Fuzzy Logic Control of Wind Turbine Storage System Connected to the Grid Using Multilevel Inverter

Ali Berboucha

Abstract

This paper aimed to evaluate the use of wind turbine storage systems to provide electricity in the electrical grid through a five-level inverter. The proposed system is composed of four wind turbine generators based on permanent magnet synchronous generator (PMSG), four battery storage systems connected to each capacitor of the DC link and a five level diode clamped inverter connected to the grid by three phase transformer. The control algorithm proposed is based on fuzzy logic to tracks and extract the maximum wind power by controlling the rotational speed of wind turbine, which is most appropriate when there is a lack of information on the characteristic Cp (λ,β) of the turbine. The system operator controls the power production of the four wind turbine generators by sending out reference power signals to each input side regulation unit, the input side regulation units regulate the voltage of each capacitor of the DC link, regulate the voltage and the state of charge of each battery storage system. The inverter is controlled by simplified space vector modulation which allows us to reduce the computational time and reduce the algorithm complexity compared to the conventional five levels space vector modulation, the grid side control level regulate the power and the current injected to the grid.

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References

Samira Chekkal, Narimen Aouzellag Lahaçani, Djamal Aouzellag, Kaci Ghedamsi. “Fuzzy logic control strategy of wind generator based on the dual-stator induction generator”. Electrical Power and Energy Systems 59 (2014) 166–175

Chih-Ming Hong, Chiung-Hsing Chen, Chia-Sheng Tu. “Maximum power point tracking-based control algorithm for PMSG wind generation system without mechanical sensors”. Energy Conversion and Management 69 (2013) 58–67

Abdeldjalil Dahbi, Mabrouk Hachemi, Nasreddine Nait-Said, Mohamed-Said Nait-Said. “Realization and control of a wind turbine connected to the grid by using PMSG”. Energy Conversion and Management 84 (2014) 346–353

Ali M. Eltamaly, Hassan M. Farh. “Maximum power extraction from wind energy system based on fuzzy logic control” Electric Power Systems Research. 97 (2013) 144– 150

M. Seixas, R. Melício, V.M.F. Mendes. “Fifth harmonic and sag impact on PMSG wind turbines with a balancing new strategy for capacitor voltages”. Energy Conversion and Management 79 (2014) 721–730

Gonzalez LG, Figueres E, Garcera G, Carranza O. “Maximum-power-point tracking with reduced mechanical stress applied to wind-energy-conversion systems”. Appl Energy 87 (2010) 2304–2312

Tomonobu S, Yasutaka O, Yasuaki K, Motoki T, Atsushi Y, Endusa BM, et al. “Sensorless maximum power point tracking control for wind generation system with squirrel cage induction generator”. Renew Energy 34 (2009) 994–999

M.A. Abdullaha, A.H.M. Yatima, C.W. Tana, R. Saidurb. “A review of maximum power point tracking algorithms for wind energy systems”. Renewable and Sustainable Energy Reviews, 16 (2012) 3220–3227

Mohammed YekiniSuberu, MohdWazirMustafa, NouruddeenBashir. “Energy storage systems for renewable energy power sector integration and mitigation of intermittency”. Renewable and Sustainable Energy Reviews 35 (2014) 499–514

EvansA, StrezovV, EvansTJ. “Assessment of utility energy storage options for increased renewable energy penetration”. Renew Sustain Energy Rev, 16 (2012) 4141–4147

Howlader AM, Urasaki N, Yona A, Senjyu T, Saber AY. “A review of output power smoothing methods for wind energy conversion systems”. Renew Sustain Energy Rev, 26 (2013) 135–146

Teleke S, Baran ME, Bhattacharya S, Huang AQ. “Optimal control of battery energy storage for wind farm dispatching”. IEEE Trans Energy Convers, 25 (2010) 787–794

Rahim AHMA, Nowicki EP. “Supercapacitor energy storage system for fault ride through of a DFIG wind generation system”. Energy Convers Manage, 59 (2012) 96–102

Xuesong H, Caixin S, Ren L, Yong L. “An active power smoothing strategy for direct-driven permanent magnet synchronous generator based wind turbine using flywheel energy storage”. Automat Electr Pow Syst. 2010

Kinjo T, Senjyu T, Urasaki N, Fujita H. “Terminal-voltage and output-power regulation of wind-turbine generator by series and parallel compensation using SMES”. IET Proc-Gener Trans Distrib, 153 (2006) 276–282

Gonzalez FD, Sumper A, Bellmunt OG, Robles RV. “A review of energy storage technologies for wind power applications”. Renew Sustain Energy Rev, 16 (2012) 2154–2171

M. Khalid, A.V. Savkin. “Minimization and control of battery energy storage for wind power smoothing: Aggregated, distributed and semi-distributed storage”. Renewable Energy 64 (2014) 105-112

Colak, I., Kabalci, E., Bayindir, R. “Review of multilevel voltage source inverter topologies and control schemes. Energy conversion and Management, 52 (2011) 1114–1128

Ravi, A., Manoharan, P.S, & Vijay Anand, J. “Modeling and simulation of three phase multilevel inverter for gird connected photovoltaic systems”. Solar Energy, 85 (2011 2811–2818

Al-Othman, AK., & Abdelhamid, TH. “Elimination of harmonics in multilevel inverters with non-equal dc sources using PSO”. J Energy Convers Manage, 50 (2009) 756–765

Rahim, N., Selvaraj, J., & Krismadinata, C. “Five-level inverter with dual reference modulation technique for grid-connected PV system” .Renewable Energy, 35 (2010) 712–720

Andreas Poullikkas. “A comparative overview of large-scale battery systems for electricity storage”. Renewable and Sustainable Energy Reviews 27 (2013) 778–788

Bayar T. “Batteries for energy storage: new developments promise grid flexibility and stability”. Renewable Energy World magazine 2011

Wichert Benjamin. “Control of photovoltaic diesel hybrid energy systems”. Ph.D. thesis of the Curtin University of Technology; 2000

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