摘要
针对微电网的经济优化调度问题,笔者提出一种基于改进蚁群优化算法的微电网多目标优化调度策略。结合微电网中各发电单元的发电特性,构建微电网多目标优化调度模型,对蚁群优化算法存在的不足进行改进,并采用Matlab对所提出的优化策略进行验证。结果表明:改进蚁群优化算法的寻优性能和收敛性能均明显优于蚁群优化算法的,寻优迭代次数减少了87%;改进蚁群优化算法能显著降低微电网的总运行成本,且各微电源出力情况也符合其工作特性。该策略对微电网实际优化调度具有一定的参考价值和指导作用。
Aiming at the economic optimal scheduling problem of microgrid,a multiobjective optimal scheduling strategy of microgrid based on improved ant colony optimization is proposed.Combined with the power generation characteristics of each power generation unit in the microgrid,a multiobjective optimal scheduling model of the microgrid is constructed to improve the shortcomings of the ant colony optimization,and the proposed optimization strategy is verified by Matlab.The results show that the optimization performance and convergence performance of the improved ant colony optimization are significantly better than those of the ant colony optimization,and the number of optimization iterations is reduced by 87%.The improved ant colony optimization can significantly reduce the total operating cost of the microgrid,and the output of each micro power supply is also in line with its working characteristics.This strategy has certain reference value and guiding role for the actual optimal dispatching of microgrid.
作者
于晓丹
YU Xiaodan(Liuzhou Railway Vocational Technical College,Liuzhou 545616 China)
出处
《红水河》
2024年第5期115-121,共7页
基金
2023年度广西高校中青年教师科研基础能力提升项目(2023KY1441)。
关键词
微电网
蚁群优化算法
多目标优化
优化调度
microgrid
ant colony optimization
multiobjective optimization
optimal scheduling
