Distributionally Robust Chance-Constrained Optimization for Soft Open Points Operation in Active Distribution Networks  

作　　者：Qilin Hou Ge Chen Ningyi Dai Hongcai Zhang 

机构地区：[1]Department of Electrical and Computer Engineering,State Key Laboratory of Internet of Things for Smart City,University of Macao,Macao 999078,China

出　　处：《CSEE Journal of Power and Energy Systems》2025年第2期637-648,共12页中国电机工程学会电力与能源系统学报(英文)

基　　金：supported in part by the Science and Technology Development Fund,Macao,China(File no.SKL-IOTSC2021-2023(UM)&0076/2019/AMJ&003/2020/AKP);the Science and Technology Department of Sichuan Province(File no.2020YFH0191).

摘　　要：The escalating installation of distributed generation (DG) within active distribution networks (ADNs) diminishes the reliance on fossil fuels, yet it intensifies the disparity between demand and generation across various regions. Moreover, due to the intermittent and stochastic characteristics, DG also introduces uncertain forecasting errors, which further increase difficulties for power dispatch. To overcome these challenges, an emerging flexible interconnection device, soft open point (SOP), is introduced. A distributionally robust chance-constrained optimization (DRCCO) model is also proposed to effectively exploit the benefits of SOPs in ADNs under uncertainties. Compared with conventional robust, stochastic and chance-constrained models, the DRCCO model can better balance reliability and economic profits without the exact distribution of uncertainties. More-over, unlike most published works that employ two individual chance constraints to approximate the upper and lower bound constraints (e.g, bus voltage and branch current limitations), joint two-sided chance constraints are introduced and exactly reformulated into conic forms to avoid redundant conservativeness. Based on numerical experiments, we validate that SOPs' employment can significantly enhance the energy efficiency of ADNs by alleviating DG curtailment and load shedding problems. Simulation results also confirm that the proposed joint two-sided DRCCO method can achieve good balance between economic efficiency and reliability while reducing the conservativeness of conventional DRCCO methods.

关 键 词：Active distribution networks distributionally robust chance-constrained optimization soft open points 

分 类 号：TM73[电气工程—电力系统及自动化]