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考虑DG并网逆变器和APF参与电压治理的SVG优化配置
引用本文:许竞,田书娅,赵铁军,高小刚,叶鞠,卜令岩,刘文邈. 考虑DG并网逆变器和APF参与电压治理的SVG优化配置[J]. 中国电力, 2021, 54(12): 2-10. DOI: 10.11930/j.issn.1004-9649.202104032
作者姓名:许竞  田书娅  赵铁军  高小刚  叶鞠  卜令岩  刘文邈
作者单位:1. 国网冀北电力有限公司秦皇岛供电公司, 河北 秦皇岛 066004;2. 电力电子节能与传动控制河北省重点实验室(燕山大学), 河北 秦皇岛 066004;3. 国网沈阳供电公司, 辽宁 沈阳 110811;4. 国网冀北电力有限公司张家口供电公司, 河北 张家口 075000
基金项目:国家自然科学基金资助项目(主动配电网电能质量治理资源分区协同优化配置策略研究,51877186);国网冀北电力有限公司科技项目(5201041900VX)。
摘    要:为解决配电网中分布式电源(DG)高比例渗透引起的电压偏差问题,提高系统电压稳定性,提出一种DG并网逆变器和电压检测型有源滤波器(voltage detection based active power filter,VDAPF)参与电压治理的SVG优化配置策略。采用分区思想,提出基于社团理论的分区方法,选取各区域的主导治理节点作为SVG候选接入节点;建立SVG总投资成本最小和系统电压偏差治理效果最优的多目标SVG优化配置模型,并采用改进的遗传算法对配置模型进行求解;考虑DG并网逆变器和电压检测型APF剩余容量的不确定性,采用多场景分析技术构建一系列电压治理运行场景。以IEEE 33节点配电网结构为算例进行分析,验证了所提优化配置策略的有效性和合理性。

关 键 词:配电网  电压治理  分区  静止无功发生器  优化配置  场景分析  
收稿时间:2021-04-25
修稿时间:2021-09-27

Optimal Allocation of SVG Considering Voltage Mitigation of DG Grid-connected Inverter and APF
XU Jing,TIAN Shuya,ZHAO Tiejun,GAO Xiaogang,YE Ju,BU Lingyan,LIU Wenmiao. Optimal Allocation of SVG Considering Voltage Mitigation of DG Grid-connected Inverter and APF[J]. Electric Power, 2021, 54(12): 2-10. DOI: 10.11930/j.issn.1004-9649.202104032
Authors:XU Jing  TIAN Shuya  ZHAO Tiejun  GAO Xiaogang  YE Ju  BU Lingyan  LIU Wenmiao
Affiliation:1. Qinhuangdao Power Supply Company, State Grid Jibei Electric Power Co., Ltd., Qinhuangdao 066004, China;2. Key Lab of Power Electronics for Energy Conservation and Motor Drive of Hebei Province (Yanshan University), Qinhuangdao 066004, China;3. State Grid Shenyang Electric Power Supply Company, Shenyang 110811, China;4. Zhangjiakou Power Supply Company, State Grid Jibei Electric Power Co., Ltd., Zhangjiakou 075000, China
Abstract:To solve the voltage deviation problem caused by the high penetration of distributed generation (DG) in the distribution networks, a strategy is proposed for optimal allocation of static var generator (SVG) with consideration of voltage mitigation of DG grid-connected inverter (GCIN) and voltage detection based active power filter (VDAPF). Firstly, a partitioning method based on community theory is proposed. And then, the dominant nodes in each region are selected as the candidate nodes of SVG to be installed. A multi-objective SVG optimal allocation model is established with minimum total cost of SVG and optimal mitigation effect of system voltage deviation, and the improved genetic algorithm is used to solve the allocation model. Considering the uncertainties of the remaining capacity of GCIN and VDAPF, the multi-scenario analysis technique is adopted to construct a series of voltage mitigation operation scenarios. A case study of the IEEE 33-bus distribution network is conducted to verify the effectiveness and rationality of the proposed strategy.
Keywords:distribution network  voltage mitigation  partition  static var generator  optimal allocation  scenario analysis  
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