International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering | |
COST OPTIMIZATION OF STAND ALONEHYBRID POWER GENERATION SYSTEMUSING PSO | |
article | |
G. Naveen Ram1  J. Devi Shree2  A. Kiruthiga3  | |
[1] Dept. of EEE, Kalaivani College of Technology;Dept. of EEE, Coimbatore Institute of Technology;Dept. of EEE, Sasurie Academy of Engineering | |
关键词: Energy crisis; Hybrid wind–photovoltaic system; Cost minimization; Particle swarm optimization.; | |
来源: Research & Reviews | |
【 摘 要 】
The diminishing fossil-fuel reserve and increasing demand of the world’s population makes it mandatory to look forward to new ways of energy generation. With the advancement in technology and innovations we are able to solve our energy crises and the best answer is energy from renewable sources. Wind turbine generators and PV panels have their own merits for not contributing pollution in the environment but they require high capital and installation costs. This paper deals with providing optimal design of stand-alone hybrid power generation plant comprising of wind turbine generators, PV panels and storage batteries connected to a diesel generator for additional needs. The main objective of the design criteria is to minimize the total cost which includes initial, operational and maintenance cost. For achieving optimal design conditions for this hybrid system, metaheuristics particle swarm optimization is adopted. To illustrate the design procedure the simulation results of the proposed method is discussed.
【 授权许可】
Unknown
【 预 览 】
Files | Size | Format | View |
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RO202307140000575ZK.pdf | 598KB | download |