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机构地区:[1]State Grid Information&Telecommunication Group Co.,Ltd.,Beijing Branch,Bejing,China [2]School of Electrical and Control Engineering,North China University of Technology,Beijing,China
出 处:《Journal of Modern Power Systems and Clean Energy》2024年第4期1217-1226,共10页现代电力系统与清洁能源学报(英文)
基 金:supported by the National Natural Science Foundation of China(No.5217070269).
摘 要:Networked microgrids(NMGs)are critical in theaccommodation of distributed renewable energy.However,theexisting centralized state estimation(SE)cannot meet the demandsof NMGs in distributed energy management.The currentestimator is also not robust against bad data.This study introducesthe concepts of relative error to construct an improvedrobust SE(IRSE)optimization model with mixed-integer nonlinearprogramming(MINLP)that overcomes the disadvantage ofinaccurate results derived from different measurements whenthe same tolerance range is considered in the robust SE(RSE).To improve the computation efficiency of the IRSE optimizationmodel,the number of binary variables is reduced based on theprojection statistics and normalized residual methods,which effectivelyavoid the problem of slow convergence or divergenceof the algorithm caused by too many integer variables.Finally,an embedded consensus alternating direction of multiplier method(ADMM)distribution algorithm based on outer approximation(OA)is proposed to solve the IRSE optimization model.This algorithm can accurately detect bad data and obtain SE resultsthat communicate only the boundary coupling informationwith neighbors.Numerical tests show that the proposed algorithmeffectively detects bad data,obtains more accurate SE results,and ensures the protection of private information in all microgrids.
关 键 词:Distributed optimization alternating direction of multiplier methods(ADMM) robust state estimation(RSE) mixed-integer nonlinear programming(MINLP) networked microgrid(NMG)
分 类 号:TM73[电气工程—电力系统及自动化] O224[理学—运筹学与控制论]
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