Distributionally Robust Optimal Reactive Power Dispatch with Wasserstein Distance in Active Distribution Network

作     者：Jun Liu Yefu Chen Chao Duan Jiang Lin Jia Lyu Jun Liu;Yefu Chen;Chao Duan;Jiang Lin;Jia Lyu

作者机构：Shaanxi Key Laboratory of Smart GridSchool of Electrical EngineeringXi’an Jiaotong UniversityXi’anShaanxi 710049China Electric Power Dispatch and Control Center of Guangdong Power Grid CorporationGuangzhouGuangdong 510050China Department of Electrical Engineering and ElectronicsUniversity of LiverpoolLiverpool L693GJU.K. 

出 版 物：《Journal of Modern Power Systems and Clean Energy》 (现代电力系统与清洁能源学报（英文）)

年 卷 期：2020年第8卷第3期

页      面：426-436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 in part by National Key Research and Development Program of China(No.2018YFB0905000) in part by Key Research and Development Program of Shaanxi(No.2017ZDCXL-GY-02-03) 

主　　题：Active distribution network chance constraint renewable energy source optimal reactive power dispatch(ORPD) 

摘      要：The uncertainties from renewable energy sources(RESs)will not only introduce significant influences to active power dispatch,but also bring great challenges to the analysis of optimal reactive power dispatch(ORPD).To address the influence of high penetration of RES integrated into active distribution networks,a distributionally robust chance constraint(DRCC)-based ORPD model considering discrete reactive power compensators is proposed in this *** proposed ORPD model combines a second-order cone programming(SOCP)-based model at the nominal operation mode and a linear power flow(LPF)model to reflect the system response under ***,a distributionally robust optimization(WDRO)method with Wasserstein distance is utilized to solve the proposed DRCC-based ORPD *** WDRO method is data-driven due to the reason that the ambiguity set is constructed by the available historical data without any assumption on the specific probability distribution of the *** the more data is available,the smaller the ambiguity would *** results on IEEE 30-bus and 123-bus systems and comparisons with the other three-benchmark approaches demonstrate the accuracy and effectiveness of the proposed model and method.