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Cuckoo Search Algorithm for Hydrothermal Scheduling Problem

Cuckoo Search Algorithm for Hydrothermal Scheduling Problem

Thang Trung Nguyen, Dieu Ngoc Vo
Copyright: © 2016 |Pages: 34
ISBN13: 9781466696440|ISBN10: 1466696443|EISBN13: 9781466696457
DOI: 10.4018/978-1-4666-9644-0.ch014
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MLA

Nguyen, Thang Trung, and Dieu Ngoc Vo. "Cuckoo Search Algorithm for Hydrothermal Scheduling Problem." Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics, edited by Pandian Vasant, et al., IGI Global, 2016, pp. 367-400. https://doi.org/10.4018/978-1-4666-9644-0.ch014

APA

Nguyen, T. T. & Vo, D. N. (2016). Cuckoo Search Algorithm for Hydrothermal Scheduling Problem. In P. Vasant, G. Weber, & V. Dieu (Eds.), Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics (pp. 367-400). IGI Global. https://doi.org/10.4018/978-1-4666-9644-0.ch014

Chicago

Nguyen, Thang Trung, and Dieu Ngoc Vo. "Cuckoo Search Algorithm for Hydrothermal Scheduling Problem." In Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics, edited by Pandian Vasant, Gerhard-Wilhelm Weber, and Vo Ngoc Dieu, 367-400. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-4666-9644-0.ch014

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Abstract

This chapter proposes a Cuckoo Search Algorithm (CSA) and a Modified Cuckoo Search Algorithm (MCSA) for solving short-term hydrothermal scheduling (ST-HTS) problem. The CSA method is a new meta-heuristic algorithm inspired from the obligate brood parasitism of some cuckoo species by laying their eggs in the nests of other host birds of other species for solving optimization problems. In the MCSA method, the eggs are first classified into two groups in which ones with low fitness function are put in top group whereas others with higher fitness function are put in abandoned group. In addition, an updated step size in the MCSA changes and tends to decrease as the iteration increases leading to near global optimal solution. The robustness and effectiveness of the CSA and MCSA are tested on several systems with different objective functions of thermal units. The results obtained by the CSA and MCSA are analyzed and compared have shown that the two methods are favorable for solving short-term hydrothermal scheduling problems.

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