Energy Storage Power and Energy Sizing and Specification Using HSSPFC

Bijaieh, Mehrzad Mohammadi; Weaver, Wayne W.; Robinett, Rush D.

doi:10.3390/electronics9040638

Cited by 8 publications

(3 citation statements)

References 28 publications

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“…For that, the authors proposed an iterative procedure based on time-domain simulations that considers the battery permissible overload coefficient and duration. Bijaieh et al (2020a) and Bijaieh et al (2020b) presented a control-based approach applying the Hamiltonian surface shaping and power flow control to size the ESS and to address how communication and controller bandwidth can affect the sizing and filtering requirements. For large ACPSs with high penetration of CIGs, Knap et al (2016) introduced a methodology to size ESSs for the provision of inertial response and primary frequency regulation.…”

Section: Introductionmentioning

confidence: 99%

Sizing of Hybrid Energy Storage Systems for Inertial and Primary Frequency Control

Alves¹,

Mota²,

Tedeschi³

2021

Front. Energy Res.

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The exponential rise of renewable energy sources and microgrids brings about the challenge of guaranteeing frequency stability in low-inertia grids through the use of energy storage systems. This paper reviews the frequency response of an ac power system, highlighting its different time scales and control actions. Moreover, it pinpoints main distinctions among high-inertia interconnected systems relying on synchronous machines and low-inertia systems with high penetration of converter-interfaced generation. Grounded on these concepts and with a set of assumptions, it derives algebraic equations to rate an energy storage system providing inertial and primary control. The equations are independent of the energy storage technology, robust to system nonlinearities, and rely on parameters that are typically defined by system operators, industry standards, or network codes. Using these results, the authors provide a step-by-step procedure to size the main components of a converter-interfaced hybrid energy storage system. Finally, a case study of a wind-powered oil and gas platform in the North Sea demonstrates with numerical examples how the proposed methodology 1) can be applied in a practical problem and 2) allows the system designer to take advantage of different technologies and set specific requirements for each storage device and converter according to the type of frequency control provided.

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Section: Introductionmentioning

confidence: 99%

Sizing of Hybrid Energy Storage Systems for Inertial and Primary Frequency Control

Alves¹,

Mota²,

Tedeschi³

2021

Front. Energy Res.

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“…The ESS is considered to be ideal and may include single or hybrid storage systems such as battery energy storage systems (BESS), flywheels, or super-capacitor banks. Dynamics of the ESS can be expressed as: [20]. In case of a battery, the SOC can be calculated as:…”

Section: ) Essmentioning

confidence: 99%

Low-bandwidth Modular Mathematical Modeling of DC Microgrid Systems for Control Development with Application to Shipboard Power Systems

Bijaieh

Vedula

Anubi

2021

2021 IEEE Electric Ship Technologies Symposium (ESTS)

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In recent years, DC and AC microgrid (MG) systems have attracted a major attention due to various potential for integration of future technology into conventional systems and control. The integration of such technology requires appropriate tools for complex design, analysis and optimization. This paper presents a mathematical low-bandwidth modeling (LBM) approach that can be used for control development in DC and further be extended to AC MG systems. In this work, first a simplified mathematical model of a medium voltage DC (MVDC) shipboard MG system is presented, next, the overall system-level connection convention is presented to display the overall mathematical coupling of the individual subsystems, then, a simplified example of the control development is presented, and last, the overall system under a test scenario is implemented in Simulink Real-time.

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“…Lumped ESSs comprising hybrid energy storage system, battery energy storage system (BESS), flywheels is considered as main PCM components in this work. The dynamics of BESS used in this work and the battery current calculations are based on [10]. The following dynamics present the relationship between the SoC of the battery and the power injected p b :…”

Section: Pcm Model and Esss Degradation Modelmentioning

confidence: 99%

Degradation Aware Predictive Energy Management Strategy for Ship Power Systems

Vedula¹,

Bijaieh²,

Boateng³

et al. 2021

Preprint

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Integration of modern defence weapons into ship power systems poses a challenge in terms of meeting the high ramp rate requirements of those loads. It might be demanding for the generators to meet the ramp rates of these loads. Failure to meet so, might lead to stability issues. This is addressed by conglomeration of generators and energy storage elements to handle the required power demand posed by loads. This paper proposes an energy management strategy based on model predictive control that incorporates the uncertainty in the load prediction. The proposed controller optimally coordinates the power split between the generators and energy storage elements to guarantee that the power demand is met taking into considerations the ramp rate limitations and the load uncertainty. A low bandwidth model consisting of a single generator and a single energy storage element is used to validate the results of the proposed energy management strategy. The results demonstrate the robustness of the controller under load prediction uncertainty and demonstrate the effect of load uncertainty on battery capacity loss.

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Energy Storage Power and Energy Sizing and Specification Using HSSPFC

Cited by 8 publications

References 28 publications

Sizing of Hybrid Energy Storage Systems for Inertial and Primary Frequency Control

Sizing of Hybrid Energy Storage Systems for Inertial and Primary Frequency Control

Low-bandwidth Modular Mathematical Modeling of DC Microgrid Systems for Control Development with Application to Shipboard Power Systems

Degradation Aware Predictive Energy Management Strategy for Ship Power Systems

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