水力发电2024，Vol.50Issue(7)：72-78,7.
水电站机组负荷分配中动态规划与遗传算法性能比较
Comparison of Dynamic Programming and Genetic Algorithm in Unit Economic Load Dispatching of Hydropower Station
摘要
Abstract
Taking the 26 units in Three Gorges Hydropower Station as the research background,the performance of Dynamic Programming(DP)and Genetic Algorithm(GA)in economic load dispatching of units is compared by numerical simulation method with the calculation accuracy,calculation time and algorithm stability as the evaluation indexes.Two comparable numerical experiment schemes are designed,one is to compare the time-cost under the assumption of setting same calculation precision,other is to compare the calculation precision under the assumption of setting same calculation time-cost.The relationship between the performance of DP and GA with the number of units are obtained.The results show that the performance of GA is better than that of DP when the number of units is less than 10,and is lower than that of DP when the number of units is more than 10.关键词
水电站/机组负荷优化分配/动态规划/遗传算法/数值试验Key words
hydropower station/unit economic load dispatching/Dynamic Programming/Genetic Algorithm/numerical simulation分类
建筑与水利引用本文复制引用
徐峥,邹昊轩,魏樱,全雨菲,任梓晨,周思盈,李梓瑞,李江缘..水电站机组负荷分配中动态规划与遗传算法性能比较[J].水力发电,2024,50(7):72-78,7.基金项目
国家重点研发计划资助项目(2021YFC3000104) （2021YFC3000104）
水利部重大科技项目(SKS-2022001 （）
SKS-2022013 （）
SKS-2022124) （）
