A Model Predictive Control Approach to Operation Optimization of an Ultracapacitor Bank for Frequency Control

Beus, Mateo; Krpan, Matej; Kuzle, Igor; Pandžić, Hrvoje; Parisio, Alessandra

doi:10.1109/tec.2021.3068036

Cited by 10 publications

(3 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…K. Siwek works at C2C NewCap, Lisbon, Portugal. (e-mail: dario.slaifstein@skoltech.ru, fm.ibanez@skoltech.ru, katarzyna.siwek@c2cnewcap.com) intermittent generation but also in power services, including frequency regulation and smoothing [1]- [4]. These demanding applications require a variety of storage technologies, from pumped hydro storage (PHS) to Li-ion batteries (LIB), which differ in energy (kWh) and power (kW) capabilities.…”

Section: Introductionmentioning

confidence: 99%

Supercapacitor Modeling: A System Identification Approach

Slaifstein

Ibanez

Siwek

2023

IEEE Trans. Energy Convers.

View full text Add to dashboard Cite

Recently a great deal of attention has been given to supercapacitors (SC) due to their outstanding power densities and long cycling life. Their behavior has been extensively analyzed and tested through several modeling approaches. One common technique for modeling the dynamic operation of SCs is through an electrical circuit model (ECM). This article presents a new approach to identifying ECM parameters by applying subspace system identification (SSID) algorithms and incorporating coulombic efficiency. This novel application of SSID improves model accuracy by almost 50% in some cases compared to the literature procedures. This was done without manual tuning of the parameters, risk of non-convergence or any prior knowledge. The approach was validated at three different temperatures and with experimental data from an electric motorcycle. The resulting models are ready to be used as building blocks in a wide range of applications such as energy management systems, renewable power generation, electric vehicles, and microgrids.

show abstract

Section: Introductionmentioning

confidence: 99%

Supercapacitor Modeling: A System Identification Approach

Slaifstein

Ibanez

Siwek

2023

IEEE Trans. Energy Convers.

View full text Add to dashboard Cite

show abstract

“…In our current energy landscape, energy storage systems (ESS) play a critical role not only in electric mobility and intermittent generation, but also in power services, including frequency regulation and smoothing [1]- [4]. These demanding applications require a variety of storage technologies, from pumped hydro storage (PHS) to Li-ion batteries (LIBs), which differ in energy (kWh) and power (kW) capabilities.…”

Section: Introductionmentioning

confidence: 99%

Supercapacitor modelling: a system identification approach

Slaifstein¹,

Ibanez²,

Siwek³

2022

Preprint

View full text Add to dashboard Cite

Modern hybrid storage systems (HESS) require different storage technologies to fulfill demanding power and energy requirements. Supercapacitors (SCs) are a common component of these systems due to their excellent power capabilities. This article presents a systematic and automatic approach to identifying equivalent circuit model (ECM) parameters by using subspace system identification. Our proposed approach overcomes many of the shortcomings of previous fitting procedures, such as manual tuning, with improved results. The developed algorithms were validated through experimental tests. The resulting models, which describe the dynamic performance of the SCs, are ready to be used as building blocks in a wide range of applications, including management systems, renewable generation and electric vehicles.

show abstract

“…In our current energy landscape, energy storage systems (ESS) play a critical role not only in electric mobility and intermittent generation but also in power services, including frequency regulation and smoothing [1]- [4]. These demanding applications require a variety of storage technologies, from pumped hydro storage (PHS) to Li-ion batteries (LIB), which differ in energy (kWh) and power (kW) capabilities.…”

Section: Introductionmentioning

confidence: 99%

Supercapacitor modelling: a system identification approach

Slaifstein¹,

Ibanez²,

Siwek³

2022

Preprint

View full text Add to dashboard Cite

<p>Recently a great deal of attention has been given to supercapacitors (SC) due to their outstanding power densities and long cycling lifetime. Their behavior has been extensively analyzed and tested through several types of modeling approaches. One common technique for modeling the dynamic operation of SCs is through an electrical circuit model (ECM). This article presents a new approach to identify ECM parameters by applying subspace system identification (SSID) algorithms. This novel application of SSID overcomes the disadvantages of previously presented parameter identification procedures for SCs with improved modeling accuracy. These disadvantages included manual tuning, local minima, and non-convergence. The novel approach was validated through experimental tests at several temperatures, reaching an improvement in model accuracy of almost 50% in some cases. The resulting models are ready to be used as building blocks in a wide range of applications such as energy management systems, renewable power generation, electric vehicles, and microgrids.</p>

show abstract

A Model Predictive Control Approach to Operation Optimization of an Ultracapacitor Bank for Frequency Control

Cited by 10 publications

References 32 publications

Supercapacitor Modeling: A System Identification Approach

Supercapacitor Modeling: A System Identification Approach

Supercapacitor modelling: a system identification approach

Supercapacitor modelling: a system identification approach

Contact Info

Product

Resources

About