A Simple Sizing Algorithm for Stand-Alone PV/Wind/Battery Hybrid Microgrids

In this paper, we develop a simple algorithm to determine the required number of generating units of wind-turbine generator and photovoltaic array, and the associated storage capacity for stand-alone hybrid microgrid. The algorithm is based on the observation that the state of charge of battery should be periodically invariant. The optimal sizing of hybrid microgrid is given in the sense that the life cycle cost of system is minimized while the given load power demand can be satisfied without load rejection. We also report a case study to show the efficacy of the developed algorithm.

[1]  Zhou Wei,et al.  Optimal design and techno-economic analysis of a hybrid solar–wind power generation system , 2009 .

[2]  A. Celik On the distributional parameters used in assessment of the suitability of wind speed probability density functions , 2004 .

[3]  Mohamed A. Habib,et al.  Optimization procedure of a hybrid photovoltaic wind energy system , 1999 .

[4]  William A. Beckman,et al.  Improvement and validation of a model for photovoltaic array performance , 2006 .

[5]  J. A. Carta,et al.  A review of wind speed probability distributions used in wind energy analysis: Case studies in the Canary Islands , 2009 .

[6]  Roberto Capata Lethe@-Udr1 Passenger Sedan Final Proposed Configuration , 2011 .

[7]  Orhan Ekren,et al.  Size optimization of a PV/wind hybrid energy conversion system with battery storage using simulated annealing , 2010 .

[8]  E. Akpinar,et al.  An assessment on seasonal analysis of wind energy characteristics and wind turbine characteristics , 2005 .

[9]  A. Rajendra Prasad,et al.  Optimization of integrated photovoltaic–wind power generation systems with battery storage , 2006 .

[10]  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 .

[11]  William E. Boyson,et al.  Photovoltaic array performance model. , 2004 .

[12]  Kostas Kalaitzakis,et al.  Methodology for optimal sizing of stand-alone photovoltaic/wind-generator systems using genetic algorithms , 2006 .

[13]  José L. Bernal-Agustín,et al.  Design of isolated hybrid systems minimizing costs and pollutant emissions , 2006 .

[14]  Wei Zhou,et al.  A novel optimization sizing model for hybrid solar-wind power generation system , 2007 .

[15]  Andreas Jossen,et al.  Methods for state-of-charge determination and their applications , 2001 .

[16]  Abdel-Karim Daud,et al.  Design of isolated hybrid systems minimizing costs and pollutant emissions , 2012 .

[17]  A. Louche,et al.  Design and techno-economical optimization for hybrid PV/wind system under various meteorological conditions , 2008 .

[18]  S.T. Lee,et al.  Probabilistic load flow computation using the method of combined cumulants and Gram-Charlier expansion , 2004, IEEE Transactions on Power Systems.

[19]  Wei Zhou,et al.  Battery behavior prediction and battery working states analysis of a hybrid solar-wind power generation system , 2008 .

[20]  Rodolfo Dufo-López,et al.  Design and control strategies of PV-Diesel systems using genetic algorithms , 2005 .

[21]  Simon J. Watson,et al.  Validation of wind speed prediction methods at offshore sites , 2006 .

[22]  Orhan Ekren,et al.  Simulation based size optimization of a PV/wind hybrid energy conversion system with battery storage under various load and auxiliary energy conditions , 2009 .

[23]  Rajesh Kumar Nema,et al.  A current and future state of art development of hybrid energy system using wind and PV-solar: A review , 2009 .

[24]  Henk Jan Bergveld,et al.  Battery Management Systems: Accurate State-of-Charge Indication for Battery-Powered Applications , 2008 .

[25]  D. Lew,et al.  Alternatives to coal and candles: wind power in China , 2000 .

[26]  Wei Zhou,et al.  Current status of research on optimum sizing of stand-alone hybrid solar–wind power generation systems , 2010 .