基于WOA-BAT的多能源微电网优化调度

Optimal dispatch of multi-energy microgrid based on WOA-BAT

为了提高微电网日常运行的经济性和环保性,以及解决鲸鱼算法(WOA)收敛速度较慢、易陷入局部最优的问题,提出了一种鲸鱼-蝙蝠算法(WOA-BAT)。首先,建立微电网优化调度模型,在模型中引入BAT算法对WOA算法进行优化;其次,将鲸鱼觅食行为和蝙蝠搜索策略相结合,将WOA-BAT算法用于仿真微电网并网模式下的多目标优化调度。仿真结果表明:WOA-BAT算法相比于传统的WOA、BAT和粒子群优化算法(PSO),能有效提高微电网日运行总效益及系统运行稳定性。

To improve the economy and environmental protection of the daily operation of the microgrids,and solve the problem of slow convergence speed and easy falling into the local optimum of whale algorithm(WOA),a Whale-bat algorithm(WOA-BAT)is proposed.First,a microgrid optimization scheduling model is established,and the BAT algorithm is introduced into the model to optimize the WOA algorithm.Second,the whale foraging behavior and bat search strategy are combined.Finally,the WOA-BAT algorithm is used to simulate the multi-objective optimization scheduling problem in the microgrid grid-connected mode.The simulation results show that compared with the traditional WOA,BAT and particle swarm optimization(PSO)algorithms,the WOA-BAT algorithm can effectively improve the total daily operation benefits of the microgrid and the system operation stability.