Case Study Article |
Optimal Placement of PMUs in Smart Grid for Voltage Stability Monitoring using AMPSO and PSAT
Author(s): Palepu Suresh Babu1 and Dr. M Damodar Reddy2
Published In : International Journal of Electrical and Electronics Research (IJEER) Volume 11, Issue 1
Publisher : FOREX Publication
Published : 05 February 2023
e-ISSN : 2347-470X
Page(s) : 31-38
Abstract
Efficient energy use is critical for a growing nation like India. The smart grid (SG) idea enables the creation of a highly dependable electricity system that optimizes existing resources. The Indian electricity grid as it now exists needs fundamental modifications to satisfy increasing demand and to make the system more intelligent and dependable. Since the past several decades, power system stability has been seen as a significant challenge to power system researchers and utilities. With a not many strategically placed Phasor Measurement Units (PMUs), it may be feasible to observe the power system stability of the network. This article suggests an optimum location for PMUs, considering the effect of power system stability-related serious situations. The disturbances have been prioritized according to their voltage stability boundary (the gap among the stand case working and nose points). Changes in the voltage stability tolerance due to shifting load conditions were also considered in the crucial contingency determination. PMUs were inserted in the system based on Adaptive Mutated Particle Swarm Optimization (AMPSO) findings for the intact system and crucial contingency scenarios on the basis of voltage stability. The effectiveness of the suggested PMUs placement strategy was determined by examining nose curves produced with PMUs data and pseudo-observations under increasing demands to nose curves calculated offline using continuation power flow data. Using the software tool Power-System Analysis Toolbox (PSAT), case studies were conducted on a conventional IEEE14 bus system and a realistic 246 bus Indian Power Grid system.
Keywords: Optimal PMUs placement
, Voltage stability
, Contingencies
, Adaptive Mutated Particle Swarm Optimization
, Geography
, Observability
.
Palepu Suresh Babu*, Department of Electrical & Electronics Engineering, Research Scholar, SVUCE, Tirupati, 517502, India; Email: sureshram48@gmail.com
Dr. M Damodar Reddy, Department of Electrical & Electronics Engineering, Research Scholar, SVUCE, Tirupati, 517502, India; Email: mdreddy999@rediffmail.com
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[1] India Smart Grid Task Force. An initiative of Ministry of Power, Government of India. 2012, http://www.cseb.gov.in/cspdcl/rapdrp/ SCADA-DMS/RFP%20for%20SIA_05-12-2012.pdf.
-
[2] Manash Jyoti Baishya, Satyajit Bhuyan and Kritanjali Das (2022), Centralized Reactive Power Controller for Grid Stability and Voltage Control. IJEER 10(4), 1146-1153. DOI: 10.37391/IJEER.100462. [Cross Ref]
-
[3] Dr. K. Sasikala, Dr. J. Jayakumar, Dr. A. Senthil Kumar, Dr. Shanty Chacko, Dr. Hephzibah Jose Queen (2022), Regression Based Predictive Machine Learning Model for Pervasive Data Analysis in Power Systems. IJEER 10(3), 550-556. DOI: 10.37391/IJEER.100324. [Cross Ref]
-
[4] K. E. Martin et al, “Exploring the IEEE Standard C37.118-2005 Synchrophasors for Power Systems,” IEEE Trans. on Power Systems, vol. 23, no. 4, pp. 1805-1811, October 2008.
-
[5] Jaime De La Ree, V. Centeno, J. S. Thorp and A. G. Phadke “Synchronized Phasor Measurement Applications in Power Systems,” IEEE Trans. on Smart Grid, vol. 1, no. 1, pp. 20-27, April 2010. [Cross Ref]
-
[6] A. Exposito and A. Abur, “Generalized Observability Analysis and Measurement Classification,” IEEE Trans. on Power Systems, vol. 13, no. 3, pp. 1090-1095, August 1998. [Cross Ref]
-
[7] A. B. Antonio, J. R. A. Torreao and M. B. Do Coutto Filho, “Meter Placement for Power System State Estimation using Simulated Annealing,” Proc. of the IEEE Porto Power Tech Conference, vol. 3, pp. 1-5, September 10-13, 2001, Porto, Portugal. [Cross Ref]
-
[8] H. Mori and Y. Sone, “Tabu Search based Meter Placement for Topological Observability in Power State Estimation,” Proc. of the IEEE Transmission and Distribution Conference, vol. 1, pp. 172-177, April 11-16, 1999, Kawasaki, Japan. [Cross Ref]
-
