DocumentCode :
1938064
Title :
Economic Dispatch incorporating wind power plant using Particle Swarm Optimization
Author :
Dozein, Mehdi Ghazavi ; Ansari, Javad ; Kalantar, Mohsen
Author_Institution :
Centre of Excellence for Power Syst. Autom. & Oper., Iran Univ. of Sci. & Technol., Tehran, Iran
fYear :
2012
fDate :
6-8 March 2012
Firstpage :
178
Lastpage :
182
Abstract :
This paper presents a new approach for Economic Dispatch (ED) problems incorporating wind power plant using Particle Swarm Optimization (PSO) method. As Wind Power Plant increase in power systems, its effects to conventional units should be analyzed. Also the total cost is dependent on wind speed in specific period of time. Therefore, the mathematical techniques are not appropriate to find the global optimum ED. In this paper, PSO is proposed to deal with wind power plants in ED. To show efficiency of wind power plant in reducing total cost, different simulation scenarios with and without wind power production are simulated.
Keywords :
particle swarm optimisation; power generation dispatch; power generation economics; wind power plants; ED problem; PSO method; economic dispatch; global optimum ED; mathematical techniques; particle swarm optimization; power systems; wind power plant; wind speed; Cost function; Economics; Generators; Particle swarm optimization; Power systems; Wind power generation; Wind speed; Economic Dispatch; Nonsmooth Cost Function; Particle Swarm Optimization; Weibull Probability Density Function; Wind Power Plant;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Renewable Energy and Distributed Generation (ICREDG), 2012 Second Iranian Conference on
Conference_Location :
Tehran
Print_ISBN :
978-1-4673-0663-8
Electronic_ISBN :
978-1-4673-0664-5
Type :
conf
DOI :
10.1109/ICREDG.2012.6190458
Filename :
6190458
Link To Document :
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