@article {141815,
	title = {Optimal operation of power system incorporating wind energy with demand side management},
	volume = {8},
	year = {2017},
	note = {n/a},
	month = {2017},
	pages = {1 - 7},
	abstract = {<p>AbstractThe high penetration of the wind energy in the power systems raises some issues such as ramping and mismatch between the wind power and power demand. One of the possible solutions to these issues is the demand side management (DSM). In this paper, dynamic economic dispatch (DED) incorporating different penetration levels of wind energy and utilizing the DSM is proposed to solve the issues related to high penetration of wind energy. The effect of utilizing the DSM on the operation cost with different test cases is discussed. The General Algebraic Modeling System (GAMS) using BARON as a solver and genetic algorithm (GA) with hybrid function are used to solve the proposed DED model and a comparison between them is assessed. The proposed model is applied to a six units{\textquoteright} generation system to test the effectiveness of the proposed model.</p>
},
	keywords = {Demand side management, Dynamic economic dispatch, General algebraic modeling system, genetic algorithm, Wind energy},
	isbn = {2090-4479},
	url = {http://www.sciencedirect.com/science/article/pii/S2090447915001094},
	author = {Alham, MH and Elshahed, M and Doaa Khalil Ibrahim and El Zahab, Essam El Din Abo}
}
