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Frequency control by the PV station in electric power systems with hydrogen energy storage
Affiliation:1. Department of Aeronautical and Automobile Engineering, Manipal Institute of Technology, Manipal, Udupi, Karnataka, 57104, India;2. Department of Mechanical Engineering, National Institute of Technology Karnataka, Shrinivasnagar, Surathkal, Mangalore, Karnataka, 575025, India;1. ENEA - Energy Technologies and Renewable Sources Department (TERIN), ICT Division, Portici Research Center, Piazzale Enrico Fermi 1, Portici 80055, Italy;2. Istituto di Scienze e Tecnologie per l’Energia e la Mobilità Sostenibili - CNR, Viale Marconi 4, 80125 Napoli, Italy;1. Department of Chemical Engineering, Graduate School of Engineering, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka-shi, Fukuoka, 819-0395, Japan;2. Department of Materials and Life Science, Faculty of Science and Technology, Seikei University, 3-3-1 Kichijoji-kitamachi, Musashino-shi, Tokyo, 180-8633, Japan;3. Research Center for Synchrotron Light Applications, Kyushu University, 6-1 Kasuga-koen, Kasuga-shi, Fukuoka, 816-8580, Japan
Abstract:The rapid growth of renewable energy capacity, in particular photovoltaic systems, is creating challenges associated with changing the rate of transient processes in the power system. This is due to the approach PV systems are connected to the grid using power converters and the absence of a rotating mass in the PV power plant. One of the most pressing challenge is the participation of PV stations in the process of frequency control in power systems, including in emergency modes. Simultaneously with PV power plants, it is efficient to use energy storage systems, including hydrogen ones. This is due to the fact that it is possible to obtain hydrogen for such energy storage systems using excess energy from PV power plants. The article proposes to solve the problem of frequency regulation in the power system by using an algorithm that allows to control the frequency in the power system using a synthetic inertia block of PV station, including at different levels of insolation and temperature of PV panels. The robustness of the proposed algorithm allows it to be used at different levels of power generated by the PV station, as well as in emergency modes.
Keywords:Energy storage systems  Mathematical modeling  Electric power systems  PV stations  Renewable energy sources  Synthetic inertia
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