Network-aware approach for energy storage planning and control in the network with high penetration of renewables

Khashayar Mahani, Farbod Farzan and Mohsen A. Jafari

Applied Energy, 2017, vol. 195, issue C, 974-990

Abstract: In this paper, we consider multiple energy storage nodes distributed over a power distribution network, and are purposed for multiple applications. The research problems of interests are to optimally locate these nodes over the distribution network and to create day-ahead plans according to planned applications. The two problems are formulated as stochastic optimization problems, and hourly and time-aggregated approximate solutions are presented. The approximation identifies time periods where load and generation patterns demonstrate low variability, and marks the whole period as a single time zone, thus significantly reducing the number of decision variables and the overall problem size. We show that aggregate and hourly planning solutions are close. The planning problem can handle any number of storage nodes with general topology and load connections, and deterministic or stochastic capacities. In this paper, we focus on network of static energy storages with deterministic capacity. Finally, we build a novel rule based control scheme for the near real time operation of the storage network by mining the statistical relationship between input and optimal charge and discharge patterns.

Keywords: Network-aware planning and control; Energy storage network; Data-driven control; Optimal planning; Community level micro-grid (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (15)

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DOI: 10.1016/j.apenergy.2017.03.118

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