4.7 Article

An Adaptive Energy Management Strategy of Stationary Hybrid Energy Storage System

期刊

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TTE.2022.3150149

关键词

Batteries; Substations; Energy management; Power distribution; Voltage control; Discharges (electric); State of charge; Battery; energy management strategy (EMS); hybrid energy storage system (HESS); rail transportation power system (RTPS); supercapacitor (SC)

资金

  1. National Innovation Center of High Speed Train (Qingdao)

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This article proposes an adaptive energy management framework for stationary energy storage systems (ESS) using a battery-supercapacitor hybrid ESS. The advantages of this stationary hybrid ESS are demonstrated through an example. The proposed power distribution strategy solves the adaptability issue of two energy storage media to the load variation of rail transportation power systems, delaying battery degradation. Simulation and experimental results show that the proposed energy management strategy outperforms conventional strategies in terms of energy conservation rate, voltage stabilization rate, and battery current.
In order to further improve the energy-saving and voltage stabilizing effect of the stationary energy storage system (ESS), this article tries to adopt the battery-supercapacitor (SC) hybrid ESS (HESS) as stationary ESS. The advantages of stationary HESS are verified by an example. An adaptive energy management framework for stationary HESS is proposed. A power distribution strategy is proposed to solve the adaptability of two energy storage media to the load variation of rail transportation power system, and to a certain extent, the battery degradation is delayed. The proposed strategy can not only realize the reasonable power-sharing between battery and SC considering the influence of headway on regenerative braking energy but also can keep the battery's charge and discharge capacity for a long time by using fuzzy logic control (FLC). A simulation is carried out to illustrate the advantages of the proposed energy management strategy (PEMS). Finally, the PEMS is compared with two conventional strategies by the hardware-in-the-loop experiment platform, where it is shown to provide better performance (inferred through increases of 1.1% and 5.7% in energy conservation rate, 0.82% and 6.4% in voltage stabilization rate, and reduction of 2.26 and 0.36 A in the root-mean-square value of battery current at different headway).

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