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Voltage Stabilization Using Supervisory-Fuzzy Logic Control in Wind Farm


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DOI: https://doi.org/10.15866/ireme.v17i5.23488

Abstract


The application of wind turbines in a wind farm requires a voltage control system to cope with changes in wind velocity. The purpose of this research is to stabilize the output voltage of the wind farm using supervisory-Fuzzy Logic Control (Supervisory-FLC). This control consists of supervisory level and Fuzzy Logic Control (FLC). The supervisory level functions to provide duty cycle adjustment for an original duty cycle which is obtained from the characterization results, while FLC has a task to stabilize the output voltage. FLC is designed using two inputs - namely errors and delta errors - and one output, i.e. duty cycle. In order to know the performance of the proposed control, simulation study was conducted using two wind turbines as wind farm, and a multi-input buck converter as final control element. From simulation results it is proven that Supervisory-FLC has superior performance compared to FLC with the maximum error of 0.138 Volts and the integral time absolute error generated is 235.158.
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Keywords


Duty Cycle; Fuzzy; Multi-Input; Supervisory; Turbine; Wind Farm

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References


B. Saril, Renewable Energy, 2018.

A. R. Prima, Sidrap Wind Power Plant 75 MW, Engineer Weekly, Jakarta Pusat, 2018.

M. K. Asy'ari, K. Indriawati, R. D. Noriyati, and A. Musyafa', Evaluation of Wind Turbine Installation and Development at Sidrap Wind Farm , South Sulawesi , Indonesia, Int. J. Mech. Mechatronics Eng. IJMME-IJENS, vol. 20, no. 05, pp. 66-73, 2020.

PT UPC Renewables Indonesia, Sidrap Wind Farm Project Phase 1 (Enviromental and Social Impact Assessment), Jakarta Selatan, 2016.

Y. Yuan and J. Tang, On Advanced Control Methods toward Power Capture and Load Mitigation in Wind Turbines, Engineering, vol. 3, no. 4, pp. 494-503, 2017.
https://doi.org/10.1016/J.ENG.2017.04.023

N. Mendis, K. M. Muttaqi, and S. Perera, Management of battery-supercapacitor hybrid energy storage and synchronous condenser for isolated operation of PMSG based variable-speed wind turbine generating systems, IEEE Trans. Smart Grid, vol. 5, no. 2, pp. 944-953, 2014.
https://doi.org/10.1109/TSG.2013.2287874

M. M. Hossain and M. H. Ali, Future research directions for the wind turbine generator system, Renew. Sustain. Energy Rev., vol. 49, pp. 481-489, 2015.
https://doi.org/10.1016/j.rser.2015.04.126

S. Few, O. Schmidt, G. J. Offer, N. Brandon, J. Nelson, and A. Gambhir, Prospective improvements in cost and cycle life of off-grid lithium-ion battery packs: An analysis informed by expert elicitations, Energy Policy, vol. 114, no. November 2017, pp. 578-590, 2018.
https://doi.org/10.1016/j.enpol.2017.12.033

S. Comello and S. Reichelstein, The emergence of cost effective battery storage, Nat. Commun., vol. 10, no. 1, pp. 1-9, 2019.
https://doi.org/10.1038/s41467-019-09988-z

A. Musyafa, A. Harika, I. M. . Negara, and I. Robandi, Pitch Angle Control of Variable Low Rated Speed Wind Turbine Using Fuzzy Logic Controller, Int. J. Eng. Technol., vol. 10, no. 05, pp. 22-25, 2010.

A. Musyafa, D. P. Pratama, and M. K. Asy'ari, Design and Implemented Pitch Angle Wind Turbine Control System Base Neuro Fuzzy At East Java- Indonesia, Int. J. Mech. Mechatronics Eng., vol. 18, no. 04, pp. 65-72, 2018.

A. Musyafa', I. Abadi, R. D. Noriyati, M. F. Afif, and M. K. Asy'ari, Design and Implementation Wind Turbine Power Control System Base Particle Swam Optimization at Low Rate Wind Farm, Int. J. Mech. Mechatronics Eng. IJMME-IJENS, vol. 19, no. 05, pp. 149-157, 2019.

A. Musyafa and M. Ibrohim, Development of Buck Converter Based Fuzzy Logic Control in Small Scale Wind Turbine System Implemented in East-Java, Asian J. Nat. Appl. Sci., vol. 2, no. 4, pp. 46-55, 2013.

M. K. Asy'ari and A. Musyafa, Design of Buck Converter Based on Interval Type-2 Fuzzy Logic Controller, in 2018 International Seminar on Intelligent Technology and Its Applications (ISITIA), 2018, no. 1, pp. 153-156.
https://doi.org/10.1109/ISITIA.2018.8711236

K. M. Passino and S. Yurkovich, Fuzzy Control. Department of Electrical Engineering, The Ohio State University: Addison Wesley Longman, Inc., 1998.

