Artificial Intelligence Techniques for Controlling PV- Wind Powered Rural Zone in Egypt

Abstract

In remote areas, electricity could still be available if  stand-alone  renewable  electricity  power  sources  are  used  .One  of  the  most  promising  applications  of  renewable  energy  technology  is  the  installation  of  hybrid  energy  systems,  where  the  cost  of  grid  extension  is  prohibitive  and  the  price  of  fuel  increases drastically with the remoteness of the location. It has been demonstrated that hybrid energy systems can significantly reduce  the  total  life  cycle  cost  of  stand-alone  power  supply,  while  at  the  same  time  providing  a  more  reliable  supply  of  electricity  .Due  to  the  high  nonlinearity  characterizing  the  PV-Wind hybrid system it would be impractical to develop rigorous mathematical  model  and  at  the  same  time  obtain  a  simple  and  effective controller.In this paper, a control system, which includes either the Neural Network  Controller  (NNC)  or  the  Fuzzy  Logic.  Controller  (FLC)  controller  is  developed  for  achieving  the  coordination  between  the  components  of  a  PV-Wind  hybrid  system  as  well  as  control  the  energy  flows.  The  performance  of  the  system  is  evaluated  by  comparing  the  performance  of  the  system  using  the  NNC  and  the  FLC.  Also,  this  work  presents  a  complete  mathematical  modeling  and  MATLAB  simulink  model  for  the  different components of the hybrid system.