The Design and Analysis of DC Electrical Voltage-Current Datalogger Device Implemented on Wind Turbine Control System

Sri Murti, Prisma Megantoro, Gabriel De Brito Silva, Andino Maseleno

Abstract


DC electrical voltage - current measuring instrument and data logger is an instrument used to measure the current and voltage generated wind turbine and recording the measurement results. The fuction of this instrument is to activate the dummy load on the wind turbine control system to reduce the voltage that exceeds the safe limit when saving electrical energy. The purpose of this research is to manufacture and analyze DC electrical voltage - current measuring instrument with arduino uno based data logger which is capable to measure DC current and voltage generated by Hybrid Power Plants (PLTH) in Pantai Baru Pandansimo Bantul Yogyakarta, and using metrology method to analyze the degree of uncertainty of the measuring instrument. In this research, heuristic method is used to determine the characteristics of the sensor. Sensor characterization has been done, followed by calibration of measurement instrument to determine the magnitude of the uncertainty of the measurement instrument. The results of this research indicated that the characteristics of voltage sensor (CR5310-300) obtained equation of linear regression y=0.29253x + 0.662, while the current sensor characteristics (WCS1800) obtained equation of linear regression y=0.072978x - 37.2408. After the characterization procedure is done, the measuring instrument callibrated using a traced clampmeter. The calibration results indicated that the voltage sensor has accuracy of 99.99%. Whereas for the current measuring instrument has an uncertainty that is extended at standard current 0 -  9 amperes of 0.316 amperes and at the standard current of 9.7 amperes of 0.317 amperes with an accuracy of 99.98%. Based on the results of this research, can be obtained that current and voltage measuring instrument has good accuracy level.

Full Text:

PDF

References


T. Chen, Y. Xia, W. Liu, H. Liu, L. Sun, and C. Lee, “A Hybrid Flapping-Blade Wind Energy Harvester Based on Vortex Shedding Effect,” J. Microelectromechanical Syst., vol. 25, no. 5, pp. 845–847, Oct. 2016.

O. Goksu, M. Altin, J. Fortmann, and P. E. Sorensen, “Field Validation of IEC 61400-27-1 Wind Generation Type 3 Model With Plant Power Factor Controller,” IEEE Trans. Energy Convers., vol. 31, no. 3, pp. 1170–1178, Sep. 2016.

H. H. Abdeltawab and Y. A.-R. I. Mohamed, “Robust Energy Management of a Hybrid Wind and Flywheel Energy Storage System Considering Flywheel Power Losses Minimization and Grid-Code Constraints,” IEEE Trans. Ind. Electron., vol. 63, no. 7, pp. 4242–4254, Jul. 2016.

M. Hassan Zamani, G. Hossein Riahy, and M. Abedi, “Rotor-Speed Stability Improvement of Dual Stator-Winding Induction Generator-Based Wind Farms By Control-Windings Voltage Oriented Control,” IEEE Trans. Power Electron., vol. 31, no. 8, pp. 5538–5546, Aug. 2016.

S. Buhan, Y. Ozkazanc, and I. Cadirci, “Wind Pattern Recognition and Reference Wind Mast Data Correlations With NWP for Improved Wind-Electric Power Forecasts,” IEEE Trans. Ind. Informatics, vol. 12, no. 3, pp. 991–1004, Jun. 2016.

A. Merabet, K. T. Ahmed, H. Ibrahim, and R. Beguenane, “Implementation of Sliding Mode Control System for Generator and Grid Sides Control of Wind Energy Conversion System,” IEEE Trans. Sustain. Energy, vol. 7, no. 3, pp. 1327–1335, Jul. 2016.

A. Tani, M. B. Camara, and B. Dakyo, “Energy Management in the Decentralized Generation Systems Based on Renewable Energy—Ultracapacitors and Battery to Compensate the Wind/Load Power Fluctuations,” IEEE Trans. Ind. Appl., vol. 51, no. 2, pp. 1817–1827, Mar. 2015.

P. Kou, D. Liang, F. Gao, and L. Gao, “Coordinated Predictive Control of DFIG-Based Wind-Battery Hybrid Systems: Using Non-Gaussian Wind Power Predictive Distributions,” IEEE Trans. Energy Convers., vol. 30, no. 2, pp. 681–695, Jun. 2015.

I. Ngamroo and T. Karaipoom, “Improving Low-Voltage Ride-Through Performance and Alleviating Power Fluctuation of DFIG Wind Turbine in DC Microgrid by Optimal SMES With Fault Current Limiting Function,” IEEE Trans. Appl. Supercond., vol. 24, no. 5, pp. 1–5, Oct. 2014.

S. Kamalinia, L. Wu, and M. Shahidehpour, “Stochastic Midterm Coordination of Hydro and Natural Gas Flexibilities for Wind Energy Integration,” IEEE Trans. Sustain. Energy, vol. 5, no. 4, pp. 1070–1079, Oct. 2014.

U. Karaagac, S. O. Faried, J. Mahseredjian, and A.-A. Edris, “Coordinated Control of Wind Energy Conversion Systems for Mitigating Subsynchronous Interaction in DFIG-Based Wind Farms,” IEEE Trans. Smart Grid, vol. 5, no. 5, pp. 2440–2449, Sep. 2014.

