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Economic Emission Load Dispatch using Fuzzy Decision based Whale Algorithm

机译:基于模糊决策的鲸鱼算法的经济排放负荷调度

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In this research paper a recently developed meta-heuristic technique whale algorithm with fuzzy decision making is proposed to solve the Economic emission load dispatch which focuses on optimizing the generation cost and emission function. Economic and emission both objectives are conflicting in nature so this is a multi-objective optimization problem known as multi-objective economic load dispatch (MELD). In this work fuzzy decision making is used to decide optimum point between these objectives. Transmission losses and valve pointing loading are taken into account with MELD to provide practical application to the proposed method. Penalty membership function is used to handle the equality constraints. Proposed approach of MELD is applied to six and ten unit generating systems.
机译:为了解决经济排放负荷的调度问题,提出了一种新近发展的带有模糊决策的元启发式鲸鱼算法,其重点是优化发电成本和排放函数。经济目标和排放目标在本质上是矛盾的,因此这是一个多目标优化问题,称为多目标经济负荷分配(MELD)。在这项工作中,模糊决策用于确定这些目标之间的最佳点。 MELD考虑了传动损失和气门指向载荷,为所提出的方法提供了实际应用。惩罚隶属度函数用于处理相等性约束。 MELD的建议方法适用于六个和十个单元发电系统。

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