Optimal Utilization of Community Battery Energy Storage with differential Battery Tariffs

Abstract

Community Housings are proliferating, especially with funded developments in specialist disability accommodation, retirement living, and luxury front. Sharing of energy storage in community housing takes away the burden of investing in energy storage from the individual house owners. This paper presents an adaptive community battery energy sharing scenario with differential tariffs to buy energy from the battery. This paper considers a community of townhouses, each equipped with its grid-connected photovoltaic system and a community battery invested by the building management. Mixed Integer Linear Programming (MILP) is used to optimize the electricity bill of each household, the revenue for the building management as well as the usage of the community battery system. The simulation results provide optimized power allocation among the grid and the community battery, minimizing the import of power from the grid and thereby reducing the electricity bill.