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Subramanian R, Thanushkodi K, Prakash A. An Efficient Meta Heuristic Algorithm to Solve Economic Load Dispatch Problems. IJEEE. 2013; 9 (4) :246-252
URL: http://ijeee.iust.ac.ir/article-1-559-fa.html
An Efficient Meta Heuristic Algorithm to Solve Economic Load Dispatch Problems. . 1392; 9 (4) :246-252

URL: http://ijeee.iust.ac.ir/article-1-559-fa.html


چکیده:   (10154 مشاهده)
The Economic Load Dispatch (ELD) problems in power generation systems are to reduce the fuel cost by reducing the total cost for the generation of electric power. This paper presents an efficient Modified Firefly Algorithm (MFA), for solving ELD Problem. The main objective of the problems is to minimize the total fuel cost of the generating units having quadratic cost functions subjected to limits on generator true power output and transmission losses. The MFA is a stochastic, Meta heuristic approach based on the idealized behaviour of the flashing characteristics of fireflies. This paper presents an application of MFA to ELD for six generator test case system. MFA is applied to ELD problem and compared its solution quality and computation efficiency to Genetic algorithm (GA), Differential Evolution (DE), Particle swarm optimization (PSO), Artificial Bee Colony optimization (ABC), Biogeography-Based Optimization (BBO), Bacterial Foraging optimization (BFO), Firefly Algorithm (FA) techniques. The simulation result shows that the proposed algorithm outperforms previous optimization methods.
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نوع مطالعه: Research Paper | موضوع مقاله: 1-Power Systems Operation
دریافت: ۱۳۹۱/۱۲/۲۰ | پذیرش: ۱۳۹۲/۱۰/۱ | انتشار: ۱۳۹۲/۱۰/۱

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