Cooperative Optimal Scheduling of Multi-microgrids Based on Cooperative Game Considering Conditional Value at Risk

With the emergence of large-scale abandonment of wind and light, how to improve the consumption of renewable energy for a microgrid system is of great significance. Firstly, CHP, heat pump, electric energy storage and thermal energy storage are considered to establish the framework of multi-microgrid system. Secondly, due to the heterogeneity of wind power output, load demand and equipment parameters of different microgrids, considering the possibility of cooperation among several microgrids, the essence of energy complementarity to increase the overall profits is explained. On the basis of this situation, takes into account the limitation of transmission power between microgrids, and establishes an optimal scheduling model for multi-microgrids based on cooperative game. A distribution method is proposed based on the interaction contribution of each microgrid, which overcomes the disadvantage the large amount of calculation allocated by the the Shapely value in the scenario of a large microgrid group. Furthermore, a stochastic programming model based on conditional value-at-risk is established considering the uncertainty of wind power and load in multi-microgrids. The simulation analysis shows that the model proposed is able to effectively reduce the scheduling costs of each microgrid and the total scheduling costs of the microgrid alliance, and at the same time reduce the impact on the power interaction of the main network. The CVaR we consider also provides a reference scheme for the trade-off between economic benefits and risk level of the multi-microgrid system.