Modeling Renewables Based Hybrid Power System with Desalination Plant Load Using Neural Networks
Hybrid power system is seen as a viable alternative to the conventional systems. Estimating the potential of these hybrid power systems for a selected site is a major input required for making informed decisions. Often, estimation of the kWhr production is a very elaborate and tedious exercise due to lack of a reliable model for the same. This article proposed an Artificial Neural Network based model that can be used to easily estimate the total kWhr/year for a given combination of Solar PV, Wind generator and Battery. The variable load considered for the model is a desalination plant load. The data is modelled using Neural Network and validated. The proposed Neural Network model offers a reliable estimation on the total annual power generation for a given combination of Solar PV, Wind generator and battery capacity,
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, ISSN :2160-3162, Print ISBN: 978-1-4673-0931-8 doi: 10.1109/IICPE.2012.6450437