摘要
为了提高微电网的日运转经济效益,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,解决寻优精度差的问题,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地提高并网模式下交流微电网的日运转经济效益。
In order to improve the economic benefits of daily operation of the microgrid,the operation structure diagram of the alternating current(AC)microgrid in grid-connected mode was constructed,and a mathematical model of daily optimal economic dispatch of the AC microgrid in grid-connected mode was established.The model contained many sub-objective functions and constraints.The traditional gray wolf optimization algorithm could not balance the global and local optimization capabilities and poor optimization accuracy of the algorithm.To deal with it,a global optimization capability and local optimization of the convergence factor equilibrium algorithm based on nonlinear changes were introduced to improve the optimization accuracy of the gray wolf algorithm.The improved gray wolf algorithm and the original gray wolf algorithm were 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,indicating the feasibility and superiority of the improved gray wolf algorithm.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.Through the comparison of the simulation results,it is confirmed that the improved gray wolf algorithm can indeed improve the economic benefits of daily operation of AC microgrids in grid-connected mode.
作者
高瑜
黄森
陈刘鑫
黄军虎
GAO Yu;HUANG Sen;CHEN Liu-xin;HUANG Jun-hu(School of Electrical and Control Engineering,Xi an University of Science and Technology,Xi an 710054,China;State Grid Shaanxi Hanzhong Power Supply Company,Hanzhong 723000,China)
出处
《科学技术与工程》
北大核心
2020年第28期11605-11611,共7页
Science Technology and Engineering
关键词
微电网
优化调度
灰狼优化算法
收敛因子
micro grid
optimal operation
grey wolf optimizer
convergence factor
作者简介
第一作者:高瑜(1978-),男,汉族,陕西横山人,高级工程师。研究方向:新能源应用。E-mail:312939249@qq.com。
