Distributed Automation System Based Remote Monitoring of Power Quality Disturbance on LV Network
Electrical distribution networks are prone to power quality disturbances originating from the complexity of the distribution network, mode of distribution (overhead or underground) and types of loads used by customers. Data on the types of disturbances present and frequency of occurrence is needed for economic evaluation and hence finding solution to the problem. Utility companies have resorted to using secondary power quality devices such as smart meters to help gather the required data. Even though this approach is easier to adopt, data gathered from these devices may not serve the required purpose, since the installation of these devices in the electrical network usually does not conform to available PQM placement methods. This paper presents a design of a PQM that is capable of integrating into an existing DAS infrastructure to take advantage of available placement methodologies. The monitoring component of the design is implemented and installed to monitor an existing LV network. Data from the monitor is analyzed and presented. A portion of the LV network of the Electricity Company of Ghana is modeled in MATLAB-Simulink and analyzed under various earth fault conditions. The results presented show the ability of the PQM to detect and analyze PQ disturbance such as voltage sag and overvoltage. By adopting a placement methodology and installing these nodes, utilities are assured of accurate and reliable information with respect to the quality of power delivered to consumers.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1129936Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1053
 Mark McGranaghan, Bill Roettger (2002, Feb). Economic Evaluation of Power Quality. IEEE Power Engineering Review (Online). 22(2), pp. 8-12. (Accessed: 25- June- 2015). Available: http://ieeexplore.ieee.org/xpl/abstractMetrics.jsp?arnumber=981339&ranges=2002_2003_Year&searchWithin=%22Authors%22:.QT.M.%20McGranaghan.QT
 IEEE Recommended Practice for Evaluating Electric Power System Compatibility With Electronic Process Equipment, IEEE Standard 1346, 1998.
 D. coll-mayor, j. Pardo, M. Perez-Donsion (2009, April). Analysis of Methodologies for the Economical Evaluation of Power Quality. International Conference on Renewable Energies and Power Quality (ICREPQ’09).
 Barry W. Kennedy, “Power Quality Economics,” in Power Quality Primer, New York: McGraw-Hill, 2000, pp. 239–271.
 Heine, P., Pohjanheimo, P., Lehtonen, M., Lakervi, E (2002, May). A Method for Estimating the Frequency and Cost of Voltage Sags, IEEE Transactions on Power Systems, 17(2), pp. 290-296.
 Boknam Ha, Shinyeol Park, Changhoon Shin, Seongchul Kwon, Soyeong Park, (2007, May). Power Quality Monitoring On Distribution Networks Using Distribution Automation System, 19th International Conference on Electricity Distribution (C I R E D ’09), Paper 0426.
 Math H. J. Bollen (2000, October). Understanding power quality problems: voltage sags and interruptions. (Online). (Accessed: 25- June- 2015). Available: http://www.wiley.com/WileyCDA/WileyTitle/productCd-0780347137.html
 Ahmad Asrul Ibrahim, Azah Mohamed, Hussain Shareef, Sakti Prasad Ghoshal (2012, March). Optimization Methods for Optimal Power Quality Monitor Placement in Power Systems: A Performance Comparison.International Journal on Electrical Engineering and Informatics ‐ Volume 4(1).
 Asadollah Kazemi, Azah Mohamed, Hussain Shareef, Hadi Zayandehroodi (2013). A Review of Power Quality Monitor Placement Methods in Transmission and Distribution Systems. Przegląd Elektrotechniczny, ISSN 0033-2097, R. 89 NR 185-188.
 Ibrahim, A.A., A. Mohamed, H. Shareef. (2010). Optimal Placement of Voltage Sag Monitors Based on Monitor Reach Area and Sag Severity Index. IEEE Student Conference on Research and Development (SCOReD) pp.467-470.
 Jeff Lamoree, Dave Mueller, Paul Vinett, William Jones (1994). Voltage Sag Analysis Case Studies. IEEE Transactions on Industry Applications 30(4) pp.1083-1089.
 Michael Campbell, Neville Watson, Allan Miller (2015). Smart Meters to Monitor Power Quality at Consumer Premises. EEA Conference & Exhibition.
 Shihui Yang, Fangfang Duan, Ke Li, Bin Li (2015). The Design of Smart Meter with Power Quality Monitoring. International Conference on Applied Science and Engineering Innovation (ASEI) pp1447-1450.