A distributed algorithm based on relaxed ADMM for energy resources coordination. (February 2022)

• Record Type: Journal Article
• Authors: Liu, Hongli; Shi, Yawei; Wang, Zheng; Ran, Liang; Lü, Qingguo; Li, Huaqing
• Is Part Of: International journal of electrical power & energy systems. Volume 135(2022)
• Publication Date: 2022-02
• Subjects: Distributed convex optimization -- Relaxed ADMM -- Distributed energy resources -- Optimization coordination; 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.2021.107482
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: Apply relaxed ADMM method to address DERs coordination in a decentralized way. Introduce energy storage devices with charging/discharging efficiency taken into account. Allow possibly non-smooth cost functions of DERs. Abstract: Distributed optimization algorithms contribute to an insight for the optimal coordination of distributed energy resources (DERs). To tackle the DER coordination problem, this paper studies a composite constrained optimization problem over multi-agent networks, where all agents independently maintain convex objective functions while satisfying the local and coupled constraints. Within the Peaceman-Rachford splitting (PRS) framework, a distributed algorithm based on the relaxed ADMM method is proposed for the considered problem, where agents in the network commonly share a fixed step-size instead of the diminishing one. Finally, the simulations on the optimal coordination of DERs including distributed generators (DGs) and energy storages (ESs) are conducted to validate the effectiveness of the proposed algorithm.