الفهرس 
AbstractOnly 14 pages are availabe for public view
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Abstract
Competition in electricity markets forces many utilities and electric power companies to change their ways and rules of operation from vertically integrated echanism to open access system. This change in operation is called deregulation which differs from region to another and the main aim of deregulation is to enhance competition and give consumer new choices and more benefits.Deregulation in electric power systems may cause some problems such as congestion in transmission lines and voltage instability, congestion management is a very important problem that faces independent system operator in deregulated electricity market and should be solved as fast as possible to ensure system security and stability.The main objective of this thesis is to discuss and propose a solution to the congestion in electric power systems due to deregulation. This study focuses on three major common methods to mitigate congestion management. The first one is using generation rescheduling process to remove congestion; the optimal rescheduling values of generators are determined using genetic algorithm to solve the objective function which is maximizing social welfare. The second method is installing Flexible Alternating Current Transmission Systems (FACTS) devices into the power system as a solution to the congestion problem. Thyristor Controlled Series Compensator(TCSC) and Static Var Compensator (SVC) are inserted in optimal locations with optimal sizes considering voltage stability. The third method is inserting distributed generators (DGs) into the electricity market to solve congestion problem; the issue here is to find the optimal size and location of the DG. First, optimal rescheduling of active power generation is proposed and the optimal rescheduling values are determined by solving the objective function during both normal conditions and contingency operation. In normal operation during heavy loads when the system is congested then GA is used to determine the optimal rescheduling values of generators to remove congestion, and in contingency case critical lines are out of service ii and this causes congestion in some lines in the system but this congestion is removed by rescheduling real power of generators.