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Abstract
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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
Submitted: April 10, 2012
Accepted: May 10, 2012
Published: December 01, 2012 |
Abstract:
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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.
Key words: Economic/environmental dispatch, energy storage, environmental friendly dispatch, renewable energy, , ,
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Cite this Reference:
F.R. Pazheri, M.F. Othman, N.H. Malik and A.A. Al-Arainy, . Optimization of Pollution Emission in Power Dispatch including Renewable Energy and Energy Storage. Research Journal of Applied Sciences, Engineering and Technology, (23): 5149-5156.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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