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Energies 2018, 11(5), 1166; https://doi.org/10.3390/en11051166

Real-Time Demand Side Management Algorithm Using Stochastic Optimization

Department of Electrical Engineering, Kyungpook National University, 80 Daehak-ro, Sangyeok-dong, Buk-gu, Daegu 41566, Korea
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Received: 4 April 2018 / Revised: 27 April 2018 / Accepted: 2 May 2018 / Published: 7 May 2018
(This article belongs to the Section Energy Storage and Application)
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Abstract

A demand side management technique is deployed along with battery energy-storage systems (BESS) to lower the electricity cost by mitigating the peak load of a building. Most of the existing methods rely on manual operation of the BESS, or even an elaborate building energy-management system resorting to a deterministic method that is susceptible to unforeseen growth in demand. In this study, we propose a real-time optimal operating strategy for BESS based on density demand forecast and stochastic optimization. This method takes into consideration uncertainties in demand when accounting for an optimal BESS schedule, making it robust compared to the deterministic case. The proposed method is verified and tested against existing algorithms. Data obtained from a real site in South Korea is used for verification and testing. The results show that the proposed method is effective, even for the cases where the forecasted demand deviates from the observed demand. View Full-Text
Keywords: demand-side management; peak demand control; dynamic-interval density forecast; stochastic optimization; dimension reduction; battery energy-storage system (BESS) demand-side management; peak demand control; dynamic-interval density forecast; stochastic optimization; dimension reduction; battery energy-storage system (BESS)
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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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Amoasi Acquah, M.; Kodaira, D.; Han, S. Real-Time Demand Side Management Algorithm Using Stochastic Optimization. Energies 2018, 11, 1166.

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