人民黄河2024，Vol.46Issue(5)：158-162,5.DOI:10.3969/j.issn.1000-1379.2024.05.026
基于改进人工电场算法的泵站优化调度
Optimal Scheduling of Pumping Stations Based on Improved Artificial Electric Field Algorithm
摘要
Abstract
Aiming at the problem of low operating efficiency and high energy consumption of large pumping stations in China,considering the loss of motor and frequency converter,combined with time-of-use electricity price,a model of minimumdaily operating tariff of pumping sta-tions was established,and artificial electric field algorithm(AEFA)was adopted to solve it.Due to the calculation method for the original gravitational constant leads to premature algorithms and a tendency to fall into local optima,chaotic mapping was introduced for improving the algorithm.Combined with the calculation and solution of a pump station project in Shanxi Province,the results show that the energy saving rate of the artificial electric field algorithm optimization scheme can reach 5.7%-11.3%compared with the actual operation scheme,and the energy saving rate of the improved artificial electric field algorithm optimization scheme can reach 9.9%-28.4%compared with the actual op-eration scheme.After the improvement of the algorithm,the calculation accuracy,stability and calculation time are better.关键词
人工电场算法/混沌映射/引力常数/泵站优化调度Key words
artificial electric field algorithm/chaotic mapping/gravitational constant/pumping station optimization scheduling分类
建筑与水利引用本文复制引用
原志丹,赵喜萍,王宇君,李智,谢洪..基于改进人工电场算法的泵站优化调度[J].人民黄河,2024,46(5):158-162,5.基金项目
山西省万家寨引黄入晋二期扩机全系统调度运行一体化平台项目(国家发改农经[2008]2531号) （国家发改农经[2008]2531号）
