Distributed operation optimization for multi Microgrids with energy trading

Recent advancement of renewable energy has motivated microgrids to trade energy with each other and main grid to minimize their operational cost. This paper propose a new methodological framework for operation optimization to incentivize energy trading among MGs. Different from the existed studies, the proposed approach allows MGs to autonomously trade energy without the government of energy market or aggregator. To address the privacy problem, a distributed ADMM algorithm is adopted to solve the energy trading problem. The developed method is implemented on a 3 MGs system and its effectiveness is demonstrated through the case studies.