الفهرس | Only 14 pages are availabe for public view |
Abstract In this thesis, different types of controllers (Integral, Proportional Integral and Fraction order (FO-PI) are used to obtain the controller gain for Automatic Generation Control (AGC) to represent the Simplified Egyptian Power System (SEPS) to achieve the growth of electric power for the sustainable development of Egypt. The main task of AGC is to bring back the frequency to its nominal set point and reduce power fluctuation due to unscheduled tie-line power flows among neighboring control areas. The suggested controllers are designed using real statistical data of the Egyptian Power System (EPS) for minimum and maximum loading conditions of the EPS during winter and summer of 2019-2020. The effectiveness of the proposed controller is illustrated by applying the suggested controller and studying the effect of the outage of the largest generation unit in the EPS like (South Helwan 650 MW) on the grid frequency. First, the thesis explains the methodology for building the new model of SEPS as a representation of updated EPS as well as presenting historical and updated models and then applies the proposed controllers to this SEPS model. As classical PID controllers practically suffer from some restrictions. These could be insufficiency and low efficiency as well as inability to handle nonlinear systems. Recent optimization approaches like Particle Swarm Optimization (PSO), Jellyfish Search Optimizer (JSO) and Coyote Algorithm Optimization (COA) are considered to be valuable for LFC, which can overcome the weakness of conventional or classical controls. The gains of Integral controller parameters in addition to the gains of Fractional Order FO-PI controller parameters such as proportional, integral, and order of integrator (λ), are optimized using different Particle Swarm Optimization (PSO) algorithms, Then the best PSO gain is determined to compare with other recent algorithms such as Jellyfish Search Optimizer (JSO) and Coyote Optimization Algorithm (COA) for different loading scenarios. The results present that the suggested controllers based on recent optimization approaches provide the best dynamic response for a step load change. MATLABSimulink software is used for obtaining the results. The obtained results are promising and encouraging. |