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
原志丹 1赵喜萍 1王宇君 1李智 2谢洪2
作者信息
- 1. 太原理工大学 水利科学与工程学院,山西 太原 030024
- 2. 山西东山供水工程建设管理有限公司,山西 太原 030024
- 折叠
摘要
针对我国大型泵站运行效率不高、耗能大的问题,考虑电机和变频器的损耗,结合分时电价,建立泵站日运行电价最小的优化模型,采用人工电场算法(AEFA)求解.针对原始引力常数的计算方法会导致算法早熟和易陷入局部最优的问题,引入混沌映射进行改进.以山西省万家寨三级泵站为例计算求解,结果表明:与实际运行方案相比,人工电场算法优化方案节能率为 5.7%～11.3%,改进后的人工电场算法优化方案节能率为 9.9%～28.4%.算法改进后在计算精度、稳定性、计算时长方面都表现较好.
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引用本文复制引用
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)
出版年
2024
国家科技期刊平台
NSTL
万方数据