Asynchronous decentralized adjustable robust operation for multi-area integrated electricity–gas systems considering wind power uncertainty. (May 2023)

• Record Type: Journal Article
• Authors: Zhai, Junyi; Jiang, Yuning; Chen, Xiao; Li, Jianing; Jones, Colin N.; Zhang, Xiao-Ping
• Is Part Of: International journal of electrical power & energy systems. Volume 147(2023)
• Publication Date: 2023-05
• Subjects: Multi-area integrated electricity and natural gas system (IEGS) -- Wind energy uncertainty -- Asynchronous decentralized optimization -- Linear decision rules (LDRs) -- Automatic generation control (AGC); Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2022.108882
• Languages: English
• ISSNs: 0142-0615

Abstract

Abstract: Modern energy infrastructure has evolved into an integrated electricity and natural gas systems (IEGS), which often encompasses multiple geographically-diverse energy areas. This paper focuses on the decentralized adjustable robust operation problem for multi-area IEGS. Existing distributed algorithms usually require synchronization of all area subproblems, which is hard to scale and could result in under-utilization of computation resources due to the heterogeneity of local areas. To address those limitations, this paper proposes an asynchronous alternating direction method of multipliers (ADMM) based decentralized model for multi-area IEGS. This asynchronous decentralized structure only requires local communications and allows each area to perform local updates with information from a subset of but not all neighbors, where the individual areas' subproblems are solved independently and asynchronously. Meanwhile, the linear decision rules (LDRs)-based adjustable robust operation model is tailored to combine with the automatic generation control (AGC) systems to fully exploit its potential in dealing with renewable energy uncertainty. Numerical results illustrate the effectiveness of the proposed method. Highlights: Proposing asynchronous decentralized ADMM structure for multi-area IEGS. Exploiting the potential of AGC systems in dealing with renewable energy uncertainty. Proposing a tailored LDRs-based adjustable robust model compatible with AGC systems.