LAPSE:2023.25230
Published Article
LAPSE:2023.25230
Short-Term Hydro-Thermal-Solar Scheduling with CCGT Based on Self-Adaptive Genetic Algorithm
Borche Postolov, Nikolay Hinov, Atanas Iliev, Dimitar Dimitrov
March 28, 2023
This paper presents a new metaheuristic approach based on a self-adaptive genetic algorithm (SAGA) for solving the short-term hydro-thermal-solar scheduling with combined-cycle (CCGT) units. First of all, the proposed approach is applied to a test system with different characteristics, considering the valve-point effect. The simulation results obtained from the new SAGA are compared with the results obtained from some other metaheuristic methods, such as AIS, DE, and EP to reveal the validity and verify the feasibility of the proposed approach. The test results show that the proposed metaheuristic approach proves the effectiveness and superiority of the SAGA algorithm for solving the short-term hydro-thermal-solar scheduling (SHTSS) problem.
Keywords
Genetic Algorithm, hydrothermal scheduling, Laplace crossover, MPTM mutation, self-adaptive penalty
Suggested Citation
Postolov B, Hinov N, Iliev A, Dimitrov D. Short-Term Hydro-Thermal-Solar Scheduling with CCGT Based on Self-Adaptive Genetic Algorithm. (2023). LAPSE:2023.25230
Author Affiliations
Postolov B: Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University, Ruger Boshkovikj 18, P.O. Box 574 Skopje, North Macedonia
Hinov N: Faculty of Electronic Engineering and Technologies, Technical University of Sofia, 8 Kl. Ohridski Blvd, 1000 Sofia, Bulgaria [ORCID]
Iliev A: Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University, Ruger Boshkovikj 18, P.O. Box 574 Skopje, North Macedonia
Dimitrov D: Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University, Ruger Boshkovikj 18, P.O. Box 574 Skopje, North Macedonia
Journal Name
Energies
Volume
15
Issue
16
First Page
5989
Year
2022
Publication Date
2022-08-18
Published Version
ISSN
1996-1073
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Original Submission
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PII: en15165989, Publication Type: Journal Article
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LAPSE:2023.25230
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doi:10.3390/en15165989
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