全球能源互联网（英文）2021，Vol.4Issue(2)：126-135,10.DOI:10.14171/j.2096-5117.gei.2021.02.002
基于分布式电源的配电网恢复策略和实时控制方法
Distributed generator-based distribution system service restoration strategy and model-free control methods
摘要
Abstract
The rapid growth of distributed generator (DG) capacities has introduced additional controllable assets to improve the performance of distribution systems in terms of service restoration. Renewable DGs are of particular interest to utility companies, but the stochastic nature of intermittent renewable DGs could have a negative impact on the electric grid if they are not properly handled. In this study, we investigate distribution system service restoration using DGs as the primary power source, and we develop an effective approach to handle the uncertainty of renewable DGs under extreme conditions. The distribution system service restoration problem can be described as a mixed-integer second-order cone programming model by modifying the radial topology constraints and power flow equations. The uncertainty of renewable DGs will be modeled using a chance-constrained approach. Furthermore, the forecast errors and noises in real-time operation are solved using a novel model-free control algorithm that can automatically track the trajectory of real-time DG output. The proposed service restoration strategy and model-free control algorithm are validated using an IEEE 123-bus test system.关键词
配电网恢复/分布式电源/可再生能源/无模型控制/韧性电力系统/不确定性Key words
Distribution system service restoration/Distributed generator (DG)/Intermittent renewable energy sources/Model-free control/Power system resilience/Uncertainty management引用本文复制引用
Weijia Liu,Yue Chen,Fei Ding..基于分布式电源的配电网恢复策略和实时控制方法[J].全球能源互联网（英文）,2021,4(2):126-135,10.基金项目
This work was authored by the National Renewable Energy Laboratory(NREL),operated by Alliance for Sustainable Energy,LLC,for the U.S.Department of Energy(DOE)under Contract No.DE-AC36-08GO28308.This work was supported by the U.S.Department of Energy Office of Electricity AOP Distribution Grid Resilience Project.The views expressed in the article do not necessarily represent the views of the DOE or the U.S.Government.The U.S.Government retains and the publisher,by accepting the article for publication,acknowledges that the U.S.Government retains a nonexclusive,paid-up,irrevocable,worldwide license to publish or reproduce the published form of this work,or allow others to do so,for U.S.Government purposes. （NREL）
