[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.5370/JEET.2018.13.5.1864

Optimal Energy Shift Scheduling Algorithm for Energy Storage Considering Efficiency Model

Cho, Sung-Min (Energy New Business Laboratory, KEPCO Research Institute)

Publication Information

Journal of Electrical Engineering and Technology / v.13, no.5, 2018 , pp. 1864-1873 More about this Journal

Abstract

Energy shifting is an innovative method used to obtain the highest profit from the operation of energy storage systems (ESS) by controlling the charge and discharge schedules according to the electricity prices in a given period. Therefore, in this study, we propose an optimal charge and discharge scheduling method that performs energy shift operations derived from an ESS efficiency model. The efficiency model reflects the construction of power conversion systems (PCSs) and lithium battery systems (LBSs) according to the rated discharge time of a MWh-scale ESS. The PCS model was based on measurement data from a real system, whereas for the LBS, we used a circuit model that is appropriate for the MWh scale. In addition, this paper presents the application of a genetic algorithm to obtain the optimal charge and discharge schedules. This development represents a novel evolutionary computation method and aims to find an optimal solution that does not modify the total energy volume for the scheduling process. This optimal charge and discharge scheduling method was verified by various case studies, while the model was used to realize a higher profit than that realized using other scheduling methods.

Keywords

Energy storage; Efficiency modeling; Genetic algorithm; Optimal charge and discharge; Scheduling model;

Citations & Related Records

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