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GA-based fuzzy logic control of a solar power plant using distributed collector fields

Author

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  • Luk, P.C.K.
  • Low, K.C.
  • Sayiah, A.

Abstract

A novel genetic algorithm (GA) based fuzzy logic control (FLC) system has been developed for the solar power plant, Plataforma Solar de Almería (PSA) at Tabernas, in Almería, Spain. The rule base encompasses an empirical set of 49 “if-then” rules. Chromosomes consisting of 49 genes of 5-bit data are created to link to the rule base. The 5-bit data of each gene represents the stength of the corresponding ‘If-Then’ rule. The GA performs the basic operations of reproduction, crossover and mutation on a pool of chromosomes to search for the best rule base which optimises the response time of the plant to input temperature or power demand by controlling the distributed collector field of the plant. The collect field is essentially an array of parabolic mirrors and oil pipes in which the transversal of solar energy takes place. Simulation results on the plant with an optimised rule-base using the 100th generation of the chromosome show that the proposed GA-FLC scheme gives a better and more robust performance of the plant than other schemes previously implemented.

Suggested Citation

  • Luk, P.C.K. & Low, K.C. & Sayiah, A., 1999. "GA-based fuzzy logic control of a solar power plant using distributed collector fields," Renewable Energy, Elsevier, vol. 16(1), pages 765-768.
    • Handle: RePEc:eee:renene:v:16:y:1999:i:1:p:765-768
    DOI: 10.1016/S0960-1481(98)00275-4
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    Cited by:

    1. Shivashankar Sukumar & Marayati Marsadek & Agileswari Ramasamy & Hazlie Mokhlis & Saad Mekhilef, 2017. "A Fuzzy-Based PI Controller for Power Management of a Grid-Connected PV-SOFC Hybrid System," Energies, MDPI, vol. 10(11), pages 1-17, October.
    2. Torkfar, Arman & Arefian, Amir & Hosseini-Abardeh, Reza & Bahrami, Mohsen, 2023. "Implementation of active and passive control strategies for power generation in a solar chimney power plant: A technical evaluation of Manzanares prototype," Renewable Energy, Elsevier, vol. 216(C).
    3. Suganthi, L. & Iniyan, S. & Samuel, Anand A., 2015. "Applications of fuzzy logic in renewable energy systems – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 585-607.

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