Energy Management Optimization in a Battery/Supercapacitor Hybrid Energy Storage System

Choi, M. Y.; Kim, Seong-Woo; Seo, Seung‐Woo

doi:10.1109/tsg.2011.2164816

Cited by 304 publications

(133 citation statements)

References 13 publications

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“…For the current state-of-the-art works on the subject, the reader is referred to papers such as [10][11][12][13][14][15]. Romaus et al [10] addressed the problem of controlling the power flows of a hybrid energy storage system combining batteries and double layer capacitors, and proposed the use of self-optimization methods that can consider various operating conditions and take into account several partly conflicting objective functions.…”

Section: System Configuration and Related Backgroundmentioning

confidence: 99%

“…The strengths of the proposed scheduling strategy are that the optimization results can not only satisfy the requirements of output power quality, but also have good prediction accuracy for the wind power output. Choi et al [12] presented an optimal energy management scheme based on the so-called the multiplicative-increase-additive-decrease (MIAD) policy for hybrid energy storage systems with the objectives of minimizing the magnitude/fluctuation of the battery current, and minimizing the supercapacitor energy loss. Gee et al [13] analyzed and implemented a battery lifetime extension strategy for a battery/supercapacitor hybrid energy storage system, in which current filtering using a low pass filter was proposed to divert the high-frequency component of the HPSS system charge/discharge current to the supercapacitor in real time.…”

Section: System Configuration and Related Backgroundmentioning

confidence: 99%

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Dynamic Power Management for Portable Hybrid Power-Supply Systems Utilizing Approximate Dynamic Programming

et al. 2015

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Abstract:Recently, the optimization of power flows in portable hybrid power-supply systems (HPSSs) has become an important issue with the advent of a variety of mobile systems and hybrid energy technologies. In this paper, a control strategy is considered for dynamically managing power flows in portable HPSSs employing batteries and supercapacitors. Our dynamic power management strategy utilizes the concept of approximate dynamic programming (ADP). ADP methods are important tools in the fields of stochastic control and machine learning, and the utilization of these tools for practical engineering problems is now an active and promising research field. We propose an ADP-based procedure based on optimization under constraints including the iterated Bellman inequalities, which can be solved by convex optimization carried out offline, to find the optimal power management rules for portable HPSSs. The effectiveness of the proposed procedure is tested through dynamic simulations for smartphone workload scenarios, and simulation results show that the proposed strategy can successfully cope with uncertain workload demands.

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Section: System Configuration and Related Backgroundmentioning

confidence: 99%

Section: System Configuration and Related Backgroundmentioning

confidence: 99%

Dynamic Power Management for Portable Hybrid Power-Supply Systems Utilizing Approximate Dynamic Programming

et al. 2015

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“…The structure of the DC link voltage control designed according to Equations (12) and (13) is shown in Figure 2, where ( ) represents for the closed loop transfer function of UC current which has been described in detail in the literature [11][12][13][14][15]. There will be special requirements for closed loop control of the UC current, which will be described later because of the special design of regulators in this paper.…”

Section: The Control Scheme Of the Energy Storage Side Convertermentioning

confidence: 99%

Improved Control Strategy for Microgrid Ultracapacitor Energy Storage Systems

Dou

Quan

et al. 2014

Energies

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Ultracapacitors (UCs), with their features of high power density and high current charge-discharge, have become the best choice for dynamic power compensation to improve the stability of microgrids and are increasingly being applied in microgrids. This paper presents the control of an energy storage system (ESS) based on ultracapacitors in the context of grid-connected microgrids. The ESS is composed of DC/AC and DC/DC converters tied by a dc link. An improved dynamic model for the ESS is proposed. Based on the proposed model a Proportional-Integral-Resonant (PIR) DC link voltage controller is proposed to maintain the DC link voltage through the charging-discharging control of ultracapacitors, capable of working properly under all operating conditions. An extra double frequency component is injected into the UC current by a R controller to dynamically compensate for DC instantaneous power and double frequency AC instantaneous power due to unbalanced grid conditions and disturbances. This feature maintains the DC link voltage constant under unbalanced conditions and increases the degrees of freedom of the DC/AC converter and thus facilitates the application of UCs in microgrids. Simulation and experimental results verify the effectiveness of the proposed control strategy. OPEN ACCESSEnergies 2014, 7 8096

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“…With regard to performance optimization of CESS, charge allocation, charge replacement and charge migration (i.e. storage efficiency or energy loss) are optimized in [16][17][18] which belong to internal optimization for module units in CESS, and the effects of the lifetime influencing factor or quantization lifetime of energy-type storage are analyzed in [3,[10][11][12] and [19]. Prolonging the service life of energytype storage has an important impact on the overall performance of CESS because the service life of energy type storage is usually much smaller than power-type storage.…”

Section: Introductionmentioning

confidence: 99%

“…Prolonging the service life of energytype storage has an important impact on the overall performance of CESS because the service life of energy type storage is usually much smaller than power-type storage. As indirect approaches to analyze the lifetime impact of energy-type storage, it shows that depth of discharge and current ripple of energy-type storage can be reduced by filter control of CESS through simulation in [11] and [12], and a method to minimize the output current fluctuation of energy-type storage in CESS is proposed in [19]. And the quantified improvement of LB lifetime effected by control strategy of CESS is directly analyzed in [3] and [10] based on the lifetime quantization model of energy-type storage.…”

Section: Introductionmentioning

confidence: 99%

Coordinated Control Strategy and Optimization of Composite Energy Storage System Considering Technical and Economic Characteristics

Li¹,

Xie²,

Zhao³

et al. 2015

Journal of Electrical Engineering and Technology

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-Control strategy and corresponding parameters have significant impacts on the overall technical and economic characteristics of composite energy storage systems (CESS). A better control strategy and optimized control parameters can be used to improve the economic and technical characteristics of CESS, and determine the maximum power and stored energy capacity of CESS. A novel coordinated control strategy is proposed considering the coordination of various energy storage systems in CESS. To describe the degree of coordination, a new index, i.e. state of charge coordinated response margin of supercapacitor energy storage system, is presented. Based on the proposed control strategy and index, an optimization model was formulated to minimize the total equivalent cost in a given period for two purposes. The one is to obtain optimal control parameters of an existing CESS, and the other is to obtain the integrated optimal results of control parameters, maximum power and stored energy capacity for CESS in a given period. Case studies indicate that the developed index, control strategy and optimization model can be extensively applied to optimize the economic and technical characteristics of CESS. In addition, impacts of control parameters are discussed in detail.

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Energy Management Optimization in a Battery/Supercapacitor Hybrid Energy Storage System

Cited by 304 publications

References 13 publications

Dynamic Power Management for Portable Hybrid Power-Supply Systems Utilizing Approximate Dynamic Programming

Dynamic Power Management for Portable Hybrid Power-Supply Systems Utilizing Approximate Dynamic Programming

Improved Control Strategy for Microgrid Ultracapacitor Energy Storage Systems

Coordinated Control Strategy and Optimization of Composite Energy Storage System Considering Technical and Economic Characteristics

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