Grid Nodes Selection Strategies for Power Quality Monitoring
Source abstract
Abstract
In the past few years, technical progress has determined traditional electric power system conversion to Smart Grids, and consequently empowered a worldwide renaissance in the forgotten PQ field. Since the installation of PQ monitors is currently associated with high investments and operational costs, it is inappropriate to install a monitor on each grid busbar. Hence, grid operators must establish the best cost–benefit scenario for monitors installation and achieve maximal observability with a limited number of analyzers. Firstly, this paper presents a review of the state-of-the-art of displacement strategies, and discusses them regarding the tendencies of node selection criteria, the test schemes used, and the grid size. Secondly, the relevant fundamental issues which must be solved in the future in order to eliminate restrictions in PQ monitors’ allocation planning are presented and discussed. These issues concern the treatment, interpretation, and assessment of PQ events, measurement chain technical features, PQ’s role in the grid planning stage, communication technologies, and other remote monitoring aspects, and integration with other Smart Grid applications. The provided insights are based on experience which has been obtained during the PQ measurement campaign in the Lithuanian DSO grid. Finally, a PQ system development strategy—both short-term and long-term perspectives—in the Lithuanian distribution grid is presented, including monitors allocation criteria.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Islanding Detection in Power Systems · Power Systems Fault Detection · Power Line Communications and Noise
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Smart Grids and Renewable Energy Laboratory, Lithuanian Energy Institute, 44403 Kaunas, Lithuania
Funding
Lithuanian Energy Institute
References (37)
Show source-provided references
1. (2010). Voltage Characteristics of Electricity Supplied by Public Electricity Networks (Standard No. EN 50160:2010).
2. (2016). Electromagnetic Compatibility (EMC)—Part 4-30: Testing and Measurement Techniques—PQ Measurement Methods (IEC 61000-4-30:2015) (Standard No. LST EN 61000-4-30:2015).
3. (2019). IEEE Recommended Practice for Monitoring Electric Power Quality (Standard No. IEEE Std 1159-2019).
4. (2019). IEEE Recommended Practice for Power Quality Data Interchange Format (PQDIF) (Standard No. IEEE Std 1159-3-2019).
5. (2011). IEEE Guide for Smart Grid Interoperability of Energy Technology and Information Technology Operation with the Electric Power System (EPS), End-Use Applications, and Loads (Standard No. IEEE Std 2030-2011).
6. Lauwers, P., Pirenne, C., Sommereyns, P., Vanceotsem, W., Jaeger, E., and Witte, M. (2005, January 6–9). Power Quality Monitoring in Belgian Distribution Networks. Proceedings of the 18th CIRED, Turin, Italy.10.1049/cp:20051066 ↗
7. Reis DC, S., Villela PR, C., Duque, C.A., and Ribeiro, P.F. (2008, January 20–24). Transmission Systems Power Quality Monitors Allocation. Proceedings of the IEEE Power and Energy Society General Meeting—Conversion and Delivery of Electrical Energy in the 21st Century, Pittsburg, PA, USA.10.1109/PES.2008.4596309 ↗
8. Chiumeo, R., Porrino, A., Garbero, L., Tenti, L., and Nigris, M. (2009, January 8–11). The Italian Power Quality Monitoring System of the MV Network Results of the Measurements of Voltage Dips after 3 Years Campaign. Proceedings of the 20th CIRED, Prague, Czech Republic.10.1049/cp.2009.0952 ↗
9. Bollen, M., Baumann, P., Beyer, Y., Castel, R., Esteves, J., Faias, S., Friedl, W., Larzeni, S., Trhuli Villa, F., and Strom, L. (2013, January 10–13). Guidelines for Good Practice on Voltage Quality Monitoring. Proceedings of the 22nd CIRED, Stockholm, Sweden.10.1049/cp.2013.0685 ↗
10. A New Approach for Optimal Power Quality Monitor Placement in Power System Considering System Topology
11. Optimized Allocation of Power Quality Monitors in Transmission Systems: A Multi-objective Approach10.1016/j.ijepes.2014.06.064 ↗
12. Allocation of Power-Quality Monitors Using the P-Median to Identify Nontechnical Losses10.1109/TPWRD.2016.2555282 ↗
13. Freitas, A.F., Amaral, F.V., Silva, J.A.L., Saldanha, R.R., and Silva, S.M. (2016, January 16–19). Optimum Allocation of Power Quality Monitors in Electric Power Systems—A Case Study. Proceedings of the 17th ICHQP, Belo Horizonte, Brazil.