R. D. Noriyati, A. Musyafa', A. Rahmadiansah, A. S. Utama, M. K. Asy'ari, and M. Abdillah, Design and Implemented Buck-Boost Converter Based Fuzzy Logic Control on Wind Power Plant, Int. J. Mech. Mechatronics Eng. IJMME-IJENS, vol. 20, no. 01, pp. 115-122, 2020.

M. B. Toriki, M. K. Asy'ari, and A. Musyafa', Enhanced Performance of PMSG in WECS Using MPPT - Fuzzy Sliding Mode Control, J. Eur. des Systèmes Autom., vol. 54, no. 1, pp. 85-96, 2021.
https://doi.org/10.18280/jesa.540110

A. Musyafa, I. Abadi, R. D. Noriyati, R. I. Mukromin, T. A. Rafi, and M. K. Asy'ari, Design and Implementation Monitoring System Based Internet Of Tings (IoT) on Battery Charging - Photovoltaic Power Plant Using FLC, Int. J. Mech. Mechatronics Eng. IJMME-IJENS, vol. 20, no. 04, pp. 22-30, 2020.

Z. Arifin, D. C. Riawan, and H. Suryoatmojo, Design and Implementation of Multi-Input Buck Converter for Battery Charging Using Solar Panels and Wind Turbines, J. Tek. ITS, vol. 5, no. 2, pp. 83-88, 2016.
https://doi.org/10.12962/j23373539.v5i2.16031

C. W. Priananda, F. I. Adhim, L. P. Rahayu, M. N. Latif, A. Musthofa, and J. Susila, Design and Development of Multi Input Buck Dc/Dc Converter in Solar - Wind Hybrid Power Plant for Battery Charging, El Sains J. Elektro, vol. 1, no. 2, pp. 2-6, 2019.
https://doi.org/10.30996/elsains.v1i2.3158

A. R. Wachid, E. Wahjono, and S. D. N. Nugraha, Design and Simulation of Dual Input Single Output Buck Converter with Fuzzy Control, J. Nas. Tek. Elektro dan Teknol. Inf., vol. 10, no. 1, pp. 63-70, Feb. 2021.
https://doi.org/10.22146/jnteti.v10i1.1069

M. K. Asy'ari, A. Musyafa', and K. Indriawati, Design of Wind Turbine Output Voltage Control Systems in Multi-Input Buck Converter Using Fuzzy Logic Control for Battery Charging, in 2019 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation (ICAMIMIA), 2019, pp. 249-252.
https://doi.org/10.1109/ICAMIMIA47173.2019.9223417

I. Atacak and O. F. Bay, A type-2 fuzzy logic controller design for buck and boost DC-DC converters, J. Intell. Manuf., vol. 23, no. 4, pp. 1023-1034, 2012.
https://doi.org/10.1007/s10845-010-0388-1

Fernández-Blanco, J., Corrales-Barrios, L., Benítez-Pina, I., Núñez-Alvarez, J., Hernández-González, F., Llosas-Albuerne, Y., A Proposal for the Diagnosis of Incipient Faults in Power Transformers Using Fuzzy Logic Techniques, (2022) International Review of Electrical Engineering (IREE), 17 (1), pp. 29-38.
https://doi.org/10.15866/iree.v17i1.20772

Abdillah, M., Nugroho, T., Pertiwi, N., Multi-Objective Interval Type 2 Fuzzy Sine Cosine Algorithm for Solving Optimal Power Flow Problem, (2021) International Review of Electrical Engineering (IREE), 16 (2), pp. 118-126.
https://doi.org/10.15866/iree.v16i2.18188

Batayneh, W., Bataineh, A., Jaradat, M., Intelligent Adaptive Fuzzy Logic Genetic Algorithm Controller for Anti-Lock Braking System, (2021) International Review on Modelling and Simulations (IREMOS), 14 (1), pp. 44-54.
https://doi.org/10.15866/iremos.v14i1.19838

Ali, A., Barkat, S., Fuzzy Logic Controller Optimized by BBO for Decentralized Source Based on a SOFC, (2022) International Review on Modelling and Simulations (IREMOS), 15 (2), pp. 84-96.
https://doi.org/10.15866/iremos.v15i2.21809

Manbetova, Z., Abdimuratov, Z., Chezhimbayeva, K., Zhazykbayeva, Z., Imankul, M., Comparative Analysis of Methods and Model of Protection Against Electromagnetic Fields in Cellular Communication, (2021) International Journal on Communications Antenna and Propagation (IRECAP), 11 (1), pp. 1-8.
https://doi.org/10.15866/irecap.v11i1.20062

Boada Medina, M., Prieto, K., Mesa, F., Aristizabal, A., Design and Analysis of Renewable Energy Microgrids for Operations in Different Latitudes by Applying Fuzzy Logic Modeling, (2022) International Journal on Engineering Applications (IREA), 10 (1), pp. 1-14.
https://doi.org/10.15866/irea.v10i1.20386


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