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Optimization of Unit Commitment Problem Using Genetic Algorithm

Optimization of Unit Commitment Problem Using Genetic Algorithm

Aniket Agarwal, Kirti Pal
Copyright: © 2021 |Volume: 10 |Issue: 3 |Pages: 17
ISSN: 2160-9772|EISSN: 2160-9799|EISBN13: 9781799858980|DOI: 10.4018/IJSDA.2021070102
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MLA

Agarwal, Aniket, and Kirti Pal. "Optimization of Unit Commitment Problem Using Genetic Algorithm." IJSDA vol.10, no.3 2021: pp.21-37. http://doi.org/10.4018/IJSDA.2021070102

APA

Agarwal, A. & Pal, K. (2021). Optimization of Unit Commitment Problem Using Genetic Algorithm. International Journal of System Dynamics Applications (IJSDA), 10(3), 21-37. http://doi.org/10.4018/IJSDA.2021070102

Chicago

Agarwal, Aniket, and Kirti Pal. "Optimization of Unit Commitment Problem Using Genetic Algorithm," International Journal of System Dynamics Applications (IJSDA) 10, no.3: 21-37. http://doi.org/10.4018/IJSDA.2021070102

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Abstract

The main objective of the paper is to minimize the use of conventional generators and optimize the fuel cost. To minimize the use of conventional generators, solar thermal power plant (STPP) is proposed in this paper. An approach for optimal location of STPP is also proposed in this paper. To minimize the fuel cost, firstly unit commitment (UC) is applied in conventional generators. Then genetic algorithm (GA) is used to optimize the fuel cost of committed generators. The suggested method is tested on an IEEE 14 bus test system for 24 hr. schedule with variable load. The effectiveness of the proposed methodology is illustrated in three cases. Case 1 is used to identify the STPP location to reduce the fuel cost of conventional generator. In Case 2, unit-commitment is applied to save considerable fuel input and cost. In order to optimize the committed fuel cost, a genetic algorithm is applied in Case 3.