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An application of grey wolf optimisation for combined heat and power dispatch

Author

Listed:
  • N. Jayakumar
  • S. Subramanian
  • E.B. Elanchezhian
  • S. Ganesan

Abstract

The purpose of this paper is to obtain the best feasible solution for combined heat and power dispatch (CHPD) problems. Being inspired by the hunting and searching behaviours of grey wolves, a swarm intelligence algorithm, grey wolf optimisation (GWO) has been developed and is used as an optimisation tool for the chosen problem. In addition to the nonlinear and non-convex operational characteristics of generating units, the practical operational constraints such as feasible operating regions of cogenerators, prohibited operating zones of thermal generators are considered. The GWO is implemented in the standard test systems for economic and combined economic emission dispatch operations. The obtained results are higher, feasible than or as good as the best known solutions by state-of-the-art algorithms reported in the literature. It is evident that the GWO attains a high quality solution to CHPD problems.

Suggested Citation

  • N. Jayakumar & S. Subramanian & E.B. Elanchezhian & S. Ganesan, 2015. "An application of grey wolf optimisation for combined heat and power dispatch," International Journal of Energy Technology and Policy, Inderscience Enterprises Ltd, vol. 11(2), pages 183-206.
    • Handle: RePEc:ids:ijetpo:v:11:y:2015:i:2:p:183-206
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    Citations

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    Cited by:

    1. Nazari-Heris, M. & Mohammadi-Ivatloo, B. & Gharehpetian, G.B., 2018. "A comprehensive review of heuristic optimization algorithms for optimal combined heat and power dispatch from economic and environmental perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2128-2143.
    2. Ali Sulaiman Alsagri & Abdulrahman A. Alrobaian, 2022. "Optimization of Combined Heat and Power Systems by Meta-Heuristic Algorithms: An Overview," Energies, MDPI, vol. 15(16), pages 1-34, August.
    3. Golmohamadi, Hessam & Larsen, Kim Guldstrand & Jensen, Peter Gjøl & Hasrat, Imran Riaz, 2022. "Integration of flexibility potentials of district heating systems into electricity markets: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    4. Kumar Jadoun, Vinay & Rahul Prashanth, G & Suhas Joshi, Siddharth & Narayanan, K. & Malik, Hasmat & García Márquez, Fausto Pedro, 2022. "Optimal fuzzy based economic emission dispatch of combined heat and power units using dynamically controlled Whale Optimization Algorithm," Applied Energy, Elsevier, vol. 315(C).
    5. Nazari-Heris, Morteza & Mohammadi-Ivatloo, Behnam & Zare, Kazem & Siano, Pierluigi, 2020. "Optimal generation scheduling of large-scale multi-zone combined heat and power systems," Energy, Elsevier, vol. 210(C).

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