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Optimal Design of PV/Wind/Pumped-Storage Hybrid System Based on Improved Particle Swarm Optimization

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Abstract:

Optimization is very important in the design process of the PV/wind/pumped-storage hybrid system. Particle swarm optimization algorithm was a stochastic global optimization algorithm with good convergence and high accuracy, so it was used to optimize the hybrid system in this paper. First, the system reliability model and the system cost model were established. Secondly, the improved particle swarm optimization algorithm was used to optimize the system model in Nanjing. Finally, the results were analyzed and discussed. The optimization results showed that the optimal design method based on improved particle swarm optimization could take into account both the local optimization and the global optimization, which has good convergence high precision. The optimal system was that LPSP (loss of power supply probability) was zero and that LCE (levelized cost energy) was lowest.

Keywords: IMPROVED PARTICLE SWARM OPTIMIZATION ALGORITHM; LEVELIZED COST OF ENERGY; LOSS OF POWER SUPPLY PROBABILITY; OPTIMIZATION; PV/WIND/PUMPED-STORAGE HYBRID SYSTEM

Document Type: Research Article

DOI: https://doi.org/10.1166/asl.2012.2301

Publication date: 2012-03-01

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  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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