Minimizing Energy Loss for Multiple Load Power Flow Assignment in Smart Homes

Abstract

Nowaday, it is a great challenge to design the Energy storage system (ESS) with the renewable energy (RE) resources in the distributed energy systems. The intermittent nature of energy makes that the RE resources are unstable energy resources and becomes very difficult to use in the house level environment. In this paper, we consider a distributed power flow system (DPFS), which consists of uncontrollable power generators, unpredictable usage of power loads, and multiple ESSs, in which their different combinations of logical power connections to minimize the energy loss. We propose a multiple load power flow assignment (MPFA) with load shifting algorithm to deal the logical power connection via single ESS or multiple ESSs to mitigate the possibility of energy loss reduction and to improve the energy efficiency of DPFS in the smart home domain. Simulation results reveal that the proposed algorithms can significantly reduce the energy loss in winter and summer seasons. Numerically, the proposed MPFA algorithms with load shifting algorithm can reduce more energy loss by about 11.4% and 13.8% during winter and summer, respectively. Our numerical results also show that the highest energy loss is in spring compared to other three seasons.