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2012 (Vol. 4, Issue: 23)
Article Information:

Optimization of Pollution Emission in Power Dispatch including Renewable Energy and Energy Storage

F.R. Pazheri, M.F. Othman, N.H. Malik and A.A. Al-Arainy
Corresponding Author:  F.R. Pazheri 

Key words:  Economic/environmental dispatch, energy storage, environmental friendly dispatch, renewable energy, , ,
Vol. 4 , (23): 5149-5156
Submitted Accepted Published
April 10, 2012 May 10, 2012 December 01, 2012

Electric power dispatch with minimal pollutants emission is a major challenge for power system operators. One of the main objectives of Economic/Environmental Dispatch (EED) and Environmental Friendly Dispatch (EFD) is to optimize the amount of pollutants emitted from the hybrid power plants. The optimization problems determine the amount of optimum generation to be allocated to each generating unit including renewable sources without violating system constraints while minimizing the pollutants. EED is an important multi objective problem which minimizes both the fuel cost of generation and the amount of pollutants emission while EFD has the single objective of optimizing the amount of pollutants emission only. EED and EFD are especially more useful tools in areas that have high potential of renewable energy. Optimum EED and EFD can be obtained by extracting maximum renewable energy during their availability periods and then using this renewable energy for both available and unavailable periods with the aid of energy storage. This study illustrates the optimization of EED and EFD with renewable energy and energy storage. MATLAB simulations are performed using IEEE-30 test bus data with 6 generators to illustrate the benefits of renewable energy and energy storage in reducing the unwanted pollutants emission.
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  Cite this Reference:
F.R. Pazheri, M.F. Othman, N.H. Malik and A.A. Al-Arainy, 2012. Optimization of Pollution Emission in Power Dispatch including Renewable Energy and Energy Storage.  Research Journal of Applied Sciences, Engineering and Technology, 4(23): 5149-5156.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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