[9] B. Milosevic and M. Begovic, “Nondominated Sorting Genetic Algorithm for Optimal Phasor Measurement Placement,” IEEE Trans. on Power Systems, vol. 18, no. 1, pp. 69-75, February 2003. [Cross Ref]
-
[10] I. Kamwa, A. Pradhan and G. Joos, “Automatic Segmentation of Large Power Systems into Fuzzy Coherent Areas for Dynamic Vulnerability Assessment, ” IEEE Trans. on Power Systems, vol. 22, no. 4, pp. 1972-1985, November 2007. [Cross Ref]
-
[11] V. Madani, M. Parashar, J. Giri, S. Durbha, F. Rahmatian, D. Day, M. Adamiak and G. Sheble “PMU Placement Considerations- A Roadmap for Optimal PMU Placement,” IEEE/PES Power System Conference and Exposition (PSCE), pp. 1-7, March 20-23, 2011, Arizona, USA. [Cross Ref]
-
[12] M. Rios and O. Gomez, “Identification of Coherent Groups and PMU Placement for Inter-Area Monitoring based on Graph Theory,” IEEE/PES International Conference on Innovative Smart Grid Technologies (ISGT), pp. 1-7, October 19-21, 2011, Colombia, Latin America. [Cross Ref]
-
[13] R. Emami and A. Abur, “Robust Measurement Design by Placing Synchronized Phasor Measurements on Network Branches,” IEEE Trans. on Power Systems, vol.25, no. 1, pp. 38-43, February 2010. [Cross Ref]
-
[14] Nikolaos M. Manousakis and George N. Korres, “Optimal PMU Placement for Numerical Observability Considering Fixed Channel Capacity—A Semidefinite Programming Approach,” IEEE Trans. on Power Systems, vol. 31, no. 4, pp. 3328-29, July 2016. [Cross Ref]
-
[15] R. F. Nuqui and A. G. Phadke, “Phasor Measurement Unit Placement Techniques for Complete and Imcomplete Observability,” IEEE Trans. on Power Delivery, vol. 20, no. 4, pp. 2381-2388, October 2005. [Cross Ref]
-
[16] T. A. Baldwin, L. Mili, M. B. Boisen and R. Adapa, “Power System Observability with Minimal Phasor Measurement Placement,” IEEE Trans. on Power Systems, vol. 8, no. 2, pp. 2381-2388, May 1993. [Cross Ref]
-
[17] B. Zou, “Optimal Placement of PMUs by Integer Linear Programming,” IEEE Trans. on Power Systems, vol. 23, no. 3, pp.1525-1526, August 2008. [Cross Ref]
-
[18] PankajSahu and M. K. Verma, "Optimal Placement of PMUs in Power System Network for Voltage Stability Estimation under Contingencies,” 6th IEEE International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA), pp. 365-370, 5-7 October 2017, Roorkee, India. [Cross Ref]
-
[19] A. Pal, G. A. Sanchez-Ayala, V. A. Centeno and J. S. Thorp, “A PMU Placement Scheme Ensuring Real Time Monitoring of Critical Buses of the Network,” IEEE Trans. on Power Delivery, vol. 29, no. 2, pp. 510-517, April 2014. [Cross Ref]
-
[20] V. Seshadri Sravan Kumar and D. Thukaram, “Approach for Multistage Placement of Phasor Measurement Units based on Stability Criterion,” IEEE Trans. on Power Systems, vol. 31, no. 4, pp. 2714-2721, July 2016. [Cross Ref]
-
[21] M. B. Mohammadi, Rahmat-Allah Hooshmand and F. H. Fesharaki, “A New Approach for Optimal Placement of PMUs and Their Required Communication Infrastructure in Order to Minimize the Cost of the WAMS,” IEEE Trans. on Smart Grid, vol. 7, no. 1, pp. 84-93, January 2016. [Cross Ref]
-
[22] Anamitra Pal, Chetan Mishra, Anil Kumar S. Vullikanti and S.S. Ravi, “General Optimal Substation Coverage Algorithm for Phasor Measurement Unit Placement in Practical Systems,” IET Generation, Transmission & Distribution, vol. 11, no. 2, pp. 347-353, 2017. [Cross Ref]
-
[23] J. Kennedy and R. C. Eberhart, “A discrete binary version of the particle swarm algorithm,” in 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation, 1997, vol. 5, pp. 4–8. [Cross Ref]
-
[24] S. Mirjalili and A. Lewis, “S-shaped versus V-shaped transfer functions for binary Particle Swarm Optimization,” Swarm Evol. Comput., vol. 9, pp. 1– 14, Apr. 2013. [Cross Ref]
-
[25] N. H. A. Rahman and A. F. Zobaa, “Integrated mutation strategy with modified binary PSO algorithm for optimal PMUs placement,” IEEE Transactions on Industrial Informatics, vol. 13, no. 6, December 2017. [Cross Ref]
-
[26] V. Ajjarapu and C. Christy, “The Continuation Power Flow: A Tool for Steady State Voltage Stability Analysis,” IEEE Trans. on Power Systems, vol. 7, no. 1, pp. 416-423, February 1992. [Cross Ref]
-
[27] IEEE 14-Bus System; [Available: http://www.ee.washington.edu/research/pstca/pf14/pg_tca14bus.htm].
-
[28] North Region Power Grid (NRPG) 246-Bus System; 2013 [Available: http://www.iitk.ac.in/eeold/facilities/Research_labs/Power_System/NRPG-DATA.pdf].