Probabilistic Optimal Power Flow of an AC/DC System with a Multiport Current Flow Controller

作     者：Jing Bian He Wang Limeng Wang Guoqing Li Zhenhao Wang Jing Bian;He Wang;Limeng Wang;Guoqing Li;Zhenhao Wang

作者机构：Department of Electrical EngineeringNortheast Electric Power UniversityJilin 132000China 

出 版 物：《CSEE Journal of Power and Energy Systems》 (中国电机工程学会电力与能源系统学报（英文）)

年 卷 期：2021年第7卷第4期

页      面：744-752页

核心收录：

学科分类：080802[工学-电力系统及其自动化] 0808[工学-电气工程] 08[工学] 

基　　金：supported by the National Natural Science Foundation of China(Grant No.51677023) 

主　　题：AC/DC system correlation multiport current controller probabilistic optimal power flow PV 

摘      要：To evaluate the impact of the randomness and correlation of photovoltaic(PV)and load on AC/DC systems with a multiport current flow controller(M-CFC),this paper proposes a probabilistic optimal power flow calculation for AC/DC systems,based on a nonparametric kernel density ***,according to the M-CFC model,the DC power flow calculation method with M-CFC was inferred,and its influence on line loss was ***,a nonparametric kernel density estimation with an adaptive bandwidth is used to accurately describe the probability distribution of the PV and load,and correlation samples of the PV and load are obtained by the mixed copula *** an optimization model that considers system loss and static security is established,and a fast nondominated sorting genetic algorithm based on the elite strategy(NSGA-II)is used to calculate the multi-objective probability optimal power flow of the AC/DC ***,a case study is performed on a modified IEEE39 bus system using measured PV and load *** verified that the nonparametric kernel density estimation with an adaptive bandwidth can better adapt to random component uncertainty,and M-CFC can improve the static security of the system.