Placement of Synchronized Measurements for Power System Observability during Cascaded Outages
-
Venkatesh Thirugnanasambandam
and
Trapti Jain
Abstract
Cascaded outages often result in power system islanding followed by a blackout and therefore considered as a severe disturbance. Maintaining the observability of each island may help in taking proper control actions to preserve the stability of individual islands thus, averting system collapse. With this intent, a strategy for placement of synchronized measurements, which can be obtained from phasor measurement units (PMU), has been proposed in this paper to keep the system observable during cascaded outages also. Since, all the cascaded failures may not lead to islanding situations, therefore, failures leading to islanding as well as non-islanding situations have been considered. A topology based algorithm has been developed to identify the islanding/non-islanding condition created by a particular cascaded event. Additional contingencies such as single line loss and single PMU failure have also been considered after the occurrence of cascaded events. The proposed method is further extended to incorporate the measurement redundancy, which is desirable for a reliable state estimation. The proposed scheme is tested on IEEE 14-bus, IEEE 30-bus and a practical Indian 246-bus networks. The numerical results ensure the observability of the power system under system intact as well as during cascaded islanding and non-islanding disturbances.
Acknowledgements
The authors sincerely acknowledge the financial support provided by Department of Science and Technology (D.S.T), New Delhi, India under research Grant No. SB/FTP/ETA-269/2012 dated 21/05/2013 to carry out this work.
References
[1] Aghamohammadi MR, Shahmohammadi A. Intentional islanding using a new algorithm based on ant search mechanism. Int J Elect Power Energy Syst. 2012;35(1):138–47.10.1016/j.ijepes.2011.10.006Search in Google Scholar
[2] Pai FS, Huang SJ. A detection algorithm for islanding-prevention of dispersed consumer-owned storage and generating units. IEEE Trans Energy Convers. 2001 Dec;16(4):346–51.10.1109/60.969474Search in Google Scholar
[3] Senroy N, Heydt GT, Vittal V. Decision tree assisted controlled islanding. IEEE Trans Power Syst. 2006 Nov;21(4):1790–97.10.1109/TPWRS.2006.882470Search in Google Scholar
[4] Xu G, Vittal V, Meklin A, Thalman JE. Controlled islanding demonstrations on the WECC system. IEEE Trans Power Syst. 2011 Feb;26(1):334–43.10.1109/TPWRS.2010.2047413Search in Google Scholar
[5] Ding L, Gonzalez-Longatt FM, Wall P, Terzija V. Two-step spectral clustering controlled islanding algorithm. IEEE Trans Power Syst. 2013 Feb;28(1):75–84.10.1109/TPWRS.2012.2197640Search in Google Scholar
[6] Huang L, Sun Y, Xu J, Gao W, Zhang J, Wu Z. Optimal PMU placement considering controlled islanding of power system. IEEE Trans Power Syst. 2014 Mar;29(2):742–55.10.1109/TPWRS.2013.2285578Search in Google Scholar
[7] Srivastava SC, Velayutham A, Agrawal K, Bakshi A Report of the Enquiry Committee on Grid Disturbance in Northern Region on 30th July 2012 and in Northern, Eastern & North-eastern Region on 31st July 2012. Enquiry Committee, New Delhi. Aug. 2012.Search in Google Scholar
[8] Baldwin T, Mili L, Boisen JM, Adapa R. Power system observability with minimal phasor measurement placement. IEEE Trans Power Syst. 1993 May;8(2):707–15.10.1109/59.260810Search in Google Scholar
[9] Pal A, Sanchez-Ayala GA, Centeno VA, Thorp JS. A PMU placement scheme ensuring real-time monitoring of critical buses of the network. IEEE Trans Power Del. 2014 Apr;29(2):510–17.10.1109/TPWRD.2013.2279172Search in Google Scholar
[10] Rashidi F, Abiri E, Niknam T, Salehi MR. Optimal placement of PMUs with limited number of channels for complete topological observability of power systems under various contingencies. Int J Elect Power Energy Syst. 2015;67:125–37.10.1016/j.ijepes.2014.11.015Search in Google Scholar
[11] Abiri E, Rashidi F, Niknam T, Salehi MR. Optimal PMU placement method for complete topological observability of power system under various contingencies. Int J Elect Power Energy Syst. 2014;61:585–93.10.1016/j.ijepes.2014.03.068Search in Google Scholar
[12] Dua D, Dambhare S, Gajbhiye RK, Soman S. Optimal multistage scheduling of PMU placement: an ILP approach. IEEE Trans Power Del. 2008 Oct;23(4):1812–20.10.1109/TPWRD.2008.919046Search in Google Scholar
[13] Gou B, Kavasseri RG. Unified PMU placement for observability and bad data detection in state estimation. IEEE Trans Power Syst. 2014 Nov;29(6):2573–80.10.1109/TPWRS.2014.2307577Search in Google Scholar
