A Cooperative Game Approach for Energy Management of Interconnected Microgrids
Mohadese Movahednia, Hamid Karimi, Shahram Jadid

TL;DR
This paper introduces a cooperative game model for multi-microgrid energy management that optimizes costs, fairly allocates savings, and incorporates uncertainties, demonstrating significant cost reductions compared to isolated operation.
Contribution
It presents a novel cooperative game approach using Shapley value for fair cost allocation in multi-microgrid systems with uncertainty modeling.
Findings
Cost of the MMG system decreases with cooperation.
Microgrid costs are reduced by up to 11.8%.
All microgrids benefit from cooperation.
Abstract
In this study, a cooperative game model is presented to schedule the day-ahead operation of multi-microgrid (MMG) systems. In the proposed model, microgrids are scheduled to achieve a global optimum for the cost of the multi-microgrid system. The minimum cost is achieved by transactions of microgrids with each other. Also, price-based demand response is implemented in the model to build a cost-reducing opportunity for consumers. Applying Shapley value, the optimum cost of the MMG system is fairly allocated between microgrids. To enhance the confidence level of results, data uncertainties are incorporated into the model. The uncertainties of renewable outputs, demand, and prices of trading with the main grid are applied in the model. The presented model is developed as a mixed-integer linear programming problem, and its efficiency is evaluated on a standard test system containing three…
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Taxonomy
TopicsMicrogrid Control and Optimization · Smart Grid Energy Management · Optimal Power Flow Distribution
