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

1
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
2
Department of Electronic and Electrical Engineering, University of Bath, Bath BA2 7AY, UK
*
Author to whom correspondence should be addressed.
Energies 2019, 12(16), 3101; https://doi.org/10.3390/en12163101
Received: 1 July 2019 / Revised: 4 August 2019 / Accepted: 8 August 2019 / Published: 13 August 2019
(This article belongs to the Special Issue Operation and Control of Power Distribution Systems)
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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. View Full-Text
Keywords: micro gas turbine (MGT); demand response; power control; whale optimization algorithm (WOA) micro gas turbine (MGT); demand response; power control; whale optimization algorithm (WOA)
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Zhu, J.; Wang, X.; Xie, D.; Gu, C. Control Strategy for MGT Generation System Optimized by Improved WOA to Enhance Demand Response Capability. Energies 2019, 12, 3101.

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