Autors: Postolov, B., Hinov, N. L., Iliev, A., Dimitrov, D.
Title: Short-Term Hydro-Thermal-Solar Scheduling with CCGT Based on Self-Adaptive Genetic Algorithm
Keywords: Genetic Algorithm; Hydro-Thermal-Solar; Optimization;

Abstract: 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.

References

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    , 2022, Switzerland, MDPI, Basel, Switzerland

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    Цитирания (Citation/s):
    1. Pech-Rodríguez, W. J., Rodríguez-Varela, F. J., Calles-Arriaga, C. A., & Armendáriz-Mireles, E. N., Practical approach to identify electrochemical parameter in aqueous Potassium ferricyanide by solving the multi-variable Cottrell equation via genetic algorithms, Revista Mexicana de Ingeniera Quimica, Volume 22, Issue 2, DOI 10.24275/RMIQ/SIM2387 - 2023 - в издания, индексирани в Scopus или Web of Science

    Вид: статия в списание, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus и Web of Science