A solution to the ramp rate and prohibited operating zone constrained unit commitment by GHS-JGT evolutionary algorithm |
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| Affiliation: | 1. From the Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA, United States;2. Environmental Toxicology Graduate Program, United States;3. Department of Chemistry, University of California, Riverside, CA, United States;1. Dipartimento di Architettura, University of Roma Tre, 00181 Rome, Italy;2. Department of Engineering, University of Roma Tre, 00146 Rome, Italy;3. Dipartimento di Ingegneria Strutturale e Geotecnica, Sapienza University of Rome, 00184 Rome, Italy;1. Anand Institute of Higher Technology, India;2. VIT University, India;3. SSN College of Engineering, India |
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| Abstract: | Unit commitment (UC) problem on a large scale with the ramp rate and prohibited zone constraints is a very complicated nonlinear optimization problem with huge number of constraints. This paper presents a new hybrid approach of ’Gaussian Harmony Search’ (GHS) and ’Jumping Gene Transposition’ (JGT) algorithm (GHS-JGT) for UC problem. In this proposed hybrid GHS-JGT for UC problem, scheduling variables are handled in binary form and other constants directly through optimum conditions in decimal form. The efficiency of this method is tested on ten units, forty units and hundred units test system. Simulation results obtained by GHS-JGT algorithm for each case show a better generation cost in less time interval, in comparison to the other existing results. |
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| Keywords: | Unit commitment Ramp rate Prohibited operating zone Gaussian harmony search Jumping gene transposition algorithm |
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