Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Electrical Engineering
Published in: Electrical Engineering 1/2020

14-12-2019 | Original Paper

Performance evaluation of grid-connected power conversion systems integrated with real-time battery monitoring in a battery energy storage system

Authors: Yoong Yang Leow, Chia Ai Ooi, Muhammad Najwan Hamidi

Published in: Electrical Engineering | Issue 1/2020

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

This paper aims at investigating power conversion system (PCS) and lithium-ion (Li-ion) cells employed in a grid-connected battery energy storage system (BESS). For PCS, the work evaluates the efficiency performance among the four topologies commonly used in power grid using PSIM. The output power, DC link voltage, semiconductor devices’ configurations and pulse width modulation method are the four parameters which are set constant in order to obtain a fair comparison among the topologies. From the simulations, it was observed that direct DC–AC inverters (98.3–99.1%) yield better efficiency performance compared to conventional DC–AC inverters (98.1–99.0%). Besides, a Li-ion cell is monitored during its charge and discharge cycles where state of charge is estimated via the combination of Coulomb counting and open-circuit voltage method. State of health is predicted by measuring the battery capacity in an experimental setup which aims to predict battery remaining useful life, hence improving the reliability of a BESS.
previous article Development of a Schwarz–Christoffel-based model for the PM Vernier machines
next article Brushless wound rotor synchronous machine with third-harmonic field excitation