[14] G´Omez O, R´Ios MA. ILP-based multistage placement of PMUs with dynamic monitoring constraints. Int J Elect Power Energy Syst Dec. 2013;53:95–105.10.1016/j.ijepes.2013.03.038Search in Google Scholar
[15] Esmaili M, Gharani K, Shayanfar HA. Redundant observability PMU placement in the presence of flow measurements considering contingencies. IEEE Trans Power Syst. 2013 Nov;28(4):3765–73.10.1109/TPWRS.2013.2257883Search in Google Scholar
[16] Chakrabarti S, Kyriakides E, Eliades DG. Placement of synchronized measurements for power system observability. IEEE Trans Power Del. 2009 Jan;24(1):12–19.10.1109/TPWRD.2008.2008430Search in Google Scholar
[17] Kavasseri R, Srinivasan SK. Joint placement of phasor and power flow measurements for observability of power systems. IEEE Trans Power Syst. 2011 Nov;26(4):1929–36.10.1109/TPWRS.2011.2130544Search in Google Scholar
[18] Nuqui RF, Phadke AG. Phasor measurement unit placement techniques for complete and incomplete observability. IEEE Trans Power Del. 2005 Oct;20(4):2381–88.10.1109/TPWRD.2005.855457Search in Google Scholar
[19] Peng J, Sun Y, Wang H. Optimal PMU placement for full network observability using Tabu search algorithm. Int J Elect Power Energy Syst. 2006 May;28(4):223–31.10.1016/j.ijepes.2005.05.005Search in Google Scholar
[20] Rather ZH, Chen Z, Thogersen P, Lund P, Kirby B. Realistic approach for phasor measurement unit placement: consideration of practical hidden costs. IEEE Trans Power Del. 2015 Feb;30(1):3–15.10.1109/TPWRD.2014.2335059Search in Google Scholar
[21] Chakrabarti S, Venayagamoorthy GK, Kyriakides E. PMU placement for power system observability using binary particle swarm optimization. In: Proceedings of the IEEE Australasian Universities Power Engineering Conference. 2008;1–5.Search in Google Scholar
[22] Yang P, Tan Z, Wiesel A, Nehorai A. Placement of PMUs considering measurement phase-angle mismatch. IEEE Trans Power Del. 2015 Apr;30(2):914–22.10.1109/TPWRD.2014.2365550Search in Google Scholar
[23] Ramachandran B, Thomas Bellarmine G. Improving observability using optimal placement of phasor measurement units. Int J Elect Power Energy Syst Mar. 2014;56:55–63.10.1016/j.ijepes.2013.10.005Search in Google Scholar
[24] Aminifar F, Lucas C, Khodaei A, Fotuhi-Firuzabad M. Optimal placement of phasor measurement units using immunity genetic algorithm. IEEE Trans Power Del. 2009 Jul;24(3):1014–20.10.1109/TPWRD.2009.2014030Search in Google Scholar
[25] Milosevic B, Begovic M. Nondominated sorting genetic algorithm for optimal phasor measurement placement. IEEE Trans Power Syst. 2003 Feb;18(1):69–75.10.1109/TPWRS.2002.807064Search in Google Scholar
[26] Peng C, Sun H, Guo J. Multi-objective optimal PMU placement using a non-dominated sorting differential evolution algorithm. Int J Elect Power Energy Syst. 2010 Oct;32(8):886–92.10.1016/j.ijepes.2010.01.024Search in Google Scholar
[27] Baldick R, Chowdhury B, Dobson I, Dong Z, Gou B, Hawkins D, et al. Vulnerability assessment for cascading failures in electric power systems. In: Proceedings of the IEEE Power Systems Conference and Exposition; 2009: 1–9.10.1109/PSCE.2009.4839939Search in Google Scholar
[28] Sauer P, Pai M. Power system dynamics and stability. Upper Saddle River, New Jersey, USA: Printice Hall, 1998.Search in Google Scholar
[29] Power Systems Test Case Achieve. University of Washington [online]. http://ee.washington.edu/research/pstca/; accessed: 02 Jan 2014.Search in Google Scholar
[30] Power System Operation Corporation Ltd. Northern Regional Load Dispatch Centre [online]. http://www.nrldc.org/; accessed: 21 Jan 2014.Search in Google Scholar
[31] Venkatesh T, Jain T. Intelligent-search technique based strategic placement of synchronized measurements for power system observability. Expert Syst Appl. 2015 Jun;42(10):4768–77.10.1016/j.eswa.2015.01.067Search in Google Scholar
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Articles in the same Issue
- Placement of Synchronized Measurements for Power System Observability during Cascaded Outages
- A Methodology to Prevent Failure in Single Pole Reclosing Operations
- Load Model Verification, Validation and Calibration Framework by Statistical Analysis on Field Data
- A Kalman Filter Based Technique for Stator Turn-Fault Detection of the Induction Motors
- Multi-objective Design Method for Hybrid Active Power Filter
- A Study on Effect of Concrete Foundations on Resistance and Surface Potentials of Gas Insulated Substation Grounding Systems
- Access Selection Algorithm of Heterogeneous Wireless Networks for Smart Distribution Grid Based on Entropy-Weight and Rough Set
- Voltage Sag due to Pollution Induced Flashover Across Ceramic Insulator Strings
- Study on a Novel Bearing Fault Diagnosis Method from Frequency and Energy Perspective
