Combined economic and emission dispatch solution using Flower Pollination Algorithm
Combined economic and emission dispatch solution using Flower Pollination Algorithm
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DOI：
10.1016/j.ijepes.2015.11.093
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发表时间：
2016-09-01
影响因子：
5.2
通讯作者：
Abd Elazim, S. M.
中科院分区：
文献类型：
--
作者：
Abdelaziz, A. Y.;Ali, E. S.;Abd Elazim, S. M.
经济负荷分配(ELD)是在可用发电机组之间分配所需负荷以使运行成本最小化的过程。将ELD问题表示为同时具有等式约束和不等式约束的非线性约束优化问题。双目标联合经济排放调度(CEED)问题考虑了化石燃料电厂气体污染物排放所累积的环境影响。本文讨论了花卉授粉算法(FPA)在电力系统中求解ELD和CEED问题的实现方法。在6个不同的电力系统中，将该算法与其他群体智能算法的仿真结果进行了比较，验证了其有效性。在考虑阀点负荷影响的大规模电力系统中，本文提出的FPA算法与其他算法相比具有一定的优越性。(C)2015爱思唯尔有限公司。保留所有权利。
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.