Title :
Energy management of smart grid considering responsive load
Author :
Ahmady, Maryam ; Fereidunian, Alireza ; Lesani, H.
Author_Institution :
Dept. of Electr. Eng., Islamic Azad Univ., Saveh, Iran
Abstract :
This paper presents an energy management system (EMS) of a smart grid. The EMS consists of some input modules such as load forecasting, generation forecasting, and market information which give necessary data to optimization module. The aim of this article is improving the optimization module and modeling the effect of demand side management on optimal energy management system. The proposed EMS minimizes the cost of smart grid´s operation with consideration of responsive loads for a day ahead and time interval of operation is considered 1 hour. Finally the objective function is solved by genetic algorithm and the program has been solved in Matlab software environment.
Keywords :
energy management systems; genetic algorithms; load forecasting; power markets; smart power grids; EMS; Matlab software environment; day ahead operation; demand side management; generation forecasting; genetic algorithm; load forecasting; market information; operation time interval; optimal energy management system; optimization module; responsive load; smart grid; smart grid operation cost; Energy management; Genetic algorithms; Linear programming; Microgrids; Optimization; Production; Smart grids;
Conference_Titel :
Smart Grid Conference (SGC), 2013
Conference_Location :
Tehran
Print_ISBN :
978-1-4799-3039-5
DOI :
10.1109/SGC.2013.6733799
