DOI:10.35833/MPCE.2022.000510 Two-stage Stochastic Programming for Coordinated Operation of Distributed Energy Resources in Unbalanced Active Distribution Networks with Diverse Correlated Uncertainties Page view: 103        Net amount: 300 Author: Ruoxuan Leng, Zhengmao Li, Yan Xu Author Affiliation: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore Foundation: Abstract: 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 uncertainties. First, the three-phase branch flow is modeled to characterize the unbalanced nature of the ADN, schedule DER for three phases, and derive a realistic DER allocation. Then, both active and reactive power resources are co-optimized for voltage regulation and power loss reduction. Second, the battery degradation is considered to model the aging cost for each charging or discharging event, leading to a more realistic cost estimation. Further, copula-based uncertainty modeling is applied to capture the correlations between renewable generation and power loads, and the two-stage SP method is then used to get final solutions. Finally, 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. Keywords: Active distribution network (ADN) ; two-stage stochastic programming (SP) ; uncertainties ; voltage/var control (VVC) ; battery degradation Received:August 11, 2022               Online Time:2023/01/28 View Full Text       Download reader