Optimal Sizing and Placement of Distributed Storage in Low Voltage Networks
For distribution network operators, this method makes storage sizing and placement tractable for longer investment horizons, enabling economic viability assessments of distributed vs. centralized storage in high-PV grids.
This paper proposes a novel algorithm (FBS-OPF) for optimal sizing and placement of storage in low voltage networks, demonstrating that distributed storage configurations are preferable to centralized ones due to reduced PV curtailment in the CIGRE LV test grid.
This paper proposes a novel algorithm to optimally size and place storage in low voltage (LV) networks based on a linearized multiperiod optimal power flow method which we call forward backward sweep optimal power flow (FBS-OPF). We show that this method has good convergence properties, its solution deviates slightly from the optimum and makes the storage sizing and placement problem tractable for longer investment horizons. We demonstrate the usefulness of our method by assessing the economic viability of distributed and centralized storage in LV grids with a high photovoltaic penetration (PV). As a main result, we quantify that for the CIGRE LV test grid distributed storage configurations are preferable, since they allow for less PV curtailment due to grid constraints.