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Energies 2014, 7(12), 8396-8410; doi:10.3390/en7128396

Optimal Sizing and Control of Battery Energy Storage System for Peak Load Shaving

1
Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
2
Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
3
College of Engineering, Peking University, Beijing 100871, China
*
Author to whom correspondence should be addressed.
Received: 8 October 2014 / Revised: 24 November 2014 / Accepted: 2 December 2014 / Published: 15 December 2014
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Abstract

Battery Energy Storage System (BESS) can be utilized to shave the peak load in power systems and thus defer the need to upgrade the power grid. Based on a rolling load forecasting method, along with the peak load reduction requirements in reality, at the planning level, we propose a BESS capacity planning model for peak and load shaving problem. At the operational level, we consider the optimal control policy towards charging and discharging power with two different optimization objectives: one is to diminish the difference between the peak load and the valley load, the other is to minimize the daily load variance. Particularly, the constraint of charging and discharging cycles, which is an important issue in practice, is taken into consideration. Finally, based on real load data, we provide simulation results that validate the proposed optimization models and control strategies. View Full-Text
Keywords: battery energy storage system; rolling load forecasting; peak load shaving; energy capacity; optimization model battery energy storage system; rolling load forecasting; peak load shaving; energy capacity; optimization model
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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MDPI and ACS Style

Lu, C.; Xu, H.; Pan, X.; Song, J. Optimal Sizing and Control of Battery Energy Storage System for Peak Load Shaving. Energies 2014, 7, 8396-8410.

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