Optimal Placement of Phasor Measurement Unit on Electrical Grid Using a Hybrid Technique
Keywords:
Phasor Measurement Units (PMUs), Particle Swarm Optimization (PSO), Tabu-search (TS), hybrid method, Network connectivity.Abstract
This paper presents a methodology to determine the optimal location of phasor measurement units (PMUs) in any network to make it observable. This proposed methodology is based on network connectivity information for the optimal placement of Phasor Measurement Unit (PMU) that minimizes the cost of installation and provide the entire power system observability. The method is based on hybridizing the Particle Swarm Optimization and tabu-search (PSO-TS) algorithm. The tabu-lists are used within the PSO algorithm: the first one aims to differentiate the best solutions obtained by particles while the second prevent local optimal solutions non-respecting the constraints. The proposed algorithm is tested on IEEE 14-bus and IEEE 30-bus systems.
References
[1] B.Xu and A. Abur, “Optimal placement of phasor measurement units for state estimation,” Final Project Report, PSERC, Oct. 2005.
[2] B. Xu and A. Abur,“Observability analysis and measurement placement for systems with PMUs,” in proc. IEEE Power Eng. Soc. Power Systems Conf. Expo., Oct. 2004, pp. 943–946.
[3] A. Monticelli, ‘State Estimation in Electric Power Systems: A Generalized Approach’. Boston, MA: Kluwer, 1999.
[4] T.L. Baldwin, L. Mili, M.B. Boisen, R. Adapa, “Power system observability with minimal phasor measurement placement”, IEEE Transactions on Power Systems, Vol. 8, pp. 707–715, 1993.
[5] R.F. Nuqui, A.G. Phadke, “Phasor measurement unit placement techniques for complete and incomplete observability”, IEEE Transactions on Power Delivery, Vol. 20, pp. 2381–2388, 2005.
[6] B. Milosevic, M. Begovic, “Nondominated sorting genetic algorithm for optimal phasor measurement placement”, IEEE Transactions on Power Systems, Vol. 18, pp. 69–75, 2003.
[7] B. Xu, A. Abur, Optimal placement of phasor measurement units for state estimation, Final Project Report, Power Systems Engineering Research Center, 2005.
[8] B. Xu, A. Abur, “Observability analysis and measurement placement for systems with PMUs”, Proceedings of the IEEE PES Power Systems Conference and Exposition, Vol. 2, pp. 943–946, 2004.
[9] C. Rakpenthai, S. Premrudeepreechacharn, S. Uatrongjit, N.R. Watson, “An optimal PMU placement method against measurement loss and branch outage”, IEEE Transactions on Power Delivery, Vol. 22, pp. 101–107, 2005.
[10] J. Peng, Y. Sun, H.F. Wang, “Optimal PMU placement for full network observability using Tabu search algorithm”, Electrical Power and Energy Systems, Vol. 28, pp. 223–231, 2006.
[11] A. Sadu, R. Kumar, R.G. Kavasseri, “Optimal placement of phasor measurement units using particle swarm”, Proceedings of the World Congress on Nature and Biologically Inspired
[12] S. Chakrabarti, E. Kyriakides, “Optimal placement of phasor measurement units for power system observability”, IEEE Transactions on Power Systems, Vol. 23, pp. 1433–1440, 2008.
[13] C. Rakpenthai, S. Premrudeepreechacharn, S. Uatrongjit, N.R. Watson, “An optimal PMU placement method against measurement loss and branch outage”, IEEE Transactions on Power Delivery, Vol. 22, pp. 101–107, 2007.
[14] M. Hurtgen, J.C. Maun, “Optimal PMU placement using iterated local search”, Electric Power and EnergySystems, Vol. 32, pp. 857–860, 2010.
[15] A. Ahmadi, Y. Alinejad-Beromi, M. Moradi, “Optimal PMU placement for power system observability using binary particle swarm optimization and considering measurement redundancy”, Expert Systems with Applications, Vol.38, pp. 7263–7269, 2011.
[16] M. Hajian, A. M. Ranjbar, T. Amraee, B. Mozafari, “Optimal placement of PMUs to maintain network observability using a modified BPSO algorithm”, Electrical Power and Energy Systems, Vol. 33, pp. 28–34 2011.
[17] K. Jamuna, K.S. Swarup, “Optimal placement of PMU and SCADA measurements for security constrained state estimation”, Electrical Power and Energy Systems, Vol. 33, pp. 1658–1665, 2011.
