real-time demand side management algorithm using stochastic optimization

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ID: 256782
2018
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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.
Reference Key
acquah2018energiesreal-time Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Moses Amoasi Acquah;Daisuke Kodaira;Sekyung Han
Journal acs combinatorial science
Year 2018
DOI
10.3390/en11051166
URL
http://www.mdpi.com/1996-1073/11/5/1166
Keywords
stochastic optimization dimension reduction demand-side management

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