微型电脑应用2025，Vol.41Issue(4)：180-183,188,5.
多源互补微电网能量智能预测方法
Intelligent Energy Prediction Method for Multi-source Complementary Microgrid
解伟 1杜海红 1潘文明 1李建泽 1朱明星1
作者信息
- 1. 国网安徽省电力有限公司,安徽,合肥 230061||国网安徽省电力有限公司蚌埠供电公司,安徽,蚌埠 233000
- 折叠
摘要
Abstract
Accurate energy prediction of multi-source complementary microgrid is helpful for power grid enterprises and users to make reasonable power plan.To improve the accuracy of wind and PV forecasts,an improved fruit fly optimization algorithm(MFOA)is used to optimize kernel extreme learning machine(KELM)for energy prediction of multi-source complementary microgrids.In order to improve the convergence accuracy of the FOA algorithm and avoid local optima,the method of weight update and distance expansion is used to improve the fruit fly optimization algorithm(FOA).Standard test functions are select-ed to simulate and compare the MFOA algorithm,and the results verify that the proposed algorithm can improve the conver-gence accuracy and convergence speed of FOA.The regularization coefficient C and kernel function parameters of traditional KELM are optimized by the improved MFOA to improve the prediction accuracy of KELM.The prediction accuracy of MFOA-KELM is compared with UCI data,and the results verify the feasibility of the scheme.A prediction model of multi-source com-plementary microgrid based on improved MFOA-KELM is established,and compared with PSO-KELM and KELM.The simu-lation results verify that the proposed algorithm has the minimum prediction error.关键词
多源互补微电网/果蝇算法/核极限学习机/预测模型Key words
multi-sourle complementary microgrid/fruit fly algorithm/kernel extreme learning machine/prediction model分类
信息技术与安全科学引用本文复制引用
解伟,杜海红,潘文明,李建泽,朱明星..多源互补微电网能量智能预测方法[J].微型电脑应用,2025,41(4):180-183,188,5.
