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主动配电网状态估计技术评述
引用本文:吴在军,徐俊俊,余星火,胡秦然,窦晓波,顾伟.主动配电网状态估计技术评述[J].电力系统自动化,2017,41(13):182-191.
作者姓名:吴在军  徐俊俊  余星火  胡秦然  窦晓波  顾伟
作者单位:东南大学电气工程学院, 江苏省南京市 210096,东南大学电气工程学院, 江苏省南京市 210096,皇家墨尔本理工大学工学院, 墨尔本 VIC 3001, 澳大利亚,哈佛大学工程与应用科学学院, 剑桥 MA 02138, 美国,东南大学电气工程学院, 江苏省南京市 210096,东南大学电气工程学院, 江苏省南京市 210096
基金项目:国家自然科学基金资助项目(51677025);新世纪优秀人才支持计划资助项目(NCET-13-0129);国家电网公司科技项目“基于μPMU量测值的配电网状态估计和故障定位技术研究”
摘    要:间隙性分布式电源高渗透率并网,电动汽车、储能系统等可控负荷及高级量测装置的规模化接入使得主动配电网状态估计在结果精度要求、计算效率等方面面临诸多全新挑战。首先,简要阐述了国内外有关传统配电网状态估计技术前期的研究成果;然后,较为全面地梳理了主动配电网状态估计技术的国内外研究现状,包括新型伪量测的合理建模、状态估计算法的高效改进及量测装置的优化配置等研究方面;最后,对该领域未来进一步发展所面临的关键问题进行了探讨和分析。

关 键 词:主动配电网  状态估计  精度要求  计算效率  优化配置
收稿时间:2016/11/23 0:00:00
修稿时间:2017/4/24 0:00:00

Review on State Estimation Technique of Active Distribution Network
WU Zaijun,XU Junjun,YU Xinghuo,HU Qinran,DOU Xiaobo and GU Wei.Review on State Estimation Technique of Active Distribution Network[J].Automation of Electric Power Systems,2017,41(13):182-191.
Authors:WU Zaijun  XU Junjun  YU Xinghuo  HU Qinran  DOU Xiaobo and GU Wei
Affiliation:School of Electrical Engineering, Southeast University, Nanjing 210096, China,School of Electrical Engineering, Southeast University, Nanjing 210096, China,School of Engineering, Royal Melbourne Institute of Technology University, Melbourne VIC 3001, Australia,School of Engineering and Applied Science, Harvard University, Cambridge MA 02138, USA,School of Electrical Engineering, Southeast University, Nanjing 210096, China and School of Electrical Engineering, Southeast University, Nanjing 210096, China
Abstract:High penetration of distributed generators, controllable loads, such as electric vehicles, energy storage systems, and access and application of sheer number of measuring devices present the state estimation program of active distribution network with many challenges in accuracy and efficiency. Firstly, this paper briefly summarizes the existing research results of traditional distribution network state estimation. Then the research status of examining state estimation technique in active distribution network is comprehensively presented, including the modeling of novel pseudo-measurements, the efficient improvement of the state estimation algorithm and the optimal meter placement. Finally, several aspects that should be focused on in future development of state estimation of active distribution networks are outlined.
Keywords:active distribution network  state estimation  accuracy requirement  computational efficiency  optimal configuration
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