LOAD FREQUENCY CONTROL PROBLEM OF A DEREGULATED SYSTEM USING FUZZY LOGIC CONTROLLER

Electrical Engineering

Load frequency control (LFC) is a crucial aspect of power systems, especially in a deregulated environment where the generation and demand of electricity can vary rapidly. The goal of LFC is to maintain a balance between the generation and demand of power, ensuring stability and reliability of the system. Fuzzy logic controllers (FLCs) can provide an efficient solution for LFC in multi-area power systems by providing robust and flexible control. In this project, a fuzzy logic controller is proposed for LFC in a multi-area power system under a deregulated environment. The FLC uses the information of generation, demand, and inter-area power flow to make decisions on the control of the area's generation The proposed controller is compared with traditional PI controllers and simulation results show that the fuzzy logic controller provides a better response to frequency deviation and can handle the non-linearities and uncertainties present in the power system. The simulation results also show that the FLC provides improved performance compared to traditional controllers in terms of settling time, overshoot, and steady-state error. The proposed fuzzy logic controller has been tested under different scenarios, including changes in load demand and generation, to verify its robustness and effectiveness in a deregulated environment. In conclusion, the proposed fuzzy logic controller provides a promising solution for load frequency control in multi-area power systems under a deregulated environment. The use of a fuzzy logic controller offers robust and flexible control, providing improved performance compared to traditional controllers. This research can contribute to the development of a more stable and reliable power system in a deregulated environment and can provide useful information for the design and implementation of future control strategies for load frequency control in multi-area power systems.

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