Real Time Multi-Objective Energy Management of a Smart Home

Home energy management comes under the umbrella of decentralized demand response techniques, where home occupants schedule their appliances for achieving lowest energy cost at minimum discomfort level. However, smart home energy management becomes challenging due to penetration of intermittent rooftop storage collocated solar power generations. In view with this, the present article illustrates a multi-objective real time residential load management topology considering random variation in rooftop solar power and distribution grid energy price. Initially the problem is developed as a time average stochastic optimization problem which is further simplified to a mixed integer linear programming by utilizing the idea of Lyapunov optimization. Ocular and thermal discomfort minimization are attached with the energy cost minimization objective to lower the discomfort level due to real time load management actions. The proposed technique is validated on a real life residential data and it has been established that the derived strategy can optimally control the domestic loads in real time. The controls for the residential loads are also realized using internet of things (IoT) based controller.