Economic dispatch using an efficient real-coded genetic algorithm
Economic dispatch using an efficient real-coded genetic algorithm
- Author(s): N. Amjady and H. Nasiri-Rad
- DOI: 10.1049/iet-gtd:20080469
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- Author(s): N. Amjady 1 and H. Nasiri-Rad 1
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View affiliations
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Affiliations:
1: Department of Electrical Engineering, Semnan University, Semnan, Iran
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Affiliations:
1: Department of Electrical Engineering, Semnan University, Semnan, Iran
- Source:
Volume 3, Issue 3,
March 2009,
p.
266 – 278
DOI: 10.1049/iet-gtd:20080469 , Print ISSN 1751-8687, Online ISSN 1751-8695
The authors present a new formulation of the economic dispatch (ED) problem considering more practical constraints and nonlinear characteristics than previous works in the area. The proposed formulation includes ramp rate limits, prohibited operating zones, system spinning reserve, valve loading effects, multiple fuel options, which usually be found simultaneously in realistic power systems. To solve the ED formulation, an efficient real-coded genetic algorithm (RCGA) with arithmetic-average-bound crossover and wavelet mutation is presented. To show the effectiveness of the solution method, it is applied to five test systems having non-convex solution spaces and compared with some of the most recently published approaches. The obtained results reveal the performance of the proposed RCGA.
Inspec keywords: power system economics; load dispatching; genetic algorithms; wavelet transforms
Other keywords:
Subjects: Power system management, operation and economics; Integral transforms; Optimisation techniques
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