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
Literature
1.
Williard ND (2011) Degradation analysis and health monitoring of lithium-ion batteries. University of Maryland (USA)
2.
Cao W, Xu Y, Han Y, Ren B (2016) Comparison of cascaded multilevel and modular multilevel converters with energy storage system. In: 2016 IEEE 11th conference on industrial electronics and applications (ICIEA), pp 290–294
3.
Isen E, Bakan AF (2012) 10 kW grid-connected three-phase inverter system: control, simulation and experimental results, pp 836–840
4.
Yang L, Li Y, Li Z, Wang P, Xu S, Gou R (2017) A simplified analytical calculation model of average power loss for modular multilevel converter. IEEE Trans Ind Electron 66(3):2313–2322CrossRef
5.
Wei K, Zhang C, Gong X, Kang T (2017) The IGBT losses analysis and calculation of inverter for two-seat electric aircraft application. Energy Procedia 105:2623–2628CrossRef
6.
Thielemans S, Ruderman A, Reznikov B, Melkebeek JAA (2010) Self-precharge for single-leg odd-level multilevel converter. In: 5th IET international conference on power electronics, machines and drives (PEMD 2010), pp 1–6
7.
Marzoughi A, Burgos R, Boroyevich D, Xue Y (2017) Design and comparison of cascaded h-bridge, modular multilevel converter and 5-L active neutral point clamped topologies for motor drive application. IEEE Trans Ind Appl 54(2):1404–1413CrossRef
8.
Wang D, Bao Y, Shi J (2017) Online lithium-ion battery internal resistance measurement application in state-of-charge estimation using the extended Kalman filter. Energies 10(9):1284CrossRef
9.
Xiong R, Yu Q, Wang LY (2017) Open circuit voltage and state of charge online estimation for lithium ion batteries. Energy Procedia 142:1902–1907CrossRef
10.
11.
Le D, Tang X (2011) Lithium-ion battery state of health estimation using ah-v characterization. In: Annual conference of the prognostics and health management society, pp 367–373
12.
Hu C, Jain G, Tamirisa P, Gorka T (2014) Method for estimating capacity and predicting remaining useful life of lithium-ion battery. In: 2014 International conference on prognostics and health management. Cheney, WA, pp 1–8
13.
Ooi CA (2016) Balancing control for grid-scale battery energy storage system. Cardiff University
14.
Ashraf MIBA, Ooi CA, Dahaman I, Teh J (2018) SoC balancing control for ON/OFF-line internal cells using hybrid modular multi-level converter and parallel modular dual L-bridge in a grid-scale battery energy storage system. IEEE Access 7:131–147
15.
Alamri B, Darwish M (2014) Precise modelling of switching and conduction losses in cascaded h-bridge multilevel inverters. In: 2014 49th international universities power engineering conference (UPEC), pp 1–6
16.
Rao N, Chamud D (2014) Calculating power losses in an IGBT module. Appl Note, pp 1–16
17.
Graovac D, Pürschel M, Kiep A (2006) MOSFET power losses: calculation using the datasheet parameters. Appl Note 1–23
18.
Soong T, Lehn PW (2014) Evaluation of emerging modular multilevel converters for BESS applications. IEEE Trans Power Deliv 29:2086–2094CrossRef
19.
Hui Z, Khambadkone AM, Kazuya O (2015) Investigation and loss comparison of 6.6 kV 5-level converters. In: 2015 IEEE applied power electronics conference and exposition (APEC), pp 297–303
20.
Choudhury TR, Sinha S, Nayak B (2015) Comparative analysis and simulation of different topologies of multilevel inverter. In: 2015 IEEE power, communication and information technology conference (PCITC), pp 84–88
21.
Nordvall A (2011) Multilevel inverter topology survey. Chlamers University of Technology
22.
Chang-xin M, Li-ping S, Tai-xu W, Cheng-bao C (2009) Flying capacitor multilevel inverters with novel PWM method. Procedia Earth Planet Sci 1:1554–1560CrossRef
23.
Kurwalel MV, Sharma PG, Bache G (2014) Performance analysis of modular multilevel converter (MMC) with continuous and discontinuous pulse width modulation (PWM). Int J Adv Res Electr Electron Instrum Eng 3:7463–7474
24.
Corzine K (2018) Operation and design of multilevel inverters. University of Missouri-Rolla
25.
Rathore S, Kirar MK, Bhardwaj SK (2015) Simulation of cascaded H-bridge multilevel inverter using PD, POD, APOD techniques. Electr Comput Eng Int J 4:27–41CrossRef
26.
Babkrani Y, Naddami A, Hayani S, Hilal M, Fahli A (2017) Simulation of cascaded H-bridge multilevel inverter with several multicarrier waveforms and implemented with PD, POD and APOD techniques. In: 2017 International renewable and sustainable energy conference (IRSEC), Tangier, pp 1–6
27.
Angulo M, Lezana P, Kouro S, Rodriguez J, Wu B (2007) Level-shifted PWM for cascaded multilevel inverters with even power distribution. In: 2007 IEEE power electronics specialists conference. Orlando, FL, pp 2373–2378
28.
Xiao M, Xu Q, Ouyang H (2017) An improved modulation strategy combining phase shifted PWM and phase disposition PWM for cascaded H-bridge inverters. Energies 10:1327CrossRef
29.
Khalkho AM, Das S, Chattopadhyay AK (2015) Phase disposition PWM five-level inverter short switch diagnosis using DWT and ANN. In: Michael Faraday IET international summit 2015, pp 403–409
30.
Mnider AM, Atkinson DJ, Dahidah M, Armstrong M (2016) A simplified DQ controller for single-phase grid-connected PV inverters. In: 2016 7th international renewable energy congress (IREC), pp 1–6
31.
Tian J, Rui X, Yu Q (2019) Fractional-order model-based incremental capacity analysis for degradation state recognition of lithium-ion batteries. IEEE Trans Ind Electron Trans Ind Electron 66:1576–1584CrossRef
32.
Wang T, Lei P, Wang T, Lu R, Zhu C (2016) Capacity-loss diagnostic and life-time prediction in lithium-ion batteries: Part 1. Development of a capacity-loss diagnostic method based on open-circuit voltage analysis. J Power Sources 201
33.
Li Z, Zhang P, Wang Z, Song Q, Rong Y (2016) State of charge estimation for Li-ion battery based on extended Kalman filter. In: The 8th international conference on applied energy—ICAE2016, pp 3515–3520
34.
Yu Z, Huai R, Xiao L (2015) State-of-charge estimation for lithium-ion batteries using a Kalman filter based on local linearization. Energies 8:7854–7873CrossRef
35.
Jiang C, Taylor A, Duan C, Bai K (2013) Extended Kalman Filter based battery state of charge(SOC) estimation for electric vehicles. In: 2013 IEEE transportation electrification conference and expo (ITEC). Detroit, MI, pp 1–5
36.
Hannan MA, Lipu MSH, Hussain A, Mohamed A (2017) A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: challenges and recommendations. Renew Sustain Energy Rev 78:834–854CrossRef
37.
Omar N, Monem MA, Firouz Y et al (2014) Lithium iron phosphate based battery: assessment of the aging parameters and development of cycle life model. Appl Energy 113:1575–1585CrossRef
38.
Smith K, Saxon A, Keyser M, Lundstrom B, Cao Z, Roc A (2017) Life prediction model for grid-connected Li-ion battery energy storage system. In: 2017 American control conference (ACC). Seattle, pp 4062–4068
39.
Ooi CA, Rogers D, Jenkins N (2015) Balancing control for grid-scale battery energy storage system. Proc ICE Energy 168:145–157
Metadata
Title
Performance evaluation of grid-connected power conversion systems integrated with real-time battery monitoring in a battery energy storage system
Authors
Yoong Yang Leow
Chia Ai Ooi
Muhammad Najwan Hamidi
Publication date
14-12-2019
Publisher
Springer Berlin Heidelberg
Published in
Electrical Engineering / Issue 1/2020
Print ISSN: 0948-7921
Electronic ISSN: 1432-0487
DOI
https://doi.org/10.1007/s00202-019-00865-y

Other articles of this Issue 1/2020

Electrical Engineering 1/2020 Go to the issue

Original Paper

Comparison of 6/4 and 12/8 switched reluctance motor models using direct torque control with torque lookup table

Original Paper

One special current waveform of toothed pole doubly salient permanent magnet machine for marine current energy conversion system

Original Paper

Performance analysis of silicone rubber insulator in DC high-voltage inclined plane tracking test

Original Paper

Single- and multi-objective optimization for photovoltaic distributed generators implementation in probabilistic power flow algorithm

Original Paper

DC and AC electric field analysis and experimental verification of a silicone rubber insulator

Original Paper

Development of a Schwarz–Christoffel-based model for the PM Vernier machines