A Survey on State Estimation Techniques and Challenges in Smart Distribution Systems

被引:333
作者
Dehghanpour, Kaveh [1 ]
Wang, Zhaoyu [1 ]
Wang, Jianhui [2 ,3 ]
Yuan, Yuxuan [1 ]
Bu, Fankun [1 ]
机构
[1] Iowa State Univ, Dept Elect & Comp Engn, Ames, IA 50011 USA
[2] Southern Methodist Univ, Dept Elect Engn, Dallas, TX 75275 USA
[3] Argonne Natl Lab, Energy Syst Div, Argonne, IL 60439 USA
关键词
Distribution system state estimation; pseudo-measurements; topology; cyber-security; METER PLACEMENT; TOPOLOGY IDENTIFICATION; NETWORKED MICROGRIDS; BAYESIAN-APPROACH; ALGORITHM; ATTACKS; ROBUSTNESS; ALLOCATION; PROFILES; IMPACT;
D O I
10.1109/TSG.2018.2870600
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];
摘要
This paper presents a review of the literature on state estimation (SE) in power systems. While covering works related to SE in transmission systems, the main focus of this paper is distribution system SE (DSSE). The critical topics of DSSE, including mathematical problem formulation, application of pseudo-measurements, metering instrument placement, network topology issues, impacts of renewable penetration, and cyber-security are discussed. Both conventional and modern data-driven and probabilistic techniques have been reviewed. This paper can provide researchers and utility engineers with insights into the technical achievements, barriers, and future research directions of DSSE.
引用
收藏
页码:2312 / 2322
页数:11
相关论文
共 100 条
[1]
Ablakovic D., 2014, P IEEE PES GEN M JUL, P1
[2]
Distribution System State Estimation Based on Nonsynchronized Smart Meters [J].
Alimardani, Arash ;
Therrien, Francis ;
Atanackovic, Djordje ;
Jatskevich, Juri ;
Vaahedi, Ebrahim .
IEEE TRANSACTIONS ON SMART GRID, 2015, 6 (06) :2919-2928
[3]
Impact of Pseudo-Measurements From New Power Profiles on State Estimation in Low-Voltage Grids [J].
Angioni, Andrea ;
Schloesser, Tim ;
Ponci, Ferdinanda ;
Monti, Antonello .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2016, 65 (01) :70-77
[4]
[Anonymous], 2017, FERC STAFF REPORT AS
[5]
[Anonymous], IEEE T SMART GRID
[6]
[Anonymous], STATE ESTIMATION ELE
[7]
[Anonymous], IEEE T POWER DEL
[8]
[Anonymous], 2018, Performance evaluation of supervised machine learning classifiers for predicting healthcare operational decisions
[9]
An Efficient DSE Using Conditional Multivariate Complex Gaussian Distribution [J].
Arefi, Ali ;
Ledwich, Gerard ;
Behi, Behnaz .
IEEE TRANSACTIONS ON SMART GRID, 2015, 6 (04) :2147-2156
[10]
Arghandeh Reza, 2015, 2015 IEEE Power & Energy Society General Meeting, P1, DOI 10.1109/PESGM.2015.7286053