Top

Artificial Intelligence Review

Published in:

31-10-2016

Fuzzy logic-based coordinated control method for multi-type battery energy storage systems

Authors: Xiangjun Li, Heming Yan

Published in: Artificial Intelligence Review | Issue 2/2018

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

search-config

AI-assisted search

Off

Abstract

In order to take full advantage of the complementary nature of multi-type energy storage and maximally increase the capability of tracking the scheduled wind power output, a charging–discharging control strategy for a battery energy storage system (BESS) comprising many control coefficients is established, and a power distribution method employing fuzzy control principles to optimize the multi-type BESS is proposed, so as to reduce the error of day-ahead short-term wind power prediction. A simulation analysis, taking a typical wind farm output as an actual data sample, showed that the proposed fuzzy logic control method for the multi-type BESS is uniquely flexible and adaptable in achieving the control effect of improving the capability of tracking the scheduled wind power output.

previous article Solving cross-matching puzzles using intelligent genetic algorithms

next article Development of seven hybrid methods based on collective intelligence for solving nonlinear constrained optimization problems

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 "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

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

Choi ME, Kim SW, Seo SW (2012) Energy management optimization in a battery/supercapacitor hybrid energy storage system. IEEE Trans Smart Grid 3:463–472CrossRef

Elamine DO, Nfaoui EH, Jaouad B (2015) Multi-agent system based on fuzzy control and prediction using NN for smart microgrid energy management. In: Intelligent systems and computer vision (ISCV), 2015, pp 1–6. http://ieeexplore.ieee.org/document/7105538/

Gee AM, Dunn RW (2010) Novel battery/supercapacitor hybrid energy storage control strategy for battery life extension in isolated wind energy conversion systems. In: Proceedings of the 45th international universities power engineering conference (UPEC), pp 1–6

Glavin ME, Hurley WG (2012) Optimization of a photovoltaic battery ultracapacitor hybrid energy storage system. Sol Energy 86(10):3009–3020CrossRef

Han X, Chen F, Cui X et al (2012) A power smoothing control strategy and optimized allocation of battery capacity based on hybrid storage energy technology. Energies 5(5):1593–1612CrossRef

Jia H, Fu Y, Zhang Y et al (2010) Design of hybrid energy storage control system for wind farms based on flow battery and electric double-layer capacitor. In: Power and energy engineering conference (APPEEC), Asia-Pacific. IEEE 2010, pp 1–6

Jiang P, Xiong H (2013) A control scheme design for smoothing wind fluctuation with hybird energy storage system. Autom Electr Power Syst 37(1):122–126 (in Chinese)

Karki R, Thapa S, Billinton R (2012) A simplified risk-based method for short-term wind power commitment. IEEE Trans Sustain Energy 3(3):498–505CrossRef

Lee H, Shin BY, Han S et al (2012) Compensation for the power fluctuation of the large scale wind farm using hybrid energy storage applications. IEEE Trans Appl Supercond 22(3):5701904–5701904CrossRef

Li X, Xu L, Hua J et al (2009) Power management strategy for vehicular-applied hybrid fuel cell/battery power system. J Power Sources 191(2):542–549CrossRef

Li X (2012) Fuzzy adaptive Kalman filter for wind power output smoothing with battery energy storage system. IET Renew Power Gener 6(5):340–347CrossRef

Li X, Hui D, Lai X (2013) Battery energy storage station (BESS)-based smoothing control of photovoltaic (PV) and wind power generation fluctuations. IEEE Trans Sustain Energy 4(2):464–473CrossRef

Li WY (2015) Framework of probabilistic power system planning. CSEE J Power Energy Syst 1(1):1–8MathSciNetCrossRef

Masih-Tehrani M, Ha’Iri-Yazdi MR, Esfahanian V et al (2013) Optimum sizing and optimum energy management of a hybrid energy storage system for lithium battery life improvement. J Power Sources 244(4):2–10CrossRef

National Energy Administration (2011) Interim measures for the management of power predicating and forecast for wind farms. National Energy Administration, Beijing

Nguyen C-L, Lee H-H (2016) Effective power dispatch capability decision method for a wind-battery hybrid power system. IET Gener Trans Distrib 10(3):661–668CrossRef

Tang Y, He H, Ni Z et al (2015a) Fuzzy-based goal representation adaptive dynamic programming. IEEE Trans Fuzzy Syst 99:1–1

Tang Y, He H, Ni Z et al (2015b) Adaptive modulation for DFIG and STATCOM with high-voltage direct current transmission. IEEE Trans Neural Netw Learn Syst 99:1–11

Tang Y, Yang J, Yan J, He H (2015c) Intelligent load frequency controller using GrADP for island smart grid with electric vehicles and renewable resources. Neurocomputing 170:406–416CrossRef

Trung TT, Ahn SJ, Choi JH et al (2014) Real-time wavelet-based coordinated control of hybrid energy storage systems for denoising and flattening wind power output. Energies 7(10):6620–6644CrossRef

Wang Z, Wang W, Liu C et al (2013) Uncertainty estimation of wind power prediction result based on wind process method. Power Syst Technol 37(1):242–247 (in Chinese)

World Wind Energy Association (2010) http://www.wwindea.org/home/images/stories/Pdfs/Worldwindenergyreport10_c.pdf

Wu D, Wang Y, Guo C et al (2012) An economic dispatching model considering wind power forecast error in electricity market environment. Autom Electr Power Syst 36(6):23–28 (in Chinese)

Xiong M, Gao F, Zhang H et al (2014) Hybrid energy storage based generation scheduling of wind farms. Power Syst Technol 38(5):1242–1249 (in Chinese)

Zhang H, Yin Y, Shen H et al (2011) Peak-load regulating adequacy evaluation associated with large-scale wind power integration. Proc CSEE 31(22):26–31 (in Chinese)

Zhang F, Zhao H, Hong M (2015) Operation of networked microgrids in a distribution system. CSEE J Power Energy Syst 1(4):12–21CrossRef

Title: Fuzzy logic-based coordinated control method for multi-type battery energy storage systems
Authors: Xiangjun Li
Heming Yan
Publication date: 31-10-2016
Publisher: Springer Netherlands
Published in: Artificial Intelligence Review / Issue 2/2018
Print ISSN: 0269-2821
Electronic ISSN: 1573-7462
DOI: https://doi.org/10.1007/s10462-016-9523-5

Springer Professional

Abstract

Please log in to get access to your license.

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

Springer Professional "Wirtschaft+Technik"

Springer Professional "Wirtschaft"

Springer Professional "Technik"

Other articles of this Issue 2/2018

Solving cross-matching puzzles using intelligent genetic algorithms

Multi agent system: concepts, platforms and applications in power systems

A metamodeling approach for the identification of organizational smells in multi-agent systems: application to ASPECS

Development of seven hybrid methods based on collective intelligence for solving nonlinear constrained optimization problems

A review of adaptive online learning for artificial neural networks

Premium Partner