الفهرس 
Summary
Operation States of Power SystemOnly 14 pages are availabe for public view
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Abstract
Combined Cycle Power Plant (CCPP) plant has become an important technology for power generation due to significant effects on power system stability studies. CCPP plant integrates two thermodynamic cycles Brayton cycle and Rankine cycle to achieve high energy efficiency. Nowadays, many CCPP plants are installed to meet the energy crisis in Egypt. Thus, there is a need to investigate the dynamic performance of CCPP plants during transient and steady state behavior. So that, it’s important to setup simplified mathematical models for studying the dynamic response characteristics of CCPP plants. Recently, many researches developed several mathematical models of CCPP with different degrees of complexity and success. In this thesis, an appropriately simplified mathematical model is presented based on classical model of CCPP for analyzing the behavior of CCPP in order to solve the power system problems. A gain fixed controller for Automatic Generation Control (AGC) that is optimal at an operating point may be not suitable in another operating point and fails to provide acceptable control performance. So that numerous modern control techniques such as Fuzzy Logic Control (FLC), neural networks and adaptive control schemes have applied in the control system belonging to power generation. The simulation studies have been employed to study the dynamic performances for both the conventional model and the proposed model with FLC during normal operating condition and also after subjected to different load changing conditions and also compared their performances with the dynamic response of the proposed model with Adaptive Neuro-Fuzzy Inference System (ANFIS). The simulation results clearly reveal the superior performance of ANFIS controller over fuzzy logic controller and also the conventional controller which the proposed controllers improve effectively the system damping characteristics and also the settling time is greatly reduced. On the other hand, to more indication that the performance of ANFIS controller is more advanced than the performance of fuzzy logic controller and the conventional controller, an interconnected two equal area of the proposed model of CCPP connected through power lines is developed to study the dynamic response of the proposed interconnected system and compare with the conventional interconnected system and also the proposed model with fuzzy logic controller under both of transient and steady state behavior. The results demonstrate the superiority of the proposed interconnected model with ANFIS controller compared to the other interconnected models and also prove the flexibility of ANFIS controller to various environments with good accuracy.