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基于电压灵敏度的配电网DG接纳能力不确定性分析
引用本文:晋飞,刘静利,刘晓亮,温国强,董逸超,王守相,赵倩宇. 基于电压灵敏度的配电网DG接纳能力不确定性分析[J]. 电力自动化设备, 2022, 42(7)
作者姓名:晋飞  刘静利  刘晓亮  温国强  董逸超  王守相  赵倩宇
作者单位:国网山东省电力公司潍坊供电公司,山东 潍坊 261061;天津大学 智能电网教育部重点实验室,天津 300072
基金项目:国网山东省电力公司科技项目(2021A-018)
摘    要:为提升不确定环境下配电网分布式电源(DG)接纳能力分析的准确性,采用区间数学和仿射数学量化不确定性因素与电压灵敏度间的映射关系,推导基于雅可比矩阵的仿射三相电压灵敏度方程,有效追踪节点电压幅值对节点注入功率不确定性变化的灵敏度。考虑配电网DG配置方式不确定性引起的过电压风险,提出基于雅可比矩阵电压灵敏度的DG接纳能力不确定性分析方法,该方法兼顾DG接纳能力分析的准确性与快速性,有利于辅助规划人员进行DG接纳能力的在线快速分析和全面准确决策。IEEE 33节点配电网算例分析结果表明,所提方法在保证计算精度的前提下可使仿真时间缩短36.44 %,验证了该方法的合理性和有效性。

关 键 词:配电网;DG接纳能力;电压灵敏度;不确定性分析

Uncertainty analysis of DG hosting capacity in distribution network based on voltage sensitivity
JIN Fei,LIU Jingli,LIU Xiaoliang,WEN Guoqiang,DONG Yichao,WANG Shouxiang,ZHAO Qianyu. Uncertainty analysis of DG hosting capacity in distribution network based on voltage sensitivity[J]. Electric Power Automation Equipment, 2022, 42(7)
Authors:JIN Fei  LIU Jingli  LIU Xiaoliang  WEN Guoqiang  DONG Yichao  WANG Shouxiang  ZHAO Qianyu
Affiliation:Weifang Power Supply Company of State Grid Shandong Electric Power Company, Weifang 261061, China;Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China
Abstract:In order to improve the accuracy of DG(Distributed Generation) hosting capacity analysis under uncertain environment, the interval mathematic and affine mathematic are adopted to quantify the mapping relationship between uncertainty factors and voltage sensitivity, the affine three-phase voltage sensitivity equations based on Jacobian matrix are derived, and the sensitivity of node voltage magnitude to the uncertainty variation of node injection power is effectively tracked. The overvoltage risk caused by the uncertainty of DG configuration mode is considered, and an uncertainty analysis method of DG hosting capacity is proposed based on voltage sensitivity of Jacobian matrix, which considers both the accuracy and rapidity of DG hosting capacity analysis, and is helpful to assist planners for quick online DG hosting capacity analysis and comprehensive and accurate decision making. The case analysis results of IEEE 33-bus distribution network show that the proposed method can reduce simulation time by 36.44 % on the premise of ensuring the computation accuracy, which verifies the rationality and effectiveness of the proposed method.
Keywords:distribution network   DG hosting capacity   voltage sensitivity   uncertainty analysis
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