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Robust controller design of microturbine and electrolyzer for frequency stabilization in a microgrid system with plug-in hybrid electric vehicles
Affiliation:1. Department of Electrical Engineering, School of Engineering, University of Phayao, Phayao 56000, Thailand;2. Center of Excellence for Innovative Energy Systems, Department of Electrical Engineering, Faculty of Engineering, King Mongkut’s Institute of Technology Ladkrabang, Bangkok 10520, Thailand;1. Associate Chief of Staff and Director of Graduate Medical Education, Veterans Affairs Greater Los Angeles Healthcare System; Director of Quality Assurance, Hospital Dental Service, Ronald Reagan UCLA Medical Center; and Professor-in-Residence, Department of Oral and Maxillofacial Surgery, University of California, Los Angeles, School of Dentistry, Los Angeles, CA;2. Director of Research Fellowship and Inpatient Oral and Maxillofacial Surgery, Veterans Affairs Greater Los Angeles Healthcare System; and Instructor, Department of Oral and Maxillofacial Surgery, University of California, Los Angeles, School of Dentistry, Los Angeles, CA;3. Research Fellow, Oral and Maxillofacial Surgery Section, Dental Service, Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA;4. Research Fellow, Oral and Maxillofacial Surgery Section, Dental Service, Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA;1. University of Southampton, Southampton, UK;2. Universidad Carlos III de Madrid, Madrid, Spain;3. Concordia University, Montreal, Canada;1. Department of Electrical and Computer Engineering, University of Western Macedonia, Karamanli & Ligeris, Kozani 50100, Greece
Abstract:This paper proposes a new robust controller design of microturbine (MT) and electrolyzer (ES) in a control and monitoring system (CMS) for frequency stabilization in a microgrid system with plug-in hybrid electric vehicles (PHEVs). In the studied microgrid, the MT is normally used to provide the main power to the loads while the ES absorbs the power from the system to produce the hydrogen as the fuel input for the power generation of the fuel cell. On the other hand, the large numbers of PHEVs are utilized in the consumer side. The concurrent charging powers of PHEVs cause a problem of severe frequency fluctuation in the microgrid. To solve this problem, the frequency stabilization of CMS is performed by controlling the power output of MT and ES. The controller structure of MT and ES is a proportional integral with a single input. To enhance the tracking performance and the robustness against system uncertainties of the designed MT and ES controllers, the control parameters are optimized by shuffled frog leaping algorithm based on specified-structure mixed H2/H control technique. Simulation results not only show the frequency stabilization effect against the random charging power of PHEVs but also the high robustness of the proposed robust MT and ES controllers against the system parameters variation.
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