A New Power System Restoration Technique based on WAMS Partitioning

  • N. V. Phanendra Babu Electrical Engineering Department, National Institute of Technology Warangal, Telangana, India
  • P. Suresh Babu Electrical Engineering Department, National Institute of Technology Warangal, Telangana, India
  • D. V. S. S. Siva Sarma Electrical Engineering Department, National Institute of Technology Warangal, Telangana, India
Keywords: wide-area monitoring system, WAMS, power system observability, power system restoration, phasor data concentrators, PDCs

Abstract

An important feature of a Wide-Area Measurement System (WAMS) is the ability to recover data during a communication failure. This paper presents a novel scheme of partitioning a PMU installed power network into a number of WAMS regions in order to make the power system restoration process simpler. This algorithm also proposes the optimal placement of Phasor Data Concentrators (PDCs) in each region to record the data from PMUs. This paper considers the restoration constraints like transformer equivalent bus, generation-load balance and the observability of region for the partitioning of power system. The proposed scheme is demonstrated with an IEEE-30 bus system. It is then applied on IEEE-39, IEEE-118 bus systems and on a Northern Regional Grid of the Indian Power Grid.

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References

S. Tamronglak, S. E Horowitz, A. G. Phadke, J. S. Thorp, “Anatomy of power system blackouts: preventive relaying strategies”, IEEE Transactions on Power Delivery, Vol. 11, No. 2, pp. 708–715, 1996

M. Adibi, L. H. Fink, “Power system restoration planning”, IEEE Trans. Power Syst., Vol. 9, No. 1, pp. 22–28, 1994

F. Wu, A. Monticelli, “Analytical tools for power system restoration—Conceptual design”, IEEE Trans. Power Syst., Vol. 3, No. 1, pp. 10–16, 1988

R. J. Kafka, D. R. Penders, S. H. Bouchey, M. M. Adibi, “System restoration plan development for a metropolitan electric system”, IEEE Trans. Power App. Syst., Vol. PAS-100, pp. 3703–3713, 1981

J. A. Huang, F. D. Galiana, G. T.Vuong, “Power system restoration incorporating interactive graphics and optimization”, Proc. 14th Int. Conf. Power Ind. Appl., Baltimore, MD, 1991

S. A. N. Sarmadi, A. S. Dobakhshari, S. Azizi, A. M. Ranjbar, “A Sectionalizing Method in Power System Restoration Based on WAMS”, IEEE Transactions on Smart Grids,Vol. 2, No. 1, 2011

T. L. Baldwin, L. Mili, M. B. Boisen,R. Adapa, “Power system observability with minimal phasor measurement placement”, IEEE Trans. Power Syst., Vol. 8, No. 2, pp. 707–715, 1993

F. J. Marin, F. Garcia-Lagos, G. Joya,F. Sandoval, “Genetic algorithms for optimal placement of phasor measurement units in electric networks”, Electron. Lett., Vol. 39, No. 19, pp. 1403–1405, 2003

M. Hajian, A. M. Ranjbar, T. Amraee, A. R. Shirani, “Optimal placement of phasor measurement units: particle swarm optimization approach”, Proc. Int. Conf. Intelligent Systems Application Power Systems, pp. 1–6, November 2007

N. V. Phanendra Babu, P. Suresh Babu, D. V. S. S. Siva Sarma, “A Reliable Wide-Area Measurement System Using Hybrid Genetic Particle Swarm Optimization (HGPSO)”, International Review of Electrical Engineering, Vol. 10, No. 6, pp. 747-763, 2015

A. Mahari, H. Seyedi, “Optimal PMU placement for power system observability using BICA, considering measurement redundancy”, Electric Power Systems Research, Vol. 103, pp. 78– 85, 2013

A. Kulanthaisamy, R. Vairamani, N. K. Karunamurthi, C. Koodalsamy, “A Multi-objective PMU Placement Method Considering Observability and Measurement Redundancy using ABC Algorithm”, Advances in Electrical and Computer Engineering, Vol. 14, No. 2, pp. 117 – 128, 2014

K. Arul Jeyaraj, V. Rajasekaran, S. K. Nandha Kumar, K. Chandrasekaran, “A Multi-objective Placement of Phasor Measurement Units Considering Observability and Measurement Redundancy Using Firefly Algorithm”, J. Electr. Eng. Technol., Vol. 10, No. 2, 474-486, 2015.

B. Xu, A. Abur, “Observability analysis and measurement placement for system with PMUs”, IEEE Power Systems Conf. Exposition, , Vol. 2, pp. 943–946, October 2004

B. Gou, “Optimal placement of PMUs by integer linear programming”, IEEE Trans. Power Syst., Vol. 23, No. 3, pp. 1525–1526, 2008

B. Gou, “Generalized integer linear programming formulation for optimal PMU placement”, IEEE Trans. Power Syst., Vol. 23, No. 3, pp. 1099–1104, 2008

S. Chakrabarti, E. Kyriakides, D. G. Eliades, “Placement of synchronized measurements for power system observability,” IEEE Trans. Power Del., Vol. 24, No. 1, pp. 12–19, 2009

E. Caro, R. Singh, B. C. Pal, A. J. Conejo, R. A. Jabr, “Participation factor approach for phasor measurement unit placement in power system state estimation”, IET Gener. Transm. Distrib., Vol. 6, No. 9, pp. 922–929, 2012

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