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

Jiecheng Zhu, Xitian Wang, Da Xie and Chenghong Gu
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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

Energies, 2019, vol. 12, issue 16, 1-20

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.

Keywords: micro gas turbine (MGT); demand response; power control; whale optimization algorithm (WOA) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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