A genetic algorithm based battery model for Stand Alone Radio Base Stations powering

This paper focuses on energy storage devices to be used in Stand Alone and Radio Base Stations powering, where performance analysis of different storage systems must be made taking into account the typical operating conditions. A Lithium Polymer (LiPo) cell model whose parameters have been identified through a combination of least mean square and genetic algorithms has been used to simulate the behavior of the Energy Storage System (ESS) used in a photovoltaic Stand Alone Power Systems (SAPS). Two different simulations are proposed. In the first simulation the ESS is dimensioned to be able to power the load for a five days period. In the second simulation the ESS is dimensioned to work as an energy buffer for a period of 24 hours, storing exceeding photovoltaic energy during sunny hours to furnish it back to the load during dark hours.