B. Thomsen, J. M. Guerrero, and P. B. Thogersen, “Faroe Islands Wind-Powered Space Heating Microgrid Using Self-Excited 220-kW Induction Generator,” IEEE Trans. Sustain. Energy, vol. 5, no. 4, pp. 1361–1366, Oct. 2014.

D. Ganger, J. Zhang, and V. Vittal, “Statistical Characterization of Wind Power Ramps Via Extreme Value Analysis,” IEEE Trans. Power Syst., vol. 29, no. 6, pp. 3118–3119, Nov. 2014.

T. Zhou and W. Sun, “Optimization of Battery–Supercapacitor Hybrid Energy Storage Station in Wind/Solar Generation System,” IEEE Trans. Sustain. Energy, vol. 5, no. 2, pp. 408–415, Apr. 2014.

M. Marinelli, P. Maule, A. N. Hahmann, O. Gehrke, P. B. Norgard, and N. A. Cutululis, “Wind and Photovoltaic Large-Scale Regional Models for Hourly Production Evaluation,” IEEE Trans. Sustain. Energy, vol. 6, no. 3, pp. 916–923, Jul. 2015.

C. Huang, F. Li, and Z. Jin, “Maximum Power Point Tracking Strategy for Large-Scale Wind Generation Systems Considering Wind Turbine Dynamics,” IEEE Trans. Ind. Electron., vol. 62, no. 4, pp. 2530–2539, 4892.

L. Guo et al., “Energy Management System for Stand-Alone Wind-Powered-Desalination Microgrid,” IEEE Trans. Smart Grid, vol. 7, no. 2, pp. 1–1, 2016.

X. Zhao, Z. Yan, and X.-P. Zhang, “A Wind-Wave Farm System With Self-Energy Storage and Smoothed Power Output,” IEEE Access, vol. 4, pp. 8634–8642, 2016.

H. Bitaraf and S. Rahman, “Reducing Curtailed Wind Energy Through Energy Storage and Demand Response,” IEEE Trans. Sustain. Energy, vol. 9, no. 1, pp. 228–236, Jan. 2018.

I. N. Moghaddam, B. H. Chowdhury, and S. Mohajeryami, “Predictive Operation and Optimal Sizing of Battery Energy Storage With High Wind Energy Penetration,” IEEE Trans. Ind. Electron., vol. 65, no. 8, pp. 6686–6695, Aug. 2018.

M. Altin, A. D. Hansen, T. K. Barlas, K. Das, and J. N. Sakamuri, “Optimization of Short-Term Overproduction Response of Variable Speed Wind Turbines,” IEEE Trans. Sustain. Energy, vol. 9, no. 4, pp. 1732–1739, Oct. 2018.

Priyanka and Rajneesh, “A fuzzy VIKOR model for selection of optimal Biomass usage in India,” in 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), 2016, pp. 1–6.

S. Rajanna and R. P. Saini, “Optimal modeling of an integrated renewable energy system with battery storage for off grid electrification of remote rural area,” in 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), 2016, pp. 1–6.

S. Bhamu, N. Pathak, and T. S. Bhatti, “Power Control of Wind-Biogas-PV based Hybrid System,” in 2018 International Conference on Computing, Power and Communication Technologies (GUCON), 2018, pp. 421–426.

D. K. Yadav, S. Bhamu, and T. S. Bhatti, “Wind-biogas and controlled grid based hybrid power system for rural electrification,” 1st IEEE Int. Conf. Power Electron. Intell. Control Energy Syst. ICPEICES 2016, pp. 1–6, 2017.

D. K. Yadav and T. S. Bhatti, “Voltage and frequency control in a Wind-PV-Biogas based rural micro grid with limited grid operation,” 2016 IEEE 7th Power India Int. Conf. PIICON 2016, 2017.

S. Shakya, U. Shrestha, M. Shrestha, R. Bhattarai, and S. K. Jha, “Energy management unit: Managing energy sources for a farm,” IEEE Reg. 10 Humanit. Technol. Conf. 2016, R10-HTC 2016 - Proc., pp. 1–5, 2017.

M. N. Rajkumar, S. Abinaya, and V. V. Kumar, “Intelligent irrigation system — An IOT based approach,” in 2017 International Conference on Innovations in Green Energy and Healthcare Technologies (IGEHT), 2017, pp. 1–5.

M. A. Ghani and J. Mallet, “Switched capacitors multilevel converter design for robotics application employing arduino microcontroller,” in 2014 11th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2014, no. Urai, pp. 472–476.

M. Anwar et al., “Conceptual of spherical robot,” in 2014 11th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2014, no. Urai, pp. 547–550.




DOI: https://doi.org/10.18196/jrc.1317

Refbacks

  • There are currently no refbacks.


Copyright (c) 2020 Journal of Robotics and Control

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

 

Journal of Robotics and Control (JRC)

P-ISSN: 2715-5056 || E-ISSN: 2715-5072
Organized by Peneliti Teknologi Teknik Indonesia
Published by Universitas Muhammadiyah Yogyakarta in collaboration with Peneliti Teknologi Teknik Indonesia, Indonesia and the Department of Electrical Engineering
Website: http://journal.umy.ac.id/index.php/jrc
Email: jrcofumy@gmail.com

Kuliah Teknik Elektro Terbaik