Two-stage Stochastic Programming for Coordinated Operation of Distributed Energy Resources in Unbalanced Active Distribution Networks with Diverse Correlated Uncertainties

作     者：Ruoxuan Leng Zhengmao Li Yan Xu 

作者机构：School of Electrical and Electronic EngineeringNanyang Technological UniversitySingapore 

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：2023年第11卷第1期

页      面：120-131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] 

主　　题：Active distribution network(ADN) two-stage stochastic programming(SP) uncertainties voltage/var control(VVC) battery degradation 

摘      要：This paper proposes a stochastic programming(SP)method for coordinated operation of distributed energy resources(DERs)in the unbalanced active distribution network(ADN)with diverse correlated ***,the threephase branch flow is modeled to characterize the unbalanced nature of the ADN,schedule DER for three phases,and derive a realistic DER ***,both active and reactive power resources are co-optimized for voltage regulation and power loss ***,the battery degradation is considered to model the aging cost for each charging or discharging event,leading to a more realistic cost ***,copulabased uncertainty modeling is applied to capture the correlations between renewable generation and power loads,and the twostage SP method is then used to get final ***,numerical case studies are conducted on an IEEE 34-bus three-phase ADN,verifying that the proposed method can effectively reduce the system cost and co-optimize the active and reactive power.