DocumentCode :
680521
Title :
Smart energy management for a micro-grid with consideration of demand response plans
Author :
Mahoor, Mohsen ; Iravani, Negar ; Salamati, S. Mahmoud ; Aghabali, Amin ; Rahimi-Kian, Ashkan
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Tehran, Tehran, Iran
fYear :
2013
fDate :
17-18 Dec. 2013
Firstpage :
125
Lastpage :
130
Abstract :
Micro-grid technology provides an opportunity and a desirable infrastructure for improving efficiency of electrical and thermal energy consumption. The key to improve electrical and thermal energy efficiency in operation is to coordinate and optimize the operation of various energy resources and loads. In this paper, a typical micro-grid consisting of photovoltaic and wind turbine as renewable resources and diesel generator, combined heat and power and boiler as other Supply resources and battery as system´s storage is considered. The objective function was minimizing overall cost of electrical and thermal energy during 24 hours. With regards to demand and supply balance and operation constraints of every energy source and storage and also considering demand response plans, the objective function was minimized by specifying each unit´s production or storage. Simulation results show that, a significant save of money and fuel can be achieved through scheduling and control of various energy supply and storage resources.
Keywords :
boilers; cogeneration; diesel-electric generators; distributed power generation; energy consumption; energy management systems; hybrid power systems; photovoltaic power systems; power generation planning; wind turbines; boiler; combined heat and power; demand and supply; demand response plans; diesel generator; electrical energy consumption; electrical energy efficiency; energy source; energy storage; energy supply; microgrid; microgrid technology; operation constraints; photovoltaic turbine; renewable resources; scheduling; smart energy management; storage resources; thermal energy consumption; thermal energy efficiency; time 24 hour; wind turbine; Batteries; Cogeneration; Generators; Linear programming; Load management; Optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Smart Grid Conference (SGC), 2013
Conference_Location :
Tehran
Print_ISBN :
978-1-4799-3039-5
Type :
conf
DOI :
10.1109/SGC.2013.6733824
Filename :
6733824
Link To Document :
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