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Control Strategy for MGT Generation System Optimized by Improved WOA to Enhance Demand Response Capability

Author

Listed:
  • Jiecheng Zhu

    (School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Xitian Wang

    (School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Da Xie

    (School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Chenghong Gu

    (Department of Electronic and Electrical Engineering, University of Bath, Bath BA2 7AY, UK)

Abstract

The grid-connected micro gas turbine (MGT) generation system is playing an important role in power systems because of its demand response capability and application in combined heat and power (CHP) systems. When applied to promote demand response, the generation system is expected to respond to follow instructions quickly, but a rapid response harms the safety and is not conducive to the benefits of customers, which leads to a contradiction. In this paper, a closed-loop power control is introduced for the MGT to improve demand response capability. The rate of fuel valve opening is limited so as to protect the equipment from thermal fatigue threats. An optimization method is developed for identifying the control parameters, balancing the response time and unrealized energy in the regulation process. An improved whale optimization algorithm (IWOA) is proposed to implement the optimization. Results of the algorithm performance verify that WOA is competitive with other heuristic algorithms, and IWOA is more suitable for parameter optimization problems than WOA because of better efficiency and exploitation capability. Results of power response further indicate that the proposed control strategy can achieve expected aims and is suitable for the MGT generation system.

Suggested Citation

  • Jiecheng Zhu & Xitian Wang & Da Xie & Chenghong Gu, 2019. "Control Strategy for MGT Generation System Optimized by Improved WOA to Enhance Demand Response Capability," Energies, MDPI, vol. 12(16), pages 1-20, August.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:16:p:3101-:d:257124
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    References listed on IDEAS

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    1. Haupt, Axel & Müller, Karsten, 2017. "Integration of a LOHC storage into a heat-controlled CHP system," Energy, Elsevier, vol. 118(C), pages 1123-1130.
    2. Lin, Fu & Yi, Jiang, 2000. "Optimal operation of a CHP plant for space heating as a peak load regulating plant," Energy, Elsevier, vol. 25(3), pages 283-298.
    3. Vögelin, Philipp & Koch, Ben & Georges, Gil & Boulouchos, Konstatinos, 2017. "Heuristic approach for the economic optimisation of combined heat and power (CHP) plants: Operating strategy, heat storage and power," Energy, Elsevier, vol. 121(C), pages 66-77.
    4. Marina Montero Carrero & Irene Rodríguez Sánchez & Ward De Paepe & Alessandro Parente & Francesco Contino, 2019. "Is There a Future for Small-Scale Cogeneration in Europe? Economic and Policy Analysis of the Internal Combustion Engine, Micro Gas Turbine and Micro Humid Air Turbine Cycles," Energies, MDPI, vol. 12(3), pages 1-27, January.
    5. Abdelbasset Krama & Laid Zellouma & Boualaga Rabhi & Shady S. Refaat & Mansour Bouzidi, 2018. "Real-Time Implementation of High Performance Control Scheme for Grid-Tied PV System for Power Quality Enhancement Based on MPPC-SVM Optimized by PSO Algorithm," Energies, MDPI, vol. 11(12), pages 1-26, December.
    6. Ondeck, Abigail D. & Edgar, Thomas F. & Baldea, Michael, 2018. "Impact of rooftop photovoltaics and centralized energy storage on the design and operation of a residential CHP system," Applied Energy, Elsevier, vol. 222(C), pages 280-299.
    7. Da Xie & Yupu Lu & Junbo Sun & Chenghong Gu & Jilai Yu, 2016. "Optimal Operation of Network-Connected Combined Heat and Powers for Customer Profit Maximization," Energies, MDPI, vol. 9(6), pages 1-17, June.
    8. De Paepe, Ward & Montero Carrero, Marina & Bram, Svend & Contino, Francesco & Parente, Alessandro, 2017. "Waste heat recovery optimization in micro gas turbine applications using advanced humidified gas turbine cycle concepts," Applied Energy, Elsevier, vol. 207(C), pages 218-229.
    9. Berta, Gian Luigi & Prato, Alessandro Pini & Garbarino, Luca, 2006. "Design criteria for distributed cogeneration plants," Energy, Elsevier, vol. 31(10), pages 1403-1416.
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    Cited by:

    1. Ahmad Abuhaiba & Mohsen Assadi & Dimitra Apostolopoulou & Jafar Al-Zaili & Abdulnaser I. Sayma, 2023. "Power Transmission and Control in Microturbines’ Electronics: A Review," Energies, MDPI, vol. 16(9), pages 1-23, May.
    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.

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