Two-stage energy scheduling framework for multi-microgrid system in market environment

Abstract

This paper focuses on the day-ahead and real-time transactive energy markets in the multi-microgrid system. The main purpose is to obtain an optimal schedule for the energy management of microgrids in energy markets. The proposed approach is modeled in a time frame including offline and online classes using a bi-level optimization structure. The first stage considers the day-ahead scheduling of the multi-microgrid system using game theory, where a retail market is established for transactive energy exchange between the microgrids and the microgrid community on an hourly time scale. The second stage focuses on managing the fluctuations of renewables and electricity demand on a shorter time scale and forming a real-time market in the multi-microgrid. The purpose of the second stage implementation is real-time dispatch to minimize the imbalance cost of the microgrids and the microgrid community. The simulation results show that in a cooperative space between neighboring microgrids, the total operating cost is reduced by $61.26. Moreover, this cost reduction reaches $44.05 by moving the battery energy storage systems to the level of microgrids.