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Optimal Sizing and Siting of Multi-purpose Utility-scale Shared Energy Storage Systems

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Document pages: 6 pages

Abstract: This paper proposes a nondominated sorting genetic algorithm II (NSGA-II)based approach to determine optimal or near-optimal sizing and siting ofmulti-purpose (e.g., voltage regulation and loss minimization),community-based, utility-scale shared energy storage in distribution systemswith high penetration of solar photovoltaic energy systems. Small-scalebehind-the-meter (BTM) batteries are expensive, not fully utilized, and theirnet value is difficult to generalize and to control for grid services. On theother hand, utility-scale shared energy storage (USSES) systems have thepotential to provide primary (e.g., demand-side management, deferral of systemupgrade, and demand charge reduction) as well as secondary (e.g., frequencyregulation, resource adequacy, and energy arbitrage) grid services. Under theexisting cost structure, storage deployed only for primary purpose cannotjustify the economic benefit to owners. However, the delivery of storage forprimary service utilizes only 1-50 of total battery lifetime capacity. In theproposed approach, for each candidate set of locations and sizes, thecontribution of USSES systems to grid voltage deviation and power loss areevaluated and diverse Pareto-optimal front is created. USSES systems aredispersed through a new chromosome representation approach. From the list ofPareto-optimal front, distribution system planners will have the opportunity toselect appropriate locations based on desired objectives. The proposed approachis demonstrated on the IEEE 123-node distribution test feeder withutility-scale PV and USSES systems.

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