Efflcient planning algorithms for battery energy storage applications in distribution feeders

The topic of Non-Wires Alternatives has avrently gained a lot of attention in the literature and industry alike. One of the Distributed Energy Resource (DER) types most commonly examined as an alternative solution to feeder issues is Battery Energy Sim age Systems (BESS). BESS has been investigated as a solution, amongst others, to thermal capacity deferral and PV integration problems for both the transmission and distribution sides of the grid. In this paper, we focus on distribution applications of storage and showcase efficient planning-level algorithms to utilize storage against two types of distribution feeder capacity shortages: (i) substation capacity deferral and (ii) voltage magnitude control. The proposed planning methods and algorithms combine computational efficiency with high granularity in time and location. We use generic distribution tree feeder topologies and loading data and hourly shapes to demonstrate our results. We also show how these methods fit in and expand traditional distribution planning and the benefits they can provide given the current status of distribution networks, DER and renewable penetration.