Distribution Network Reconfiguration Optimization Method for Reducing the Voltage Sag Impact on Important Loads

Hui Lan Jiang; Ya Wei Wang; Jing Peng Wang; Zhang Zhang

doi:10.4028/www.scientific.net/AMM.492.478

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 492Distribution Network Reconfiguration Optimization...

Distribution Network Reconfiguration Optimization Method for Reducing the Voltage Sag Impact on Important Loads

Abstract:

This paper puts forward a distribution network reconfiguration method which takes into account voltage sag, and this method takes advantage of genetic algorithm in handling optimization problems and can optimize a superior distribution operation mode which makes the important load sag in the lowest degree besides satisfies the distribution network constraint. IEEE 16 nodes system is cited as an example. The simulation result shows that the distribution network operation mode got by the proposed method ensures the distribution network loss within reasonable limits as well as minimizes voltage sag in the important load node. This approach presented is of both efficient and practical.

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Periodical:

Applied Mechanics and Materials (Volume 492)

Pages:

478-481

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.492.478

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Online since:

January 2014

Authors:

Hui Lan Jiang, Ya Wei Wang, Jing Peng Wang, Zhang Zhang

Keywords:

Distribution Network, Genetic Algorithm (GA), Network Reconfiguration, Voltage Sag

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References

[1] N. Khelef, A. Mohamed and H. Shareef: 2010 IEEE International Conference on Power and Energy, Malaysia, 2010, p.264.

Google Scholar

[2] N. Salman, A. Mohamed and H. Shareef: The 5th International Power Engineering and Optimization Conference, Malaysia, 2011, p.329.

Google Scholar

[3] Z.J. Ding, Y.Q. Zhu and C.H. Chen: 2010 China International Conference on Electricity Distribution, Beijing, 2010, p.1 (In Chinese).

Google Scholar

[4] J.K. Ge, Y.H. Qiu, C.M. Wu and G.L. Pu: Application Research of Computers, Vol. 25 (2008), p.2911 (In Chinese).

Google Scholar

[5] J.J. Yang and H. Zhan: Power System Protection and Control, Vol. 38 (2010), p.122 (In Chinese).

Google Scholar

[6] X.F. Ma and L.Z. Zhang: Transactions of China Electrotechnical Society, Vol. 19 (2004), p.65 (In Chinese).

Google Scholar

[7] Z.F. Liu, S.Y. Ge and Y.X. Yu: Proceedings of the CSEE, Vol. 25 (2005), p.73 (In Chinese).

Google Scholar

[8] S. Civanlar, J.J. Grainger and H. Yin: IEEE Trans. on Power Delivery, Vol. 3 (1988), p.1217.

Google Scholar