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Combined economic and emission dispatch solution using Flower Pollination Algorithm

机译:基于花授粉算法的经济与排放联合调度解决方案

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摘要

Economic Load Dispatch (ELD) is the process of allocating the required load between the available generation units such that the cost of operation is minimized. The ELD problem is formulated as a nonlinear constrained optimization problem with both equality and inequality constraints. The dual-objective Combined Economic Emission Dispatch (CEED) problem is considering the environmental impacts that accumulated from emission of gaseous pollutants of fossil-fueled power plants. In this paper, an implementation of Flower Pollination Algorithm (FPA) to solve ELD and CEED problems in power systems is discussed. A comparison of the simulated results using the proposed FPA is carried out to confirm its effectiveness against other swarm intelligent algorithms for six various power systems. The superiority of the proposed FPA compared with other algorithms is demonstrated even for large scale power system considering valve point loading effect. (c) 2015 Elsevier Ltd. All rights reserved.
机译:经济负荷分配(ELD)是在可用发电单元之间分配所需负荷,从而使运营成本最小化的过程。 ELD问题被公式化为具有相等和不平等约束的非线性约束优化问题。双目标联合经济排放调度(CEED)问题正在考虑化石燃料发电厂的气态污染物排放所累积的环境影响。本文讨论了用花授粉算法(FPA)解决电力系统中ELD和CEED问题的实现。使用建议的FPA对仿真结果进行了比较,以确认其对六种不同电力系统的其他群智能算法的有效性。即使在考虑阀点负载效应的大型电力系统中,也证明了所提出的FPA与其他算法相比的优越性。 (c)2015 Elsevier Ltd.保留所有权利。

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