Innovative PID-GA MPPT controller for extraction of maximum power from variable wind turbine

• Autorzy: Azzouz Said , Messalti Sabir , Harrag Abdelghani

Identyfikatory

DOI

10.15199/48.2019.08.26

Warianty tytułu

PL

Nowa koncepcja sterownika PID-GA MPPT do zapewnienia maksymalnej mocy farmy wiatrowej o zmiennej szybkości wiatru

• Języki publikacji: EN

Abstrakty

EN

Although the multitude benefit of wind power, the randomness of wind speed and the fluctuations of wind power are the most disadvantages of wind energy. So, for more efficiency and better performances, wind rotor must be driven at specific optimal rotational speed under each particular wind speed. Therefore, to extract the maximum power from wind turbine, a Maximum Power Point Tracking (MPPT) controller is required. In this paper, modeling of wind energy conversion system WECS using tip speed ratio (TSR) MPPT controller using PID controller tuned by genetic algorithm is investigated. The wind energy conversion is based on a doubly-fed induction generator (DFIG), which it is controlled by robust sliding mode control technique using a generator of 3.6 MW . The obtained results are presented and analyzed, where the performances of both proposed control strategies (MPPT based PID-GA, sliding mode control) have been shown.

PL

W pracy przedstawiono system energii wiatrowej wykorzystujący sterownik śledzący szcztową prędkość . W sterowniku zastosowano regulator PID strojony z wykorzystaniem algorytmu generycznego. Jako generator wykorzystano układ DFIG sterowany za pośrednictwem sterownika ślizgowego.

Słowa kluczowe

EN

MPPT; PID-GA; genetic algorithm; DFIG; tip speed ratio; active and reactive power control; sliding mode control

PL

MPPT; farma wiatrowa; sterownik; algorytm PID-GA; DFIG

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2019
• Tom: R. 95, nr 8
• Strony: 115--120
• Opis fizyczny: Bibliogr. 24 poz., rys., tab.

Twórcy

autor

Azzouz Said

• Electrical Engineering Department, Faculty of Technology, Msila University, Algeria
• LGE Laboratory, Msila University, Algeria

autor

Messalti Sabir

• Electrical Engineering Department, Faculty of Technology, Msila University, Algeria

autor

Harrag Abdelghani

• CCNS Laboratory, Electronics Department, Faculty of Technology, Ferhat Abbas University, 19000 Setif, Algeria

