中国电机工程学报2017，Vol.37Issue(14)：4036-4043,8.DOI:10.13334/j.0258-8013.pcsee.162379
多模型自适应控制应用于大型光伏电站阻尼区间振荡
Application of Multiple-model Adaptive Control for Damping Inter-area Oscillations by Large-scale Photovoltaic Plant
摘要
Abstract
Studies suggested that supplementary damping control of large-scale photovoltaic (PV) plants could be used to effectively damp inter-area low frequency oscillations in interconnected power system.Multiple-model adaptive control (MMAC) was introduced for damping to overcome the incapability of conventional damping control methods in dealing with big disturbance.The K-medoids algorithm was used to cluster models associated with operating conditions,low frequency oscillation modes being the features,and dampers were designed based on individual centroid models of the clusters respectively.Based on the deviation between the output dynamic responses of the actual system and models,the probability of each model representing the actual system in real time was calculated through Bayesian approach.Weights of damper's outputs were updated,and the weighted average of the individual damper's outputs was attached to the reactive power control of the PV plant as the resultant damping control signal.A four-machine two-area test system connected with a PV plant was built using DIgSILENT/PowerFactory,and the nonlinear simulation results show that the proposed control strategy is efficient for damping inter-area oscillations caused by unexpected disturbances without any prior knowledge about postdisturbance states of the system.Robustness for time delays and random fluctuation of irradiation is also verified.关键词
大型光伏电站/区间振荡/多模型自适应控制/贝叶斯方法/K-medoids聚类算法Key words
large-scale PV plant/inter-area oscillation/multiple-model adaptive control/Bayesian approach/K-medoids clustering algorithm分类
信息技术与安全科学引用本文复制引用
余希瑞,周林,郭珂,刘强..多模型自适应控制应用于大型光伏电站阻尼区间振荡[J].中国电机工程学报,2017,37(14):4036-4043,8.基金项目
国家自然科学基金项目(51477021).Project Supported by National Natural Science Foundation of China(51477021). （51477021）
