Application and modeling of battery energy storage in power systems

Xu, Xiaokang; Bishop, M.T.; Oikarinen, Donna G.; Chen, Hao

doi:10.17775/cseejpes.2016.00039

Cited by 148 publications

(61 citation statements)

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“…Reference [19] described various services offered by ESS, as depicted in Figure 5. Researchers are keen to explore the benefits of ESS utilizations to mitigate exploitation of renewable energy resources in utility grids.…”

Section: Compressed Air Energy Storage (Caes)mentioning

confidence: 99%

Impacts of Energy Storage System on Power System Reliability: A Systematic Review

Mohamad

Teh

2018

Energies

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Abstract:Research has found an extensive potential for utilizing energy storage within the power system sector to improve reliability. This study aims to provide a critical and systematic review of the reliability impacts of energy storage systems in this sector. The systematic literature review (SLR) is based on peer-reviewed papers published between 1996 and early 2018. Firstly, findings reveal that energy storage utilization in power systems is significant in improving system reliability and minimizing costs of transmission upgrades. Secondly, introduction of policies to shift from the use of fossil fuels to that of renewable energy positively affects energy storage system development. Thirdly, North America is an early pioneer of power system reliability and energy storage system studies. However, Asia has recently taken over the role, with China being the main driver. Research gaps within this field are also identified. This review can serve as basis for scholars in advancing the theoretical understanding of the reliability impacts of energy storage systems and in addressing the gaps within this field.

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Section: Compressed Air Energy Storage (Caes)mentioning

confidence: 99%

Impacts of Energy Storage System on Power System Reliability: A Systematic Review

Mohamad

Teh

2018

Energies

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“…where the two battery capacities, Q , can be found on the two discharge curves from the manufacturer's datasheet under two different temperatures 1 T and 2 T at the first cycle, as shown in Figure 3. …”

Section: Battery Capacity Degradation Considering Self-discharge Cycmentioning

confidence: 99%

A Generic Battery Model and Its Parameter Identification

Song¹,

Sun²,

Wang³

et al. 2018

EPE

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A new dynamic model is developed in this paper based on the generic MATLAB battery model. The battery capacity is expressed as a function of the self-discharge rate, the discharge current, the cycling life and the temperature of the battery. The dependence of the model parameters on cycle life and temperature are estimated from the first order approximation. The detailed procedures and formula to extract the model parameters are presented and the extraction relies only on the discharge curves at two different discharge currents, at two different life cycles, and at two different temperatures. These discharge curves are typically provided in the battery manufacturer's datasheet. The proposed model is verified for both nickel-metal hydride and lithium-ion batteries by comparing the calculated discharge curves with the results from the generic MATLAB model. The model is further validated for the Sinopoly lithium-ion battery (SP-LFP1000AHA) by comparing the model results with the discharge curves from the manufacturer's datasheet at different discharge currents, different cycling numbers, and different temperatures. Simulation results show that the new model can correctly predict voltage separation beyond the nominal zone while maintaining the same level of accuracy as the generic MATLAB model in the exponential and nominal zones.

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“…The d-q axis mathematical model for BESS as shown in Figure 2 is provided in Equation (2). It should be noted that the mathematical model could be different according to the converter system.…”

Section: Battery Energy Storage System Modelingmentioning

confidence: 99%

“…The installation of a battery energy storage system (BESS) in a microgrid (MG) provides a variety of MG services such as compensating for fluctuations in renewable power generation sources, voltage support, and frequency regulation [1][2][3][4][5]. The control strategy of the BESS converter plays a major role in the performance of a BESS.…”

Section: Introductionmentioning

confidence: 99%

An Energy-Based Control Strategy for Battery Energy Storage Systems: A Case Study on Microgrid Applications

et al. 2017

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Battery energy storage systems (BESSs) with proportional-integral (PI) control methods have been widely studied in microgrids (MGs). However, the performance of PI control methods might be unsatisfactory for BESSs due to the nonlinear characteristics of the system. To overcome this problem, an energy-based (EB) control method is applied to control the converter of a BESS in this study. The EB method is a robust nonlinear control method based on passivity theory with good performance in both transient and steady states. The detailed design process of the EB method in the BESS by adopting an interconnection and damping assignment (IDA) strategy is described. The design process comprises three steps: the construction of the port-controlled Hamiltonian model, the determination of the equilibrium point and the solution of the undetermined matrix. In addition, integral action is combined to eliminate the steady state error generated by the model mismatch. To establish the correctness and validity of the proposed method, we implement several case simulation studies based on a test MG system and compare the control performance of the EB and PI methods carefully. The case simulation results demonstrate that the EB method has better tracking and anti-disturbance performance compared with the classic PI method. Moreover, the proposed EB method shows stronger robustness to the uncertainty of system parameters.

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Application and modeling of battery energy storage in power systems

Cited by 148 publications

References 0 publications

Impacts of Energy Storage System on Power System Reliability: A Systematic Review

Impacts of Energy Storage System on Power System Reliability: A Systematic Review

A Generic Battery Model and Its Parameter Identification

An Energy-Based Control Strategy for Battery Energy Storage Systems: A Case Study on Microgrid Applications

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