Wind- photovoltaic hybrid system capacity optimization for cathode conservation station
Journal Title: International Research Journal of Applied and Basic Sciences - Year 2013, Vol 7, Issue 5
Abstract
in this paper, an optimization method for hybrid wind-photovoltaic system capacity is proposed. Cathode conservation is known as an effective conservation method in order to prevent the corrosion of buried structures and is used widely in conservation of pipelines for transmission and distribution of gas, petroleum products and water. The capacity optimization means that the optimal number of solar cells, wind turbine and saving battery should be determined. Beside this, the cathode conservation station consuming value is low at the first of opening and increases during the years. So the number of solar cells, wind turbines and saving battery should be determine in such a way that the minimum value of cost could be tolerated at the first year of utilization and also some years later. The proposed solution approach is applied on a cathode conservation system using the Particle Swarm Optimization (PSO) algorithm which is written by MATLAB software and the obtained results are reported. The obtained solution is described considering the cost and other related constraints. Finally by consideration of consuming and production values the optimal way in which the minimum value of cost is tolerated, can be obtained considering the optimal capacity assigned to the cathode conservation station. Totally the proposed method can provide an optimal capacity for the hybrid wind-photovoltaic system of cathode conservation station and also the total system cost is reduced using proposed method.
Authors and Affiliations
Masoud Kalvandi| power electrical engineering, Department of Electrical, Hamedan Branch, Islamic Azad University, Seience and Research campus, Hamedan, Iran. Email: masoudkalvandi@yahoo.com, Mohammad- Hassan Moradi| Faculty of Engineering, Department of Electrical, Bu Ali sina university, Hamadan, Iran., Abbas Fattahi Meyabadi| Faculty of Engineering, Department of Electrical, industrial university, Hamadan, Iran.
Keywords
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