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Subject: Electrical Engineering × Author: Joshi, Himanshu × End date: 2024 × Start date: 2020 × Type: Thesis ×
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    ThesisItemOpen Access
    Load frequency control of an isolated microgrid using model predictive control and PID with fuzzy logic control
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2022-01) Joshi, Himanshu; Singh, Rajiv
    In distribution network load frequency control and voltage control are major attention for smooth operation of micro grid. The control over load frequency is important mainly when isolated microgrid is remotely operated in rural areas. In isolated mode of operation microgrid operates independently. In this mode of operation, the critical load demand should be provided by the distributed generators present in the microgrid. If any real power mismatch is there between load demand and generation then frequency deviation comes into the picture. It causes flowing of circulating current in the system. The traditional PI/PID controller fails to keep the system deviations minimum over the wide range of working conditions. To overcome this problem this thesis suggests a secure LFC controllers for controlling the output frequency deviations in the isolated micro grid. It presents MPC approach and fuzzy logic control approach to control the deviations in isolated microgrid. Here we are using fuzzy logic with PID controller in order to control the parameters of PID controller for better control of frequency deviation. MPC uses state space model of isolated microgrid which is the combination of controllable and uncontrollable energy sources. For this model of isolated microgrid, MPC predicts the future output and respective input control signals to control the frequency of microgrid. MPC provides fully centralized control over the microgrid. Due to its simple and fast operation there are various application of model predictive control, mostly in industry. It takes less computational time and it can easily handle multiple constraints.