الفهرس 
Title : Static Transmission Expansion Planning to Enhance Reliability of Power System Using Constrained Genetic Algorithm
SummaryOnly 14 pages are availabe for public view
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Abstract
An exact and effective model of long-range static transmission expansion planning which is created in thesis applies genetic algorithm optimization technique to minimize the cost objective function that comprises both fixed and variable costs for all planned facilities, in addition to transmission energy losses cost and expected energy not served cost due to generation contingency. The cost objective function is subject to system stability constraints in terms of upper and lower limits on the voltage magnitude and swing angle at system buses, and system security constraints in terms of power flow limitation, thermal capacity limitation, and the permissible number of parallel lines to be installed in each right-of-way. The model applies AC load flow using gauss-seidel to allow the inclusion of system stability and security constraints into the model. The model provides accurate assessment for system stability and study the effect of the reliability index on the planned facilities. Garver 6-bus test system is utilized to test and justify the appropriateness of the created model