Optimal allocation of soft open points in active distribution network with high penetration of renewable energy generations

作     者：Cong, Pengwei Hu, Zechun Tang, Wei Lou, Chengwei Zhang, Lu 

作者机构：Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China China Agr Univ Coll Informat & Elect Engn Beijing 100083 Peoples R China Aston Univ Sch Engn & Appl Sci Birmingham W Midlands England 

出 版 物：《IET GENERATION TRANSMISSION & DISTRIBUTION》 (IET发电，输电与配电)

年 卷 期：2020年第14卷第26期

页      面：6732-6740页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 

基　　金：National Key Research and Development Program of China [2016YFB0900100] 

主　　题：reactive power distributed power generation integer programming load flow power distribution planning power generation planning soft open point active distribution network renewable energy generations volatile power injections power electronic device reactive power flow ADN comprehensive optimisation method SOP candidate locations two-stage robust optimisation model network operation second-order cone programming problem constraint generation algorithm optimal SOP allocation IEEE 123 bus systems IEEE 33 bus systems PG& E 69 bus systems REG forecast errors column and constraint generation algorithm 

摘      要：With the integration of more and more renewable energy generations (REGs), the structure of traditional distribution networks is hard to accommodate the volatile power injections of REGs. As a new power electronic device, soft open point (SOP) can be installed to control both active and reactive power flow among active distribution networks (ADNs). This paper presents a comprehensive optimization method for allocating SOPs within an ADN with high penetration of REGs. In order to find proper SOP candidate locations, a selection strategy based on two technical indices is proposed. To mitigate the risk of voltage violation caused by REG forecast errors and improve the adaptiveness of allocation results, a two-stage robust optimization model for SOP allocation is formulated to minimize the total cost of SOP investment and network operation. The proposed model is converted into a mixed-integer second-order cone programming (MISCOP) problem, which is then decoupled into a master problem of planning and a subproblem of operation and solved by column and constraint generation (CCG) algorithm. Simulation results show that the proposed method can effectively find the optimal SOP allocation schemes. Comparisons with different mathematical formulation and solution methods show the advantages of the proposed method.