[18] Singh et al., 2011, “Applications of phasor measurement units (PMUs) in electric power system networks incorporated with FACTS controllers”, International Journal of Engineering, Science and Technology, Vol. 3, No. 3, pp. 64-68.
[2] B. Xu and A. Abur,“Observability analysis and measurement placement for systems with PMUs,” in proc. IEEE Power Eng. Soc. Power Systems Conf. Expo., Oct. 2004, pp. 943–946.
[3] A. Monticelli, ‘State Estimation in Electric Power Systems: A Generalized Approach’. Boston, MA: Kluwer, 1999.
[4] T.L. Baldwin, L. Mili, M.B. Boisen, R. Adapa, “Power system observability with minimal phasor measurement placement”, IEEE Transactions on Power Systems, Vol. 8, pp. 707–715, 1993.
[5] R.F. Nuqui, A.G. Phadke, “Phasor measurement unit placement techniques for complete and incomplete observability”, IEEE Transactions on Power Delivery, Vol. 20, pp. 2381–2388, 2005.
[6] B. Milosevic, M. Begovic, “Nondominated sorting genetic algorithm for optimal phasor measurement placement”, IEEE Transactions on Power Systems, Vol. 18, pp. 69–75, 2003.
[7] B. Xu, A. Abur, Optimal placement of phasor measurement units for state estimation, Final Project Report, Power Systems Engineering Research Center, 2005.
[8] B. Xu, A. Abur, “Observability analysis and measurement placement for systems with PMUs”, Proceedings of the IEEE PES Power Systems Conference and Exposition, Vol. 2, pp. 943–946, 2004.
[9] C. Rakpenthai, S. Premrudeepreechacharn, S. Uatrongjit, N.R. Watson, “An optimal PMU placement method against measurement loss and branch outage”, IEEE Transactions on Power Delivery, Vol. 22, pp. 101–107, 2005.
[10] J. Peng, Y. Sun, H.F. Wang, “Optimal PMU placement for full network observability using Tabu search algorithm”, Electrical Power and Energy Systems, Vol. 28, pp. 223–231, 2006.
[11] A. Sadu, R. Kumar, R.G. Kavasseri, “Optimal placement of phasor measurement units using particle swarm”, Proceedings of the World Congress on Nature and Biologically Inspired
[12] S. Chakrabarti, E. Kyriakides, “Optimal placement of phasor measurement units for power system observability”, IEEE Transactions on Power Systems, Vol. 23, pp. 1433–1440, 2008.
[13] C. Rakpenthai, S. Premrudeepreechacharn, S. Uatrongjit, N.R. Watson, “An optimal PMU placement method against measurement loss and branch outage”, IEEE Transactions on Power Delivery, Vol. 22, pp. 101–107, 2007.
[14] M. Hurtgen, J.C. Maun, “Optimal PMU placement using iterated local search”, Electric Power and EnergySystems, Vol. 32, pp. 857–860, 2010.
[15] A. Ahmadi, Y. Alinejad-Beromi, M. Moradi, “Optimal PMU placement for power system observability using binary particle swarm optimization and considering measurement redundancy”, Expert Systems with Applications, Vol.38, pp. 7263–7269, 2011.
[16] M. Hajian, A. M. Ranjbar, T. Amraee, B. Mozafari, “Optimal placement of PMUs to maintain network observability using a modified BPSO algorithm”, Electrical Power and Energy Systems, Vol. 33, pp. 28–34 2011.
[17] K. Jamuna, K.S. Swarup, “Optimal placement of PMU and SCADA measurements for security constrained state estimation”, Electrical Power and Energy Systems, Vol. 33, pp. 1658–1665, 2011.
[18] Singh et al., 2011, “Applications of phasor measurement units (PMUs) in electric power system networks incorporated with FACTS controllers”, International Journal of Engineering, Science and Technology, Vol. 3, No. 3, pp. 64-68.
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Published
2016-06-03
How to Cite
Oduntan, B., Ariyo, F., & Akintade, S. (2016). Optimal Placement of Phasor Measurement Unit on Electrical Grid Using a Hybrid Technique. American Scientific Research Journal for Engineering, Technology, and Sciences, 20(1), 112–121. Retrieved from https://asrjetsjournal.org/index.php/American_Scientific_Journal/article/view/1671
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