基于改进天鹰优化算法的微电网多目标优化调度研究

Research on Multi-Objective Optimal Dispatch of Microgrid with Improved Aquila Optimizer Algorithm

微电网优化调度对降低企业用电费用,减少能源损耗和环境污染具有重要意义。研究了覆盖光伏、风电、储能、燃气轮机和柴油发电机的分布式电源,在微电网并网运行的情况下,为协调系统内部各微电源的出力情况,对光伏发电、风力发电和用电负荷功率进行预测,建立了以运行成本和污染治理费用最低的目标函数,并采用改进天鹰优化算法(IAO)进行求解,求得不同分布式电源和大电网的出力情况。仿真结果表明,该模型在保证用户持续供电的情况下,可以在一定程度上有效降低企业用户的用电成本以及减少污染物的排放,为微电网实际运行的功率分配提供指导。

The optimal dispatch of microgrid is an indispensable part of smart grid optimization,which is of great significance to reduce electricity costs of enterprises,energy consumption and environmental pollution.In this paper,the distributed power supply covering photovoltaic,wind power,energy storage,gas turbine and diesel generator is studied.In the case of grid-connected operation of microgrid,in order to coordinate the output of various micro power sources in the system,the photovoltaic power generation,wind power generation and electricity load power are predicted,and the objective function with the lowest operating cost and pollution control cost is established.The Improved Aquila Optimizer(IAO)algorithm is used to solve the problem to obtain the output of different distributed generators and large power grids.The simulation results show that the model can effectively reduce the electricity cost and pollutant emission of enterprise users to a certain extent under the condition of ensuring continuous power supply for users,and provide guidance for the power allocation of microgrid in actual operation.