Optimal Scheduling Model of a Battery Energy Storage System in the Unit Commitment Problem Using Special Ordered Set

Nonlinear characteristics of a battery energy storage system (BESS) may cause errors in the stored energy between the operation plan and the actual operation. These errors may hinder the reliability of the power system especially in environments such as microgrids with limited power generation resou...

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Bibliographic Details
Main Authors: Do, I. (Author), Lee, S. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Online Access:View Fulltext in Publisher
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020 |a 19961073 (ISSN) 
245 1 0 |a Optimal Scheduling Model of a Battery Energy Storage System in the Unit Commitment Problem Using Special Ordered Set 
260 0 |b MDPI  |c 2022 
856 |z View Fulltext in Publisher  |u https://doi.org/10.3390/en15093079 
520 3 |a Nonlinear characteristics of a battery energy storage system (BESS) may cause errors in the stored energy between the operation plan and the actual operation. These errors may hinder the reliability of the power system especially in environments such as microgrids with limited power generation resources and high uncertainty. This study proposes a method to alleviate the occurrence of such errors in the charging/discharging scheduling process of the BESS by piecewise linearizing its nonlinear characteristics. Specifically, the stored energy in a BESS that changes nonlinearly according to the size of the charging/discharging power was modeled using the special ordered set of the type 2 (SOS2) method. The proposed model and the typical BESS-operation models with constant power conditioning system (PCS) input/output power efficiency were applied to the unit commitment (UC) problem in a microgrid environment, and the results were compared with the actual operation results. The proposed model operated similarly to the actual operation compared to the typical model, reducing the error in charging/discharging energy. Consequently, the proposed model was made cost-effective by reducing the cost of error correction and reduced the risk of deviating from operating range of the BESS. This study demonstrates that the proposed method can efficiently solve the operational problems caused by the nonlinear characteristics of BESS. © 2022 by the authors. Licensee MDPI, Basel, Switzerland. 
650 0 4 |a Battery energy storage system 
650 0 4 |a battery energy storage system (BESS) 
650 0 4 |a Battery energy storage systems 
650 0 4 |a Battery storage 
650 0 4 |a Charging (batteries) 
650 0 4 |a Cost effectiveness 
650 0 4 |a Error correction 
650 0 4 |a Integer Linear Programming 
650 0 4 |a Integer programming 
650 0 4 |a microgrid 
650 0 4 |a Microgrid 
650 0 4 |a Mixed integer linear 
650 0 4 |a Mixed-integer linear programming 
650 0 4 |a mixed-integer linear programming (MILP) 
650 0 4 |a Nonlinear characteristics 
650 0 4 |a piecewise linearization 
650 0 4 |a Piecewise linearization 
650 0 4 |a Scheduling 
650 0 4 |a Secondary batteries 
650 0 4 |a Set theory 
650 0 4 |a Special ordered set of type 2 
650 0 4 |a special ordered set of type 2 (SOS2) 
650 0 4 |a Special ordered sets 
700 1 |a Do, I.  |e author 
700 1 |a Lee, S.  |e author 
773 |t Energies