Local and Central Control of a Wind Farm for Active Power Adjustment

Abdelkarim Masmoudi, Achraf ABDELKAFI, Lotfi Krichen, Abdelaziz Salah Saidi

Abstract


The work presented in this paper deals with the active power control in a wind farm based on both central and local control levels. A central supervision unit (CSU) ensures the power coordination between the local supervision units (LSU) of each wind turbine. In the LSU, a power management has been developed in order to adjust the distribution of the farm's production. The main contribution of the developed work is the adjustment of the delivered power by each wind turbine using an additional control of the pitch angle. Consequently, power control flexibility for the wind farm system was established by considering either maximum power point tracking (MPPT) mode or limited power point tracking (LPPT) mode. Therefore, the LSU monitoring each wind turbine effectively coordinates with the power distribution received from the CSU according to the wind farm available power. Simulation results presented in this paper have shown the good performance and the high stability of the proposed supervision strategy for the considered wind farm.

Keywords


renewable energy; wind energy

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References


K. Ohlenforst, S. Sawyer, A. Dutton, B. Backwell, R. Fiestas. Global wind report 2018. Global wind energy council (GWEC), Tech. Rep. (2018) http://www. gwec.net/.

F.A. Khan, N. Pal, S.H. Saeed. Review of solar photovoltaic and wind hybrid energy systems for sizing strategies optimization techniques and cost analysis methodologies. Renewable and Sustainable Energy Reviews, vol. 92, pp. 937-947, 2018.

C. Jung, D. Schindler. A global wind farm potential index to increase energy yields and accessibility. Energy, vol. 231, pp. 120923, 2021.

R. Toujani, A. Abdelkafi, L. Krichen, Contribution to the Modeling, Control and Dynamic Management of an Autonomous Wind Farm using a Fuel cell and a Super-capacitor. International Journal of Renewable Energy Research, vol. 11, pp. 2045-2056, 2021.

S.M. Muyeen, H.M. Hasanien, A. Al-Durra. Transient stability enhancement of wind farms connected to a multi-machine power system by using an adaptive ANN-controlled SMES. Energy Conversion and Management, vol. 78, pp. 412-420, 2014.

I.M. de Alegría, J. Andreu, J.L. Martín, P. Ibañez, J.L. Villate, H. Camblong. Connection requirements for wind farms: A survey on technical requierements and regulation. Renewable and Sustainable Energy Reviews, vol. 11, pp. 1858-1872, 2007.

A.Q. Al-Shetwi, M.A. Hannan, K.P. Jern, M. Mansur, T.M.I. Mahlia. Grid-connected renewable energy sources: Review of the recent integration requirements and control methods. Journal of Cleaner Production, vol. 253, pp. 119831, 2020.

H. Zong, J. Lyu, X. Cai, C. Zhang, M. Molinas, F. Rao. Accurate aggregated modelling of wind farm systems in modified sequence domain for stability analysis. Electric Power Systems Research, vol. 175, pp. 105928, 2019.

F.M. Ebrahimi, A. Khayatiyan, E. Farjah. A novel optimizing power control strategy for centralized wind farm control system. Renewable Energy, vol. 86, pp. 399-408, 2016.

A.D. Hansen, P. Sørensen, F. Iov, F. Blaabjerg. Centralised power control of wind farm with doubly fed induction generators. Renewable Energy, vol. 31, pp. 935-951, 2006.

F.G. Llistuella, A. Sumper, F.D. González, S.G. Arellano. Flicker mitigation by reactive power control in wind farm with doubly fed induction generators. International Journal of Electrical Power and Energy Systems, vol. 55, pp. 285-296, 2014.

W. Liao, P. Li, Q. Wu, S. Huang, G. Wu, F. Rong. Distributed optimal active and reactive power control for wind farms based on ADMM. International Journal of Electrical Power and Energy Systems, vol. 129, pp. 106799, 2021.

R. Tang, B. Luo, X. Deng, Y. Shen. Research on Reactive Power and Voltage Control for Wind Farm Based on coordinate control of DFIGs and SVG. Procedia Computer Science, vol. 175, pp. 460–467, 2020.

J. Tavoosi, A. Mohammadzadeh, B. Pahlevanzadeh, M.B. Kasmani, S.S. Band, R. Safdar, A.H. Mosavi. A machine learning approach for active/reactive power control of grid-connected doubly-fed induction generators. Ain Shams Engineering Journal, vol. 13, pp. 101564, 2022.

W. Jiao, Q. Wu, S. Huang, J. Chen. Decentralized voltage control of wind farm based on gradient projection method. International Journal of Electrical Power and Energy Systems, vol. 123, pp. 106308, 2020.

C.D. Sanahuja, I.P. Alós, R.V. Albalate. Robust local controllers design for the AC grid voltage control of an offshore wind farm. IFAC-PapersOnLine, vol. 53-2, pp. 12751-12756, 2020.

P. Cartwright, L. Holdsworth, J. Ekanayake, N. Jenkins. Co-ordinated voltage control strategy for a doubly-fed induction generator (DFIG)-based wind farm. IET Proceeding, generation, transmission and distribution, vol. 151, pp. 495-502, 2004.

H. Badihi, Y. Zhang, H. Hong. Active power control design for supporting grid frequency regulation in wind farms. Annual Reviews in Control, vol. 40, pp. 70-81, 2015.

M. Dreidy, H. Mokhlis, S. Mekhilef. Inertia response and frequency control techniques for renewable energy sources: A review. Renewable and Sustainable Energy Reviews, vol. 69, pp. 144-155, 2017.

G. Lalor, A. Mullane, M. O'Malley. Frequency control and wind turbine technologies. IEEE Transaction on power system, vol. 20, pp. 1905-1913, 2005.

T. Kaneko, A. Uehara, T. Senjyu, A. Yona, N. Urasaki. An integrated control method for a wind farm to reduce frequency deviations in a small power system. Applied Energy, vol. 88, pp. 1049-1058, 2011.

K. Kavadias, P. Triantafyllou. Wind-Based Stand-Alone Hybrid Energy Systems. Reference Module in Earth Systems and Environmental Sciences, October 2021.

F.E Lamzouri, E.M. Boufounas, A. ElAmrani. Efficient energy management and robust power control of a stand-alone wind-photovoltaic hybrid system with battery storage. Journal of Energy Storage, vol. 42, pp. 103044, 2021.

P. García, J.P. Torreglosa, L.M. Fernández, F. Jurado. Optimal energy management system for stand-alone wind turbine/photovoltaic/hydrogen/battery hybrid system with supervisory control based on fuzzy logic. International Journal of Hydrogen Energy, vol. 38, pp. 14146-14158, 2013.

Y. Jin, P. Ju, C. Rehtanz, F. Wu, X. Pan. Equivalent modeling of wind energy conversion considering overall effect of pitch angle controllers in wind farm. Applied Energy, vol. 222, pp. 485-496, 2018.

A. Abdelkafi, L. Krichen. New strategy of pitch angle control for energy management of a wind farm. Energy, vol. 36, pp. 1470–1479, 2011.

A. Masmoudi, A. Abdelkafi, L. Krichen. Electric power generation based on variable speed wind turbine under load disturbance. Energy, vol. 36, pp. 5016–5026, 2011.

J.G. Slootweg, S.W.H De Haan, Henk Polinder, W.L. Kling. General model for representing variable speed wind turbines in power system dynamics simulations. IEEE Transactions on Power Systems, vol. 18, pp. 144-151, 2003.




DOI (PDF): https://doi.org/10.20508/ijrer.v12i2.12848.g8467

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