Identifying the Optimal Point of Interconnection Based on the Complex Network Theory

Article Preview

Abstract:

The issue about choosing the point of interconnection is important to reduce the impact of Photovoltaic generation to the power grid security and investment. Here we present a model to identify the optimal point of Photovoltaic generation interconnection, based on the identification method of the critical elements in the complex network theory. In the model, the critical threshold is used as the measure index which reflects the minimum capacity of power grid to maintain every element stable operation. The simulations are carried out in the IEEE-118 power system, the IEEE-145 power system and the IEEE-162 power system, and the results show that the nodes with relative large electrical betweenness are good choice of the Photovoltaic generation interconnection points and the generation nodes are better choices compared to the transmission nodes. The work may have a certain guiding significance for the selection of Photovoltaic generation interconnection point and the planning of power system.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

276-281

Citation:

Online since:

October 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] P. Erdos and A. Rényi: On the evolution of random graphs. Publication of the Mathematical Institute of the Hungarian Academy of Sciences Vol. 5(1960), pp.17-61.

Google Scholar

[2] D.J. Watt and S.H. Strogatz: Collective dynamics of small-world, networks, Nature Vol. 393, (1998), pp.440-442.

DOI: 10.1038/30918

Google Scholar

[3] M.E.J. Newman and D.J. Watts: Scaling and percolation in the small-world network model. Phys. Rev. E Vol. 60 (1999), pp.7332-7342.

DOI: 10.1103/physreve.60.7332

Google Scholar

[4] A.L. Barabási and R. Albert: Emergence of Scaling in Random Networks. Science Vol. 286(1999), pp.509-512.

Google Scholar

[5] R´. Albert, I. Albert and G.L. Nakarado: Structural Vulnerability of the North American Power Grid. Physical Review E Vol. 69(2004), pp.1-4.

DOI: 10.1103/physreve.69.025103

Google Scholar

[6] P. Holm, B.J. Kim, C.N. Yoon and S.K. Han: Attack vulnerability of complex networks. Physical Review E Vol. 65(2002), 056109.

Google Scholar

[7] E. Bompard, D. Wu and F. Xue: The Concept of Betweenness in the Analysis of Power Grid Vulnerability. International Conference on Complexity in Engineering (2010), pp.52-54.

DOI: 10.1109/compeng.2010.10

Google Scholar

[8] K. Wang, D.H. Zhang, Z. Zhang, X.G. Yin and B. Wang: An electrical betweenness approach for vulnerability assessment of power grids considering the capacity of generators and load. Physica A Vol. 390 (2011), pp.4692-4701.

DOI: 10.1016/j.physa.2011.07.031

Google Scholar

[9] E. Bompard, D. Wu and F. Xue: Structural vulnerability of power systems: A topological approach. Electric Power Systems Research Vol. 81(2011), pp.1334-1340.

DOI: 10.1016/j.epsr.2011.01.021

Google Scholar

[10] J.W. Wang and L.L. Rong: Cascade-based attack vulnerability on the US power grid. Safety Science Vol. 47(2009), pp.1332-1336.

DOI: 10.1016/j.ssci.2009.02.002

Google Scholar

[11] J.W. Wang and L.L. Rong: Vulnerability of effective attack on edges in scale-free networks due to cascading failures. International Journal of Modern Physics C Vol. 20(2009), pp.1291-1298.

DOI: 10.1142/s0129183109014357

Google Scholar

[12] J.W. Wang and L.L. Rong: Edge-based-attack induced cascading failures on scale-free networks. Physica A Vol. 388(2009), pp.1731-1737.

DOI: 10.1016/j.physa.2009.01.015

Google Scholar

[13] J.W. Wang: Robustness of Heterogenous Networks with Mitigation Strategy Against Cascading Failures. Modern Physics Letters B. Vol. 26(2012), 1250087.

DOI: 10.1142/s021798491250087x

Google Scholar

[14] K. Yu, L.L. Rong and J.W. Wang: A new attack on scale-free networks based on cascading failures. Modern Physics Letters B Vol. 23(2009), pp.2497-2505.

DOI: 10.1142/s0217984909020667

Google Scholar

[15] P. Crucitti, V. Latora and M. Marchiori: A topological analysis of the Italian electric power grid. Physica A Vol. 338(2004), pp.92-97.

DOI: 10.1016/j.physa.2004.02.029

Google Scholar

[16] R. Kinney, P. Crucitti, R. Albert and V. Latora: Modeling Cascading Failures in the North American Power Grid. The European Physical Journal B Vol. 46(2005), pp.101-107.

DOI: 10.1140/epjb/e2005-00237-9

Google Scholar

[17] G. Chen, Z. Y. Dong, D.J. Hill and G.H. Zhang: An improved model for structural vulnerability analysis of power networks. Physica A Vol. 388(2009), pp.4259-4266.

DOI: 10.1016/j.physa.2009.06.041

Google Scholar

[18] W.K. Wang, Q. Cai, Y. Sun and H.B. He: Risk-aware Attacks and Catastrophic Cascading Failures in US Power Grid. Global Telecommunications Conference (2011), pp.1-6.

DOI: 10.1109/glocom.2011.6133788

Google Scholar

[19] V. Latora and M. Marchiori: Efficient Behavior of Small-World Networks, Physical Review Letters Vol. 87(2001), 198701.

Google Scholar