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Economic Load Dispatch Problem with Reduce Power Losses using Firefly Algorithm

Author(s): Kuldeep Kumar Swarnkar

Journal: Journal of Advanced Computer Science & Technology
ISSN 2227-4332

Volume: 1;
Issue: 2;
Start page: 42;
Date: 2012;
Original page

This paper presents an Efficient and Reliable Firefly Algorithm (FA) for solving Economic Load Dispatch Problem with Reduce Power Losses (ELD). The main objective is to minimize the total fuel cost of the generating units having quadratic cost characteristics subjected to limits on generator True power output & transmission losses. It has been achieved by using optimization techniques such as dynamic programming, integer programming, and mixedinteger non linear programming. On the other hand, a broad class of Meta heuristics has been developed for reliability-redundancy optimization. Recently, a new meta-heuristics called Firefly Algorithm (FA) algorithm has emerged. The FA is a stochastic Meta heuristic approach based on the idealized behavior of the flashing characteristics of fireflies. This paper presents an application of the Firefly Algorithm (FA) to ELD for different Test Case system. ELD is applied and compared its solution quality and computation efficiency to Genetic algorithm (GA), Particle swarm optimization (PSO), Artificial Bee Colony optimization (ABC), Biogeography-Based Optimization (BBO) and Bacterial Foraging algorithms (BFA) and other optimization techniques. The simulation results show that the proposed algorithm outperforms previous optimization methods. Keywords- Firefly Algorithm ; Economic load dispatch; Genetic algorithm; Particle swarm optimization; Artificial Bee Colony optimization; Biogeography-Based Optimization ; Bacterial Foraging algorithms.
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