Optimum Placement of PMUs in the Power Transmission System of Afghanistan

Year 2017, Volume: 30 Issue: 4, 268 - 281, 11.12.2017

M. Timur Aydemir , Ali Shan , Abdul Karim Mesbah

Abstract

Phasor Measurement Units (PMU) are essential parts of smart grids. There
are several algorithms to determine the placement of these units for optimal
observability of the system. In this paper two different hybrid methods and
Integer Linear Programming method have been used for the placement of PMUs in
the power system of Afghanistan. One of the hybrid approaches presented here is
based on the combination of the Greedy and Breadth First Search algorithms. The
other one is based on the Binary Search and Global Search algorithms. The power
system of Afghanistan has been slightly modified to include the renewable
energy sources. Results obtained have been compared between each other. The
result of these algorithms are more proper than other algorithms like Depth
First Search, Genetic Algorithm, Partial Swarm Algorithm and Binary Search algorithms that have been compared by other authors on IEEE test
systems.

Keywords

PMU, Power System, Optimal Placement

References

• A. G. Phadke and J. S. Thorp, “History and application of phasor measurement,” in Proc. Power Syst. Conf. Expo., 2006, pp.
• F. Li, W. Qiao, H. Sun, H.Wan, J.Wang, Y. Xia, Z. Zhu, and P. Zhang, “Smart transmission grid: Vision and framework,” IEEE Trans. Smart Grid, vol. 1, no. 2, pp. 168–177, 2010.
• Management and control of domestic smart grid technology IEEE Trans. Smart Grid, vol. 1.no. 2. Sept.2010.
• B. Xu and A. Abur, “Observability analysis and measurement placement for systems with PMUs,” IEEE Power Syst. Conf. Expo., vol. 2, pp. 943–946 Oct. 2004.
• G. Phadke and J. S. Thorp, Synchronized Phasor Measurements and Their Applications. USA, 2008.
• “Power Sector Master Plan”, Ministry of Energy and Water of Republic Islamic of Afghanistan, Prepared by FICHTNER GmbH & Co. KG 2013.
• Afghanistan Energy Information Center (AEIC), Ministry of Energy and Water of Republic Islamic of Afghanistan.
• Energy sector Strategy, Afghanistan National Development Strategy Volume II Pillar III, Republic of Afg. 2008.
• NREL – National Renewable Energy Laboratory USA.nrel.gov/international/ra_afghanistan. Html.
• Treatise on the Power System of Afghanistan, Ministry of Energy and Water, Republic of Afghanistan. Kabul, Afghanistan
• Ministry of Energy and Water of Afghanistan, Afghanistan Wind Energy information, June 2007, available in nrel.gov/ international/ pdfs/ afg_pak _wind_june07.pdf
• Optimal Zero Injection Considerations in PMU Placement: An ILP Approach, Sanjay Dambhare Electrical Engineering Department Indian Institute of Technology Bombay, India, 2008
• Improvements on the GLOBAL Optimization Algorithm with Numerical Tests, László Pála and Tibor Csendes, Faculty of Business and Humanities, Sapientia University, Miercurea-Ciuc, Romania, 2007
• Phasor Measurement Unit (PMU) Placement Optimisation in Power Transmission Network based on Hybrid Approach, Jiangxia Zhong, Master thesis, School of Electrical and Computer Engineering RMIT University 2012
• A Linear Algorithm for Minimum Phasor Measurement Units Placement, Xingchen A. Yuan, Member, IEEE 2010
• Optimal Placement of Phasor Measurement Units using the Advanced Matrix Manipulation Algorithm, Abdul-Aziz Fish, Department of Electrical Engineering, University of Cape Town 2013.
• Devesh Dua, S. A. Soman, Optimal Multistage Scheduling of PMU Placement: An ILP Approach, IEEE 2008.
• T. H. Cormen, C. E. Leisserson, and R. L. Rivest, Introduction to Algorithms, MIT Press, Third Edition, 2009.
• Ali Abur, Bei Xu, “Optimal Placement of Phasor Measurement Units”, Texas A&M University, College Station, TX, PSERC Publication 05-58, October 2005.
• James Ross Altman, A Practical Comprehensive Approach to PMU Placement for Full Observability, Thesis of Master degree, Virginia USA 2007.
• Bei Gou, Optimal Placement of PMUs by Integer Linear Programming. IEEE Transactions on Power Systems, VOL. 23, NO. 3, AUGUST 2008.