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Energies 2019, 12(4), 579; https://doi.org/10.3390/en12040579

Optimal Scheduling of Energy Storage Using A New Priority-Based Smart Grid Control Method

Electronical Engineering Department, University of Seville, 41092 Seville, Spain
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Received: 16 January 2019 / Revised: 9 February 2019 / Accepted: 12 February 2019 / Published: 13 February 2019
(This article belongs to the Special Issue Distributed Energy Resources Management 2018)
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Abstract

This paper presents a method to optimally use an energy storage system (such as a battery) on a microgrid with load and photovoltaic generation. The purpose of the method is to employ the photovoltaic generation and energy storage systems to reduce the main grid bill, which includes an energy cost and a power peak cost. The method predicts the loads and generation power of each day, and then searches for an optimal storage behavior plan for the energy storage system according to these predictions. However, this plan is not followed in an open-loop control structure as in previous publications, but provided to a real-time decision algorithm, which also considers real power measures. This algorithm considers a series of device priorities in addition to the storage plan, which makes it robust enough to comply with unpredicted situations. The whole proposed method is implemented on a real-hardware test bench, with its different steps being distributed between a personal computer and a programmable logic controller according to their time scale. When compared to a different state-of-the-art method, the proposed method is concluded to better adjust the energy storage system usage to the photovoltaic generation and general consumption. View Full-Text
Keywords: batteries; energy storage; microgrids; optimal scheduling; particle swarm optimization; power system management; smart grid; supply and demand; trade agreements batteries; energy storage; microgrids; optimal scheduling; particle swarm optimization; power system management; smart grid; supply and demand; trade agreements
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Galván, L.; Navarro, J.M.; Galván, E.; Carrasco, J.M.; Alcántara, A. Optimal Scheduling of Energy Storage Using A New Priority-Based Smart Grid Control Method. Energies 2019, 12, 579.

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