2014 IEEE 8th International Power Engineering and Optimization Conference (PEOCO2014) 2014
DOI: 10.1109/peoco.2014.6814462
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Implementation of hybrid particle swarm optimization for combined Economic-Emission Load Dispatch Problem

Abstract: This paper presents the implementation of hybrid particle swarm optimization for solving Economic-Emission Load Dispatch Problem (EELD). Due to environmental issues, the environmental pollution releases by thermal power generation should be considered in power dispatch planning instead of minimizing the total fuel cost only. Significant emission reduction can be achieved by performing the emission power dispatch. In this study, the hybrid Evolutionary programming (EP) and Particle Swarm Optimization (PSO) name… Show more

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Cited by 2 publications
(3 citation statements)
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“…4) Cost function with emissions of harmful gases in the environment: Thermal power plants emit harmful gases in the environment constantly [21], [22]. A penalty is imposed by the authorities to limit emission to the minimum level.…”
Section: ) Cost Function With Valve-point Effects and Multiple Fuel I...mentioning
confidence: 99%
See 1 more Smart Citation
“…4) Cost function with emissions of harmful gases in the environment: Thermal power plants emit harmful gases in the environment constantly [21], [22]. A penalty is imposed by the authorities to limit emission to the minimum level.…”
Section: ) Cost Function With Valve-point Effects and Multiple Fuel I...mentioning
confidence: 99%
“…In eqn. (21), k is the current iteration count whereas M axite is the maximum iteration count set. The value of inertial factor w is used to decrease linearly from w max to w min as the iteration increases.…”
Section: A Time Varying Inertial Weight Of Psomentioning
confidence: 99%
“…Traditionally, CEELD was solved by applying mathematical programming-based optimization such as Linear programming (LP), gradient method (GM) and Quadratic programming (QP) which dependent to the convexity and continuity of the objective function [1]. Thus, there are various meta-heuristic approaches have been proposed in literature to solve CEELD problems such as Flower Pollination Algorithm (FPA) [2], Biogeography Based Optimization (BBO) [3], Cuckoo Search Algorithm (CSA) [4], Genetic Algorithm (GA) [5], Ant Colony Optimization (ACO) [6], Symbiotic Organisms Search (SOS) algorithm [7], Spider Monkey Optimization (SMO) [8] and many more.…”
mentioning
confidence: 99%