@article {186215,
	title = {Stochastic Unit Commitment Incorporating Demand Side Management and Optimal Storage Capacity},
	journal = {Iranian Journal of Science and Technology, Transactions of Electrical Engineering},
	volume = {43},
	year = {2019},
	pages = {S559{\textendash}S571},
	abstract = {<p>High penetration of wind energy imposes several operational challenges due to its uncertainty and intermittent nature. Flexible energy resources represent key solutions to compensate for power mismatch associated with wind power (WP) uncertainty and intermittency. This paper proposes a new stochastic unit commitment (SUC) problem formulation including high penetration of wind energy, energy storage system (ESS), and demand side management. Firstly, the Latin hypercube sampling is combined with Cholesky decomposition method to generate different WP scenarios. The simulated scenarios are then reduced using the fast forward selection algorithm. Finally, a novel SUC formulation implements these reduced scenarios to size the ESS optimally, considering its cost and benefit maximization of wind energy. To validate the proposed approach, a nine-unit test system is used to demonstrate the reduction in the operational cost and the increase in the utilized wind energy under different operational conditions.</p>
},
	author = {Mohamed Hamdy and Mostafa Elshahed and Doaa Khali and El-Zahab, Essam El-Din Abo}
}
