DocumentCode
2820602
Title
Design and simulation of a hybrid renewable energy system
Author
Fares, Dima ; Karaki, Sami ; Chedid, Riad
Author_Institution
Electr. & Comput. Eng. Dept., American Univ. of Beirut, Beirut, Lebanon
fYear
2011
fDate
25-26 Feb. 2011
Firstpage
1
Lastpage
7
Abstract
Linear programming (LP) is used to calculate the sizes of the components of a hybrid renewable energy system (HRES) that minimize the present worth of capital and operating costs. The constraints are the energy demand, emissions from the diesel engine, satisfying battery autonomy hours, maintaining system reliability, and keeping a limit on the renewable energy resources. Such formulation uses assumed values for the diesel engine capacity factor, the battery lifetime, the risk factor in the reliability constraint, and the share factor of the renewable resource. When the sizes are obtained from the LP solution, these will be used in a time simulation and the values of these assumptions are reviewed and the LP is solved again in an iterative procedure. Results indicate that after adjusting the assumptions previously set, the cost of the system is further minimized.
Keywords
diesel engines; diesel-electric generators; energy management systems; hybrid power systems; iterative methods; linear programming; power generation reliability; renewable energy sources; EMS; battery autonomy hours; diesel engine capacity factor; diesel engine generator; energy demand; energy management system; hybrid renewable energy system; iterative procedure; linear programming; reliability constraint; renewable energy resources; Batteries; Linear programming; Optimization; Photovoltaic systems; Reliability; Renewable energy resources; Hybrid Renewable Energy System; Linear Programming; Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Conference at Illinois (PECI), 2011 IEEE
Conference_Location
Champaign, IL
Print_ISBN
978-1-4244-8051-7
Electronic_ISBN
978-1-4244-8050-0
Type
conf
DOI
10.1109/PECI.2011.5740483
Filename
5740483
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