An Optimization Framework to Implement Demand Side Management in Hybrid Buildings

In recent times, immense research and initiatives have been carried out to transform the traditional gird into supremely efficient smart grid (SG). An essential section of SG is demand side management (DSM) that facilitates to utilize energy in a prudent way by maneuvering the loads besides following the mainstream concept of augmenting the power production capacity, and also commensurately curbs the noxious carbon dioxide and sulfur dioxide production. In this paper, the prime motive is to bring the peak to average ratio (PAR) closer to unity of a hybrid building consisting of both residential and commercial customers, which has been an emerging sector in developing countries, by implementing smart strategies of DSM. An effective algorithm based upon DSM methodologies has been formulated keeping in consideration the cardinal comfort constraints of users. The proposed algorithm's efficacy to minimize PAR of a hybrid community has been demonstrated through MATLAB simulation results. The propitious outcomes have shown that DSM strategies could be adopted for hybrid sector by the utility providers with the help of smart energy meters in future without the necessity of manual load controlling during exigencies and avoiding the most undesirable approach of load shedding.