Optimization of Hybrid Renewable Energy Systems (HRES) Using PSO for Cost Reduction

Abstract This paper presents a method for the optimization of the power generated from a Hybrid Renewable Energy Systems (HRES) in order to achieve the load of typical house as example of load demand. Particle Swarm Optimization Technique (PSO) is used as optimization searching algorithm due to its advantages over the other techniques for reducing the Levelized Cost of Energy (LCE) with an acceptable range of the production taking in consideration the losses between production and demand sides; the problem is defined and objective function is introduced taking in consideration fitness values sensitivity in particle swarm process. The algorithm structure was built using MATLAB software.

[1]  S. M. Shaahid,et al.  Parametric study of hybrid (wind + solar + diesel) power generating systems , 2000 .

[2]  Seyed Hossein Hosseinian,et al.  Optimization of hybrid solar energy sources/wind turbine systems integrated to utility grids as microgrid (MG) under pool/bilateral/hybrid electricity market using PSO , 2012 .

[3]  M. M. Ardehali,et al.  Particle swarm optimization based fuzzy logic controller for autonomous green power energy system with hydrogen storage , 2013 .

[4]  Johannes Henkel,et al.  Optimisation of hybrid off-grid energy systems by linear programming , 2012 .

[5]  R. Billinton,et al.  Evaluation of different operating strategies in small stand-alone power systems , 2005, IEEE Transactions on Energy Conversion.

[6]  A. Louche,et al.  DESIGN OF HYBRID-PHOTOVOLTAIC POWER GENERATOR, WITH OPTIMIZATION OF ENERGY MANAGEMENT , 1999 .

[7]  S. M. Shaahid,et al.  Opportunities for utilization of stand-alone hybrid (photovoltaic + diesel + battery) power systems in hot climates , 2003 .

[8]  Danièle Revel,et al.  Renewable energy technologies: cost analysis series , 2012 .

[9]  Ziyad M. Salameh,et al.  Methodology for optimally sizing the combination of a battery bank and PV array in a wind/PV hybrid system , 1996 .

[10]  Randy L. Haupt,et al.  Practical Genetic Algorithms , 1998 .

[11]  Getachew Bekele,et al.  Feasibility Study of Small Hydro/PV/Wind Hybrid System for off Grid Rural Electrification in Ethiopia , 2012 .

[12]  B. Wichert,et al.  PV-diesel hybrid energy systems for remote area power generation — A review of current practice and future developments , 1997 .

[13]  Fengqi You,et al.  Assumptions and the levelized cost of energy for photovoltaics , 2011 .

[14]  J. G. Vera.  Options for rural electrification in Mexico , 1992 .