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

Chao Lu, Hanchen Xu, Xin Pan and Jie Song
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Chao Lu: Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
Hanchen Xu: Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
Xin Pan: College of Engineering, Peking University, Beijing 100871, China
Jie Song: College of Engineering, Peking University, Beijing 100871, China

Energies, 2014, vol. 7, issue 12, 1-15

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.

Keywords: battery energy storage system; rolling load forecasting; peak load shaving; energy capacity; optimization model (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: 2014
References: View complete reference list from CitEc
Citations: View citations in EconPapers (21)

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