基于改进灰狼算法的并网交流微电网经济优化调度

为了提高微电网的日运转经济效益，本文构建了并网模式下交流微电网运转结构图，建立了并网模式下交流微电网日优化经济调度数学模型，该模型包含有多个子目标函数、多个约束条件。针对传统灰狼优化算法无法很好均衡算法的全局寻优能力和局部寻优能力，寻优精度差的问题，引进一种基于非线性变化的收敛因子均衡算法的全局寻优能力和局部寻优能力，从而提高灰狼算法的寻优精度。采用改进的灰狼算法和原始灰狼算法对四个基准测试函数进行仿真，实验结果表明改进灰狼算法相较于原始灰狼算法能够获得更优解，初步证实了改进灰狼算法的可行性及优越性，再将改进灰狼算法和原始灰狼算法分别应用于并网模式下交流微电网日优化数学模型求解，通过对仿真结果对比分析，证实了改进灰狼算法的确能够更好的提高并网模式下交流微电网的日运转经济效益。

Economic optimization scheduling of grid-connected ac microgrid based on improved gray wolf algorithm

In order to improve the economic benefits of daily operation of the microgrid, this paper constructs the operation structure diagram of the AC microgrid in grid-connected mode, and establishes a mathematical model of daily optimal economic dispatch of the AC microgrid in grid-connected mode. The model contains multiple sub-objective functions, multiple Constraints. Aiming at the problem that the traditional gray wolf optimization algorithm cannot well balance the global and local optimization capabilities and poor optimization accuracy of the algorithm, a global optimization capability and local optimization of the convergence factor equilibrium algorithm based on nonlinear changes are introduced. Ability to improve the optimization accuracy of the gray wolf algorithm. The improved gray wolf algorithm and the original gray wolf algorithm are used to simulate the four benchmark test functions. The experimental results show that the improved gray wolf algorithm can obtain a better solution than the original gray wolf algorithm, and the feasibility of the improved gray wolf algorithm is initially confirmed. And superiority, and then the improved gray wolf algorithm and the original gray wolf algorithm were applied to solve the daily optimization mathematical model of the AC microgrid under grid connection mode. By comparing and analyzing the simulation results, it was confirmed that the improved gray wolf algorithm can indeed improve the Economic benefits of daily operation of AC microgrids in grid-connected mode.