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
|