基于数据更新长短期记忆网络的多能源微网集群优化调度方法

Considering the uncertainty brought by high proportion of new energy supply and change in multi-source loads to multi-energy microgrid, this paper proposed a method of using long short-term memory networks to solve the optimization scheduling problem of multi energy microgrid clusters based on historical operating data of multi-energy microgrids. Firstly, a multi-energy microgrid cluster model was established in this paper. Then, considering the impact of historical data on load demand and new energy output, a data updating long short-term memory network multi-energy microgrid cluster optimization scheduling model was established. Finally, the simulation result shows that the proposed scheduling method can effectively improve the economy and accuracy of multi-energy microgrid cluster scheduling compared to traditional physical scheduling methods.