Dispatch of hydroelectric generating units using multiobjective evolutionary algorithms
Dispatch of hydroelectric generating units using multiobjective evolutionary algorithms
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DOI：
10.1109/tdc.2004.1432507
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发表时间：
2004-11
期刊：
影响因子：
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通讯作者：
C.M. Villasanti;C. von Lucken;B. Barán
中科院分区：
文献类型：
--
作者：
C.M. Villasanti;C. von Lucken;B. Barán
本文提出了使用多目标进化算法（MOEAs）解决水电机组的多目标优化调度。所考虑的目标是：最大化的系统效率和最小化的启动/关闭的发电机组的成本。将两种具有代表性的MOEA算法与启发式方法相结合，求解了一个水电站的优化调度问题。实现的算法是：强度帕累托进化算法（SPEA）和非支配排序遗传算法II（NSGA-II）。实验结果表明，MOEA能够提供几个替代的时间表的决策者。此外，对于所考虑的调度问题，SPEA提出了一个比NSGA-II大的替代时间表。
This paper proposes the use of multiobjective evolutionary algorithms (MOEAs) to solve an optimal multiobjective dispatch of hydroelectric generating units. The considered objectives are: maximization of the system efficiency and minimization of the startup/shutdown cost of generating units. Two representative MOEAs were combined with a heuristic approach to solve an optimal dispatch problem applied to a hydroelectric plant. Implemented algorithms are: the Strength Pareto Evolutionary algorithm (SPEA) and the Nondominated Sorting Genetic Algorithm II (NSGA-II). Experimental results show that MOEAs are able to provide several alternative schedules to the decision maker. In addition, for the considered dispatch problem, SPEA proposes a large set of alternative schedules than the NSGA-II.