Optimal ESS Scheduling for Peak Shaving of Building Energy Using Accuracy-Enhanced Load Forecast

Jin Sol Hwang, Ismi Rosyiana Fitri, Jung-Su Kim and Hwachang Song
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Jin Sol Hwang: Department of Electrical and Information Engineering, Seoul National University of Science and Technology, Seoul 01811, Korea
Ismi Rosyiana Fitri: Department of Electrical and Information Engineering, Seoul National University of Science and Technology, Seoul 01811, Korea
Jung-Su Kim: Department of Electrical and Information Engineering, Seoul National University of Science and Technology, Seoul 01811, Korea
Hwachang Song: Department of Electrical and Information Engineering, Seoul National University of Science and Technology, Seoul 01811, Korea

Energies, 2020, vol. 13, issue 21, 1-18

Abstract: This paper proposes an optimal Energy Storage System (ESS) scheduling algorithm Building Energy Management System (BEMS). In particular, the focus is placed on how to reduce the peak load using ESS and load forecast. To this end, first, an existing deep learning-based load forecast method is applied to a real building energy prediction and it is shown that the deep learning-based method leads to an accuracy-enhanced load forecast. Second, an optimization problem is formulated in order to devise an ESS scheduling. In the optimization problem, the objective function and constraints are defined such that the peak load is reduced; the cost for electricity is minimized; and the ESS’s lifetime is elongated considering the accuracy-enhanced load forecast, real-time electricity price, and the state-of-charge of the ESS. For the purpose of demonstrating the effectiveness of the proposed ESS scheduling method, it is implemented using a real building load power and temperature data. The simulation results show that the proposed method can reduce the peak load and results in smooth charging and discharging, which is important for the ESS lifetime.

Keywords: load forecast; energy storage system; peak shaving; building energy management system (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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