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Accomplishing Approximately Zero Energy Buildings with Battery Storage Using FLANN Optimization

Residential sector requires around 40% of total power usage and the predicted growth of its consumption is around 34% in coming years. Demand side management has paramount potential for controlling the scenario of residential load consumption patterns with reduced peak period. This proposed application will try to achieve the user comfort along with the cost benefits. In order to achieve these energy cost benefits, the power consumption curves of shift-able appliances are varying based on real time pricing criteria. In this paper, the concept of battery storage and SOC (state of charge) for controlling the power exchange from the main grid mainly during peak hours has been implemented. This study will make the efficient use of renewable sources of energy and give rise to new concept of approximately zero energy buildings. In this study, the main objective is to lower the peak average ratio (PAR) and lower the electricity cost without affecting their energy demand. In this regard, this paper proposes demand side management using Functional link artificial neural network algorithm (FLANN) to maintain the consumer demand and supply. Analysis is done on simulation software MATLAB.