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Modified honey bees mating algorithm for optimal weekly operation of a pumped storage plant

机译:改进的蜜蜂交配算法,用于抽水蓄能电站的最佳每周运行

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In this paper, a version of the Honey Bees Mating Optimization (HBMO) algorithm is used in connection with the weekly optimal operation of a hydro-system including three reservoirs, two hydropower plants (HPPs) and a pumped storage plant (PSP), as the proposed project Fântânele-Tarniţa-Lăpuşteşti. Using the same mathematical model and input data, the results obtained by HBMO in 10 runs are compared with the ones produced by a genetic algorithm (GA) - based model in 30 runs and statistically analyzed in a previous paper. The maximum weekly net income from produced/consumed energies was selected as objective function. Any gain from ancillary services is not considered. At the closing market prices from 2014, the HBMO version seems to be substantially better than the GA model.
机译:在本文中,使用了蜜蜂交配优化(HBMO)算法的一种版本,该算法与包括三个水库,两个水力发电厂(HPP)和一个抽水蓄能电站(PSP)的水力系统的每周最佳运行联系在一起,例如提议的项目Fântânele-Tarniţa-Lăpuşteşti。使用相同的数学模型和输入数据,将HBMO在10次运行中获得的结果与基于遗传算法(GA)的30次运行所产生的结果进行比较,并在先前的论文中进行了统计分析。选择每周最大的来自生产/消耗能源的净收入作为目标函数。不考虑从辅助服务中获得的任何收益。从2014年的收盘价来看,HBMO版本似乎比GA模型要好得多。

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