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首页> 外文期刊>International journal of intelligent engineering informatics >Economic load dispatch problem using spider monkey optimisation algorithm
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Economic load dispatch problem using spider monkey optimisation algorithm

机译:基于蜘蛛猴优化算法的经济负荷调度问题

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The coal reserves are lessening, and subsequently fuel prices are escalating now a days. Therefore, an appropriate schedule of generating units for thermal energy is indispensable to convince this rising load demand at minimum price by reducing generation cost is termed as economic load dispatch problem (ELDP). Spider monkey optimisation algorithm (SMOA) is implied to execute ELDP. The proposed methodology considers transmission losses, prohibited operating zones (POZs), and multiple fuels constraints (MFCs). The experiments were executed over a variety of arrangements of a different number of generating units. The significance of the applied strategy to solve ELDP is analysed while assessing the reported results with other renowned methods.
机译:煤炭储量正在减少,随后燃料价格正在上涨。因此,通过降低发电成本,以最低价格说服这种不断增长的负荷需求,适当的热能发电机组计划是必不可少的,这被称为经济负荷调度问题(ELDP)。蜘蛛猴优化算法 (SMOA) 隐含在执行 ELDP 中。所提出的方法考虑了传输损耗、禁止工作区 (POZ) 和多种燃料约束 (MFC)。实验是在不同数量发电机组的各种布置上进行的。分析了应用策略解决ELDP的重要性,同时使用其他知名方法评估了报告的结果。

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