Optimal design of stand alone photovoltaic system using evolutionary programming

This paper proposes the optimization of Photovoltaic-Battery system with MPPT-based charge controller using Evolutionary Programming in MATLAB. Therefore, this research includes the determination of appropriate system voltage, battery bank, Photovoltaic array and inverter needed in order to fulfill the required load. On the other hand, the selected photovoltaic module will be identified from different type of photovoltaic modules with and without using Evolutionary Programming which plays an important role in this system to get more efficient of photovoltaic module. Thus, the result is obtaining the cost of Stand Alone Photovoltaic system components. The data of load profile and solar irradiation are classified known from location in Tawau, Sabah.

[1]  Anjum Munir,et al.  Design and economics analysis of an off-grid PV system for household electrification , 2015 .

[2]  M. Vitelli,et al.  Load matching of photovoltaic field orientation in stand-alone distributed power systems , 2004, 2004 IEEE International Symposium on Industrial Electronics.

[3]  Prince Jose,et al.  Grid Connected Photovoltaic System with Fuzzy Logic Control Based MPPT , 2014 .

[4]  Shen Weixiang,et al.  Investigation of standalone photovoltaic systems , 2011, 2011 6th IEEE Conference on Industrial Electronics and Applications.

[5]  Chin Haw Lim,et al.  Renewable energy policy and initiatives in Malaysia , 2006 .

[6]  Weixiang Shen,et al.  Optimally sizing of solar array and battery in a standalone photovoltaic system in Malaysia , 2009 .

[7]  Ming Chen,et al.  Methodology for Precisely Estimating the Generation of Standalone Photovoltaic System , 2009, 2009 International Conference on Environmental Science and Information Application Technology.

[8]  T. Venkatesan,et al.  Performance calculation and probability lifecycle price investigation of standalone photovoltaic power supply for a residential applications , 2015, 2015 Online International Conference on Green Engineering and Technologies (IC-GET).

[9]  Jeeng-Min Ling,et al.  Optimal capacity planning for stand-alone photovoltaic generation in Taiwan , 2010, 2010 International Conference on Power System Technology.

[10]  M. S. Hossain,et al.  Global solar energy use and social viability in Malaysia , 2011, 2011 IEEE Conference on Clean Energy and Technology (CET).

[11]  S. M. Shaahid,et al.  Economic analysis of hybrid photovoltaic–diesel–battery power systems for residential loads in hot regions—A step to clean future , 2008 .