Load scheduling in smart buildings with bidirectional energy trading

Abstract

The advent of innovative power generation and storage systems introduces new opportunities of cost minimization for the demand response (DR) algorithms in smart grid (SG) technology. Conventional DR algorithms consider unidirectional flow of energy from power grid to the residential building. In this paper, we study an extended model of a smart residential building with hybrid energy system (e.g. connected with traditional electric grid and renewable energy sources) and bidirectional energy trading facility. This model not only allows a user to reduce the energy cost by storing the energy for the future usage, but also permits the user to earn revenue by selling surplus energy to the grid. Furthermore, we discuss an appliance-scheduling algorithm for the extended DR model.

Demand Side Management Studies on Distributed Energy Resources: A Survey

“…Of late, PEVs battery development has been stepped forward, so it now no longer can save huge share of pressure manage and supply again to a grid with the assist of V2G method while required, whose pile transferring restriction can assist enhancing the number one DSM shape. Regardless, they recall the unmarried domestic development with PEV charging plan difficulty but couldn't expand the close to research to a community out and decline the available pressure price (Moghaddam Arani & I. Mohamed, 2018) (Hasib, Nikitin, & Natvig, 2014).…”