الفهرس 
Optimal operation of electric power systems considering wind power uncertainty incorporating energy storage system and demand side management
SummaryOnly 14 pages are availabe for public view
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Abstract
This thesis introduces three approaches to enhance the accommodation of high wind penetration into the electric power systems. Firstly, a dynamic economic dispatch (DED) model has been introduced incorporating high wind penetration and Demand Side Management (DSM). The importance of using demand side management to facilitate the accommodation of wind energy has been fully assessed. Also the effect of utilizing DSM as an alternative to load shedding or building new power stations has been discussed. Secondly, a dynamic economic emission dispatch (DEED) model incorporating high wind penetration considering its intermittency and uncertainty has been introduced. Energy Storage System (ESS) and DSM are implemented in order to study their effect on the cost, emission, and wind energy utilization. The achieved results show the importance of using ESS and DSM in decreasing both cost and emission, and increasing the wind energy utilization. Finally, a new stochastic unit commitment (SUC) problem formulation including high penetration of wind energy, ESS and DSM has been proposed. The Latin Hypercube Sampling is combined with Cholesky decomposition method to generate different wind power scenarios. The simulated scenarios are then reduced using the fast forward selection algorithm. Then, the proposed SUC formulation implements these reduced scenarios to size the ESS optimally, considering its cost and benefit maximization of wind energy