Battery Management of Microgrids Based on Scenario Optimization

This paper proposes an optimal battery management methodology in microgrids. Every microgrid gives other microgrids a fair deal of electric power based on Generalized Nash Bargaining Solution, which is a kind of optimal solutions of a fair trade in game theory. In this paper, we use a method of scenario optimization in order to take optimal and safe estimates for generations from renewable energy sources. First, many scenarios of the amount of generation are prepared. Then, we calculate the total cost of microgrids for each scenario and find the highest cost. We determine the strategy which corresponds to the highest-cost-scenario as each microgrid's final strategy. Through this method, the number of violations of the limitations of the batteries and the extra cost caused by those violations has been reduced. Power flow in networks which connect each microgrid and an electric power company is also considered.