An Adaptive Distributed Power Scheduling Algorithm for Renewable Microgrid Cooperation

Abstract

Microgrids (MGs) bring considerable advantages in improving reliability, reducing cost, and integrating renewable energy to the future electricity system. However, proper coordination among MGs with renewable resources is necessary for improving the penetration of renewables. In this paper, we propose an adaptive distributed energy scheduling scheme, known as DOPS, for MG cooperation in order to reduce the time-averaged operation cost and improve the utilization of renewable energy (RE) resources. In order to fully utilize the generated RE, a time-averaged RE utilization constraint is proposed and virtual queue technology is utilized to deal with the constraint. Because it is impossible to get the precise information of the future RE generation and load, we make use of Lyapunov optimisation to design the online algorithm for DOPS. Besides, we prove that DOPS can achieve a near-to-optimal performance in terms of the system cost. Furthermore, a trade-off between operation cost and battery size is derived. In the end, our simulation results show that DOPS can help reduce the operation cost and improve the utilization of RE dramatically.