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Journal of Applied Sciences
  Year: 2006 | Volume: 6 | Issue: 9 | Page No.: 2000-2005
DOI: 10.3923/jas.2006.2000.2005
 
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The Elitist Non-dominated Sorting GA for Multi-objective Optimization of Standalone Hybrid Wind/PV Power Systems

Daming Xu, Longyun Kang and Binggang Cao

Abstract:
In the design of standalone hybrid wind/photovoltaic power systems, the optimal sizing is an important and challenging task. The coordination among renewable energy resources, generators, energy storages and loads is very complicated. The sizing of standalone hybrid wind/PV power systems can be taken as a multi-objective optimization problem involving two conflicting objectives being maximization of power reliability and minimization of cost. The Loss of Power Supply Probability (LPSP), which is the index of power reliability, is obtained by simulation. The Pareto-optimal solutions are found using the elitist non-dominated sorting GA (NSGA-II) and this has been validated by solving the multi-objective problem with the tangency method, which also belongs to the-constraint method. The decision variables are not only the size of Photovoltaic (PV) panels and the capacity of batteries included in traditional methods, but also the type and size of Wind Turbine Generators (WTGs) and the tilt angle of PV panels.
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How to cite this article:

Daming Xu, Longyun Kang and Binggang Cao , 2006. The Elitist Non-dominated Sorting GA for Multi-objective Optimization of Standalone Hybrid Wind/PV Power Systems. Journal of Applied Sciences, 6: 2000-2005.

DOI: 10.3923/jas.2006.2000.2005

URL: https://scialert.net/abstract/?doi=jas.2006.2000.2005

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