Decentralized Equitable Energy Access in Energy Communities

• Published in: Allerton Conference on Communication, Control, and Computing : proceedings pp. 1 - 4
• Main Authors: Li, Siying, Mount, Timothy D., Tong, Lang
• Format: Conference Proceeding
• Language: English
• Published: IEEE 24.09.2024
• Subjects: Bi-level optimization; Distributed power generation; energy community; Energy consumption; energy justice; Energy resources; equity; fairness; Nanoelectromechanical systems; net energy metering; Optimization; Pricing; Real-time systems; Socioeconomics; Tariffs
• ISSN: 2836-4503
• DOI: 10.1109/Allerton63246.2024.10735271

We address the issue of equitable energy access within an energy community consisting of members with diverse socioeconomic backgrounds, including varying income levels and differing capacities to access distributed energy resources such as solar power and storage systems. While optimal energy consumption scheduling is well-studied, integrating equity into decentralized real-time energy access remains under-explored. This paper formulates Equity-regarding Welfare Maximization (EqWM)-a welfare optimization energy scheduling subject to equity constraints. We further develop a decentralized implementation (D-EqWM) as a bi-level optimization, where a non-profit operator designs a community pricing policy aimed at maximizing overall welfare, subject to constraints that ensure equitable access. Community members, in turn, optimize their individual consumption based on these prices. We present the optimal pricing policy along with its key properties.