Integrated Energy Exchange Scheduling for Multi-microgrid System with Electric Vehicles
Dai Wang, Xiaohong Guan, Jiang Wu, Pan Li, Peng Zan, Hui Xu

TL;DR
This paper proposes a two-stage, decentralized energy exchange scheduling strategy for multi-microgrid systems with electric vehicles, reducing costs and stabilizing power exchanges by using updated price signals.
Contribution
It introduces a novel two-stage scheduling method incorporating EVs as storage and a decentralized pricing strategy based on dual variables.
Findings
Reduces electricity costs significantly.
Prevents frequent battery charging/discharging transitions.
Limits power exchange within safe operational ranges.
Abstract
Electric vehicles (EVs) can be considered as flexible mobile battery storages in microgrids. For multiple microgrids in an area, coordinated scheduling on charging and discharging are required to avoid power exchange spikes between the multimicrogrid system and the main grid. In this paper, a two-stage integrated energy exchange scheduling strategy for multimicrogrid system is presented, which considers EVs as storage devices. Then several dual variables, which are representative of the marginal cost of proper constraints, are utilized to form an updated price, thereby being a modification on the original electricity price. With this updated price signal, a price-based decentralized scheduling strategy is presented for the Microgrid Central Controller (MGCC). Simulation results show that the two-stage scheduling strategy reduces the electricity cost and avoids frequent transitions…
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