced.A number of geometrical observation figures and geometrical observation indexes reflecting the shape and size of DSSR and TSC curve are designed to fully describe the security and efficiency characteristics of a given distribution network.Then,the concrete steps of the reconstruction planning are presented.The expanded IEEE-RBTSBUS4 case is used to verify the effectiveness of the proposed method.Case results show that the variation in security region and supply capability can be easily discovered before and after reconstruction through the proposed method.The proposed method provides a new observation method and analysis tool for the new distribution network from the perspective of security and efficiency,which is an important supplement to the traditional method of reconstruction planning.
作者 肖峻 秋泽楷 李航 林启思 宋晨辉 XIAO Jun;QIU Zekai;LI Hang;LIN Qisi;SONG Chenhui(Key Laboratory of Smart Grid of Ministry of Education,Tianjin University,Tianjin 300072,China;Suzhou Operation and Maintenance Station,Maintenance Branch of State Grid Jiangsu Electric Power Co.,Ltd.,Suzhou 215000,China)
出处 《电力自动化设备》 EI CSCD 北大核心 2021年第8期1-7,共7页 Electric Power Automation Equipment
基金 国家重点研发计划项目(2016YFB0900100) 国家自然科学基金资助项目(51877144)。
关键词 配电网 改造规划 安全域 几何观测 最大供电能力曲线 distribution network reconstruction planning security region geometrical observation total supply capability curve
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