Bibliografia

• [1] Abdelhaq A B., Mustapha B., Abdelmadjid G., Mohammed A B Power flow control and management of a Hybrid Power System, Przegląd Elektrotechniczny., (2018), vol. 95, No. 1, 186-190
• [2] Kivrak S., Gunduzalp M., Dincer F., Theoretical and experimental performance investigation of a twoaxis solar tracker under the climatic condition of Denizli, Turkey, PRZEGLĄD ELEKTROTECHNICZNY (Electrical Review). 88 (2012), No. 3, 332-336
• [3] Mar chenko O.V., Solomin S.V., Efficiency of wind energy utilization for electricityand heat supply in northern regions of Russia, Renewable Energy. 29 (2004), No. 11, 1793-809
• [4] Rekioua D., Matagne E., Optimization of photovoltaic power systems: modelization, simulation and control, Springer-Verlag. London., (2012)
• [5] https://en.wikipedia.org/wiki/Wind_power_by_country
• [6] Shravana Musunuri S., Ginn H.L., Comprehensive review of wind energy maximum power extraction algorithms, IEEE Power and Energy Society General Meeting, USA., (2011) ), 1-8
• [7] Abdul lah M.A., Yat im A.H.M., Tan C.Z., Saidur R., A review of maximum power point tracking algorithms for wind energy systems, Renew Sustain Energy Rev. Magn., 50 (2012), No. 16, 3220-3227
• [8] Tanaka T., Toumiya T., Output control by hill-climbing method for a small wind power generating system, Renew Energy. Magn., 2 (1997), No. 4, 387-400
• [9] Kes raoui M., Kor ichi N., Belkadi A., Maximum power point tracker of wind energy conversion system, Renew Energy. Magn., 36 (2011), No. 5, 2655-2662
• [10] Wang j., Attalah K., Howe D., Optimal Torque Control of Fault-Tolerant Permanent magnet Brushless Machines, IEEE Transaction on Magnetics. Magn., 39 (2003), No. 5, 2962-2964
• [11] Mol ina M.G., Mer cado P.E., Power Flow Stabilization and Control of Microgrid with Wind Generation by Superconducting Energy Storage, IEEE Transactions On Power Electronics., 26 (2011), No. 3, 910-922
• [12] Gai l lard A., Système éolien basé sur une MADA contribution à l’étude de la qualité de l’énergie électrique et de la continuité de service, Ph.D. dissertation Henri Poincaré University, Nancy-I., (2010)
• [13] Jiabing H., Heng N., Bin H. , Yikang H. , Zhu Z.Q., Direct Active and Reactive Power Regulation of DFIG Using Sliding-Mode Control Approach, IEEE TRANSACTIONS ON ENERGY CONVERSION. Magn., 25 (2010), No. 4, 1028-1039
• [14] Hamane B., Doumbia M.L., Bouhamida M., Benghanem M., Control of Wind Turbine Based on DFIG Using Fuzzy-PI and Sliding Mode Controllers, IEEE Proceedings Ninth International Conference on Ecological Vehicles and Renewable Energies. French., (2014), 440-448
• [15] Messal t i S., Boudjel lal B., Said A., Artificial neural networks controller for power system voltage improvement, IEEE IREC The Sixth International Renewable Energy Congress. Sousse., (2015), 1-6
• [16] Vepa R., Nonlinear, optimal control of a wind turbine generator, IEEE Trans. Energy Convers., 26 (2011), No. 2, 468-478
• [17] Taz i l M., Kumar V., Bansal R.C., Kong S., . Dong Z.Y., Freitas W., Mathur H.D., Second-Order Sliding Mode Control of a Doubly Fed Induction Generator Driven Wind Turbine, IEEE TRANSACTIONS ON ENERGY CONVERSION. Magn., 27 (2012), No.2, 261-269
• [18] Aroussi H.A., Bossoufi Ziani E., Bossoufi B., Robust Control of a Power Wind System Based on the Double Fed Induction Generator (DFIG), J. A & S E. Magn., 9 (2015), No. 3, 156-166
• [19] Beltran B., Benbouzid M., Ahmed-Ali T., Second-Order Sliding Mode Control of a Doubly Fed Generator Driven Wind Turbine, IEEE TRANSACTIONS ON ENERGY CONVERSION. Magn., 27 (2012), No. 2, 261-269
• [20] Holland J.H., P i ke G.E., Adaptation in Natural and Artificial Systems, University of Michigan Press. (1975)
• [21] Kim J.S., Kim J.H., Park J.M., Park S.M., Choe W.Y., Heo H., Auto Tuning PID Controller Based on Improved Genetic Algorithm for Reverse Osmosis Plant, Academy of Science, Engineering and Technology., 2 (2008), No. 11, 3707-3712
• [22] Harrag A., Messalti S., Variable step size modified P&OMPPT algorithm using GA-based hybrid offline/online PID controller, Science Direct. Renewable and Sustainable Energy Reviews., 49 (2015), No. 5, 1247-1260
• [23] Messal t i S., Gherbi A., Belkhiat S., Improvement of Power System Transient of Stability using wind farms based on doubly fed induction generator (DFIG), Journal of Electrical Engineering. Magn., 13 (2013), No. 3, 133-137
• [24] Johnson B., Pike G.E., Preparation of Papers for Transactions, IEEE Trans. Magn., 50 (2002), No. 5, 169-175

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).