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Economic Dispatch Using Modified Bat Algorithm

Energy Department, AIT Austrian Institute of Technology, Vienna 1210, Austria
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Algorithms 2014, 7(3), 328-338; https://doi.org/10.3390/a7030328
Received: 17 April 2014 / Revised: 11 June 2014 / Accepted: 25 June 2014 / Published: 3 July 2014
Economic dispatch is an important non-linear optimization task in power systems. In this process, the total power demand is distributed amongst the generating units such that each unit satisfies its generation limit constraints and the cost of power production is minimized. This paper presents an over view of three optimization algorithms namely real coded genetic algorithm, particle swarm optimization and a relatively new optimization technique called bat algorithm. This study will further propose modifications to the original bat. Simulations are carried out for two test cases. First is a six-generator power system with a simplified convex objective function. The second test case is a five-generator system with a non-convex objective function. Finally the results of the modified algorithm are compared with the results of genetic algorithm, particle swarm and the original bat algorithm. The results demonstrate the improvement in the Bat Algorithm. View Full-Text
Keywords: economic dispatch; genetic algorithm (GA); particle swarm optimization (PSO); bat algorithm (BA); modified bat algorithm (MBA); non-convex optimization economic dispatch; genetic algorithm (GA); particle swarm optimization (PSO); bat algorithm (BA); modified bat algorithm (MBA); non-convex optimization
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MDPI and ACS Style

Latif, A.; Palensky, P. Economic Dispatch Using Modified Bat Algorithm. Algorithms 2014, 7, 328-338. https://doi.org/10.3390/a7030328

AMA Style

Latif A, Palensky P. Economic Dispatch Using Modified Bat Algorithm. Algorithms. 2014; 7(3):328-338. https://doi.org/10.3390/a7030328

Chicago/Turabian Style

Latif, Aadil, and Peter Palensky. 2014. "Economic Dispatch Using Modified Bat Algorithm" Algorithms 7, no. 3: 328-338. https://doi.org/10.3390/a7030328

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