Renewable Energy Management Algorithm for a Water Pumping System.

Intelligent algorithms for optimal management of renewable power applied to an autonomous hybrid system for water pumping are presented in this paper. The hybrid system combines a wind turbine (WT) with photovoltaic panels (PV) as the sources of energy, storing energy in a battery bank. The algorithm aims to ensure the system autonomy, a continuous load supply and a safe operation for the battery bank, with the load considered the water pumping in a rural area. After presenting the modeling of the various elements that consititute the system, three algorithms: TOR, Fuzzy Logic and Genetics Algorithms are studied for deciding the connection of battery bank and the different energy sources to the local microgrid. These three techniques are then compared using a simulated water pumping system, showing that they effectively optimize the use of renewable energy to meet the load demand and to ensure a safe operation for the Battery Bank. [ABSTRACT FROM AUTHOR]