基于改进哈里斯鹰优化算法的微电网优化调度

Optimal Dispatching of Microgrid Based on Improved Harris Hawks Optimization Algorithm

为了提高风电和光伏发电的利用率,降低微电网运行成本,以微电网总成本最小为目标函数,全面考虑发电、储能、售电、购电各类约束条件,建立微电网优化调度模型。利用佳点集映射和高斯-柯西变异扰动两种策略对哈里斯鹰优化算法进行改进,用于微电网优化调度模型的求解。仿真结果证实改进哈里斯鹰优化算法收敛速度显著提高,微电网经过优化调度后运行成本更低,风能、太阳能等可再生能源的利用率更高。

To enhance the utilization rate of wind and photovoltaic power and reduce the operating costs of microgrids,a microgrid optimal dispatching model has been established by taking the minimum total costs of the microgrid as the objective function,as well as comprehensively considering various constraints in power generation,energy storage,electricity sale,and electricity purchase.The Harris hawks optimization algorithm is improved for solving the microgrid optimal dispatching model with two strategies,namely,the best point set mapping and Gaussian-Cauchy mutation perturbation.The simulation results confirm that the improved Harris hawks optimization algorithm significantly improves the convergence speed,with lower operating costs and higher utilization of renewable energy sources such as wind and solar energy after optimal dispatching of the microgrid.