Reactive Power Adjustment in MV Distribution Systems Integrating with Wind-Turbine Power Plants

Authors

  • Mongkol Treekijjanon Graduate Student in Energy Management Engineering, Institute of Engineering, Suranaree University of Technology
  • Boonruang Marungsri School of Electrical Engineering, Institute of Engineering, Suranaree University of Technology
  • Thanatchai Kulworawanichpong School of Electrical Engineering, Institute of Engineering, Suranaree University of Technology
  • Uthen Leeton School of Electrical Engineering, Institute of Engineering, Suranaree University of Technology

DOI:

https://doi.org/10.37936/ecti-eec.2017152.171317

Keywords:

Optimal reactive power flow, Wind turbine farm, Overvoltage limitation

Abstract

This paper illustrates optimal reactive power setting for voltage stability in power distribution system affected from wind turbine operation. This paper shows the implementation of disturbance analysing device to compare before and after result of setting reactive compensator. In this research, to optimize the overall voltage limitation, three decision variables are participated. They are i) active/reactive power generated from wind turbine farm plants, ii) specified voltage magnitude all node limitation and iii) power factor control. Classical optimization technique is well-known and widely accepted for solving the problem. “WA-YU” wind turbine farm project has rated at 8.0 MW, 22-kV which is a wind turbine power plant of Provincial Electric Authority (PEA) of Thailand in Nakhon Ratchasima at feeder no. 10 was employed as a case study. The result showed that appropriate reactive power is efficiently related to the best power factor. The voltage limitation is controlled within ±5% range of nominal voltage (22 kV) as the PEA regulation. The controlled voltage provides benefits which are not affected other power users that is consuming power from the same feeder circuit.

References

[1] A. Bracale, P. Caramia, G. Carpinelli, A.RD. Fazio and G. Ferruzzi, "A Bayesian Method for Short - Term Probabilistic Forecasting of Photovoltaic Generation in Smart Grid Operation and Control," Journal of Energies, vol.6(2), pp. 733-747, 2013.

[2] B. Ozerdem and H.M. Turkeli, "Wind energy potential estimation and micrositting onIzmir Institute of Technology Campus," Renewable Energy, pp.1623-1633, 2005.

[3] Y. Zhang, L. Kang, B. Cao, C.N. Huang and G. Wu, "Renewable energy distributed power system with wind power and biogas generator," Conference on Transmission and Distribution, pp. 1-6, 2009.

[4] Y. L. Xin, L. Luan, W. H. Tang, G. Y. Chen and H. Wu, "Overvoltage protection on highfrequency switching transients in large offshore wind farms," IEEE Power and Energy Society General Meeting (PESGM), pp. 1-5, 2016.

[5] K. Luewattana and A. Pruksanubal, "Effects of overvoltage on a ground grid system of high voltage substation," International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), pp. 1-4, 2015.

[6] Regulation PEA on the terms of network connectivity, the year 2008.

[7] B. Ko, N.P. Utomo, G.J.J. Kim, and J. Cho, "Optimal Scheduling for the Complementary Energy Storage System Operation Based on Smart Metering Data in the DC Distribution System," Journal on Energies, Vol. 6, pp. 6569-6585, 2013.

[8] J. Aho, A. Buckspan, J. Laks, P. Fleming, J. Yunho, F. Dunne, M. Churcheld, L. Pao, and K. Johnson, "A tutorial of wind turbine control for supporting grid frequency through active power control," American Control Conference (ACC), pp. 3120-3131, 2012.

[9] F. Katiraei and M.R. Iravani, "Micro-Grid autonomous operation during and subsequent to islanding process," EEE Transaction on Power Delivery, Vol. 20, pp. 248-257, (2005).

[10] F. Katiraei and M.R. Iravani, "Power management strategies for a Micro-grid with multiple distributed generation units," IEEE Transaction on Power System, Vol. 21, pp. 1821-1831, 2006.

[11] Power distribution, From Wikipedia, the free encyclopedia, June 2014.

[12] J. Zhenhua and Y. Xunwei, "Modeling and control of an integrated wind power generation and energy storage system," Power and Energy Society General Meeting, pp.1-8, 2009.

[13] P. Dutta and A. K. Sinha, "Voltage Stability Constrained Multi-Objective Optimal Power Flow using Particle Swarm Optimization," 1st International Conference on Industrial and Information Systems, pp. 161-166, 2006.

[14] N. Sinsuphun, U. Leeton, and Kulworawanichpong, T. "Optimal power flow solution using improved harmony search method," published by ELSEVIER Applied Soft Computing, Vol. 13, Issue 5, pp. 2364- 2374, 2013.

[15] U. Leeton, D. Uthitsunthorn, U. Kwannetr, N. Sinsuphun; and T. Kulworawanichpong, "Power loss minimization using optimal power flow based on particle swarm optimization," The 2010 ECTI International Confernce on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON2010), pp. 440-444, 2010.

[16] Energy Regulatory Commission, "the purchasing power of private," sources: http://www.eppo.go.th/power/powerN/PICP/File/(1).pdf online: 11/08/2558]

Downloads

Published

2017-03-01

How to Cite

Treekijjanon, M., Marungsri, B., Kulworawanichpong, T., & Leeton, U. (2017). Reactive Power Adjustment in MV Distribution Systems Integrating with Wind-Turbine Power Plants. ECTI Transactions on Electrical Engineering, Electronics, and Communications, 15(2), 57–65. https://doi.org/10.37936/ecti-eec.2017152.171317

Issue

Section

Electrical Power Systems