Residential Flat Building Energy Management under Random Energy Price, Solar Power and Load

This article illustrates a real time centralized energy management process for a residential flat building under randomly updated energy price, rooftop solar generation and load demand at each flat. The residents at each flat are considered to be non-identical as far as their response towards respective power consumption are concerned, which is modelled as utility function of the flat occupants. The derived optimization problem is solved by utilizing Lyapunov optimization technique, which does not require the probabilistic estimation of the uncertain parameters but only their real time values. Convexity of the derived problem is validated to proof the existence of only one optimum result i.e. global minima. Proposed real time energy management process is implemented on a building having four flats. Superiority of the proposed strategy is established by comparing with another real time method named greedy algorithm.