Impact Studies and Cooperative Voltage Control for High PV Penetration

作     者：Rathbun, Michael Xu, Ying nejad, Reza Roofegari Qu, Zhihua Sun, Wei 

作者机构：Department of ECE University of Central Florida OrlandoFL United States 

出 版 物：《IFAC-PapersOnLine》 

年 卷 期：2018年第51卷第28期

页      面：684-689页

核心收录：

基　　金：Center for Social Inclusion  CSI: CsCaSw-a1r3d0s89D2E8-EanEd00E06C3C40S Center for Social Inclusion  CSI: EE0007998 Center for Social Inclusion  CSI: DE-EE0007327 Center for Social Inclusion  CSI: DEEmnEedn0007998.etrogfrEanntesrgEy Center for Social Inclusion  CSI: DE-EE0006340 University of Central Florida  UCF: EfıErm12t3h-enıMduelttiesAtgfenetdeflrMuAn eri1spalmre ltaiwtmeivheelriyenatlserıwvpaedlaukfırrilnıgasıldthartiismpteieaksmea.rieIsnfbrtıehmteweU6e f0e0tch8t fl2fl2000077 2010 fl2fl2000088 psuneccessfndsiHveatubzliulaytr.gHaylrısiıwıueivnefel2rf nIffullydle6ft s8uapntismcı.fientAdrırwılluehiledn urflc2e00 i9nv ECCS-1308928 ECCS-1552073 

主　　题：Power control Distributed power generation Learning algorithms Multi agent systems Reactive power Stochastic systems Voltage control Clustering strategy Co operative control Computational advantages Greedy search algorithms Reactive power compensation Scalable communication Voltage control methods Worst case scenario 

摘      要：The drastically increasing penetration of photovoltaic (PV) has posed tremendous challenges in operation, control, and protection in distribution networks. The over-voltage issue is one of major concerns for extremely high PV penetration (e.g. 100%). It is critical to identify the most sensitive locations to high PV penetration and apply effective methods to mitigate the over-voltage issue. This paper introduced a novel greedy search algorithm to locate worst-case scenarios of over-voltage in both distributed and centralized PV configurations, as well as a cooperative voltage control method to mitigate over-voltage. The search algorithm has the computational advantage over existing stochastic approach and provides more insights in impact studies. The cooperative control method relies upon reactive power compensation to converge system voltage to a predefined value within standard limits. Moreover, a clustering strategy is applied to divide the network into several clusters, within which all nodes share information with neighboring nodes following a scalable communication architecture. The control algorithms and communication hierarchies presented in this paper have been implemented into OpenDSS to form the Multi Agent (MA) OpenDSS package, which has been made available to the reader. The effectiveness of developed methods are demonstrated through simulation studies on the IEEE 123-node test feeder under four different load levels. © 2018