Sharing Energy Storage Between transmission and distribution


The goal of this article is to figure out how to optimally coordinate, or "stack," energy storage services in systems without centralised markets. It focuses on how to coordinate congestion reduction at the transmission level with local, distribution-level goals. For this coordination, we describe and illustrate a unified Communication and optimization system. A weighted 11-norm goal is used in the congestion relief problem formulation. This method identifies a set of corrective actions, such as energy storage injections and traditional generation modifications, that minimise required departures from a scheduled timetable. We give two case examples to demonstrate how this coordination framework might be used. The first is based on a three-bus test system, while the second is based on a realistic portrayal of the United States' Pacific Northwest region. The findings show that the scheduling system reduces traffic congestion, saves money, and improves renewable energy integration. A live demonstration was designed in collaboration with the University of Washington, Doosan GridTech, Snohomish County PUD, and the Bonneville Power Administration based on the large-scale case study. The demonstration's purpose was to see if the scheduling system could function in a real-world setting with real-world energy storage assets. The results of the demonstration matched those of computational calculations.

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