14. Multi-objective Optimization for Power Quality Monitoring Allocation Considering Voltage Sags in Distribution Systems10.1016/j.ijepes.2017.10.011 ↗
15. Optimal Positioning of Power Quality Meters for Monitoring Potential Conditions of Harmonic Resonances in a MV Distribution System10.1109/TPWRD.2019.2923365 ↗
16. Multi-Objective Approach for Power Quality Monitor Allocation with Symmetry in Short-Duration Voltage Variations10.1109/TPWRD.2018.2890233 ↗
17. Martins, P.E.T., and Oleskovicz, M. (June, January 29). Multi-objective Optimization Aiming to Minimize the Number of Power Quality Monitors and Multipe Fault Estimations in Unbalanced Power Distribution Systems. Proceedings of the 2022 20th International Conference on Harmonics & Quality of Power (ICHQP), Naples, Italy.10.1109/ICHQP53011.2022.9808657 ↗
18. Optimal Monitoring of Voltage Sags Through Simultaneous Analysis of Short-circuits in Distribution Systems10.1049/iet-gtd.2016.1648 ↗
19. Feng, D., Wang, T., Ying-Ying, L., Zhou, S., and Li, Y. (December, January 29). A New Method for Allocation of Power Quality Monitoring Sites. Proceedings of the 9th IEEE IPEMC2020-ECCE Asia, Nanjing, China.10.1109/IPEMC-ECCEAsia48364.2020.9368115 ↗
20. Analysis of the Origin of Measured Voltage Sags in Interconnected Networks10.1016/j.epsr.2017.09.008 ↗
21. Mobile Monitoring System to Take Nationwide PQ Measurements on Electricity Transmission System10.1016/j.measurement.2008.09.007 ↗
22. Vinnal, T., Jarkovoi, M., and Kütt, L. (2018, January 12–13). Voltage Dips and Swells in Low Voltage Network of Estonia. Proceedings of the IEEE 59th RTUCON, Riga, Latvia.10.1109/RTUCON.2018.8659899 ↗
23. Large Scale Proactive Power-Quality Monitoring: An Example from Australia10.1109/TPWRD.2016.2562680 ↗
24. Western Power Distribution (2021, May 05). Primary Networks Power Quality Analysis. Available online: https://www.westernpower.co.uk/projects/primary-networks-power-quality-analysis-pnpqa.
25. (2016). Electromagnetic Compatibility (EMC)—Part 4-15: Testing and Measurement Techniques—Flickermeter—Functional and Design Specifications (IEC 61000-4-15:2010) (Standard No. LST EN 61000-4-15:2011).
26. (2016). Electromagnetic Compatibility (EMC)—Part 4-7: Testing and Measurement Techniques—General Guide on Harmonics and Interharmonics Measurements and Instrumentation, for Power Supply Systems and Equipment Connected Thereto (IEC 61000-4-7:2002) (Standard No. LST EN 61000-4-7:2004).
27. Smart Grid Communication and Information Technologies in the Perspective of Industry 4.0: Opportunities and Challenges10.1016/j.cosrev.2018.08.001 ↗
28. A Comprehensive Overview on Signal Processing and Artificial Intelligence Techniques Applications in Classification of Power Quality Disturbances10.1016/j.rser.2015.07.068 ↗
29. A Review of Wireless Communications for Smart Grid10.1016/j.rser.2014.08.036 ↗
30. Council of European Energy Regulators (2016). 6th CEER Benchmarking Report on the Quality of Electricity and Gas Supply, CEER.
31. A Survey on LPWA Technology: LoRa and NB-IoT10.1016/j.icte.2017.03.004 ↗
32. A Comparative Study of LPWAN Technologies for Large-Scale IoT Deployment10.1016/j.icte.2017.12.005 ↗
33. Ethernet Alliance (2022, December 12). 2020 Roadmap. Available online: https://ethernetalliance.org/technology/2020-roadmap.
34. (2023, February 20). How Fiber to the Home Broadband Works. Available online: https://computer.howstuffworks.com/fiber-to-the-home2.htm.
35. (2023, February 06). Comparing Active and Passive Optical Networks. Available online: https://www.1000gig.com/comparing-active-and-passive-optical-networks.
36. International Industry Practice on Power Quality Monitoring10.1109/TPWRD.2013.2283143 ↗
37. Baublys, J., Jankauskas, P., Marckevičius, L.A., and Morkvėnas, A. (2008). Izoliacija ir Viršįtampiai, Kaunas University of Technology—Publishing House “Technologija”.