Distributed Optimal Coordination of a Virtual Power Plant with Residential Regenerative Electric Heating Systems

• Published in: Energies (Basel) Vol. 16; no. 11; p. 4314
• Main Authors: Yang, Guixing, Liu, Haoran, Wang, Weiqing, Chen, Junru, Lei, Shunbo
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 25.05.2023
• Subjects: ADMM; Algorithms; Alternative energy sources; Analysis; Communication; Communications networks; Electric power-plants; Electric vehicles; Electricity; Electricity distribution; Energy management; Energy management systems; Energy resources; Energy storage; Linear programming; Optimization algorithms; Power plants; Privacy; Profit maximization; regenerative electric heating systems; Renewable resources; Scheduling; Trends; virtual power plant
• ISSN: 1996-1073; 1996-1073
• DOI: 10.3390/en16114314

Renewable energy sources play a key role in the transition towards clean and affordable energy. However, grid integration of renewable energy sources faces many challenges due to its intermittent nature. The controllability of aggregated regenerative electric heating load provides a method for the consumption of renewable energy sources. Based on the concept of a virtual power plant (VPP), this paper considers the cooperative energy management of aggregated residential regenerative electric heating systems. First, considering physical constraints, network constraints, and user comfort, comprehensive modeling of a VPP is given to maximize its social benefits. In addition, this VPP is investigated as a participant in day-ahead energy and reserve markets. Then, to solve this problem, a distributed coordination approach based on an alternating direction method of multipliers (ADMM) is proposed, which can respect the independence of users and preserve their privacy. Finally, the simulation results illustrate the effectiveness of our algorithm.