All Title Author
Keywords Abstract


Cost Control of the Transmission Congestion Management in Electricity Systems Based on Ant Colony Algorithm

DOI: 10.4236/epe.2011.31003, PP. 17-23

Keywords: Electricity Systems, Congestion Management, Ant Colony Algorithm, Minimax, Adjustment Cost

Full-Text   Cite this paper   Add to My Lib

Abstract:

This paper investigates the cost control problem of congestion management model in the real-time power systems. An improved optimal congestion cost model is built by introducing the congestion factor in dealing with the cases: opening the generator side and load side simultaneously. The problem of real-time congestion management is transformed to a nonlinear programming problem. While the transmission congestion is maximum, the adjustment cost is minimum based on the ant colony algorithm, and the global optimal solu-tion is obtained. Simulation results show that the improved optimal model can obviously reduce the adjust-ment cost and the designed algorithm is safe and easy to implement.

References

[1]  Y. S. Wei, X. N. Wang and T. M. Li, “Power Transmission Management Modeling in the Electricity Power Market,” Zhejiang Electric Power, Vol. 26, No. 4, 2005, pp. 14-16.
[2]  R. D. Christle and B. F. Wollenberg, “Wangensteen. Transmission Management in the Deregulated Environment,” IEEE Transactions on Power System, Vol. 15, No. 2, 2000, pp.171-195.
[3]  H. Singh, S. Hao and A. D. Papalexopoulos, “Transmission Congestion Management in Competitive Electricity Markets,” IEEE Transactions on Power Systems, Vol. 13, No. 2, 1998, pp. 672-680.
[4]  Z. Q. Wu, M. M. Zhu and L.Y. Wang, “Online Transmission Congestion Management Model and Algorithm,” Proceedings of the Chinese Society of Universities for Electric Power System and Automation, Vol. 19, No. 6, 2007, pp. 109-113.
[5]  J. S. Hu, L. M. Zhou and S. L. Sui, “Transmission Congestion Management of Electricity Markets and Programs of Matlab,” Journal of Qingdao Technological University, Vol. 28, No. 1, 2007, pp. 91-95.
[6]  W. M. Mao, M. Zhou and G. Y. Li, “Multi-Period Power Transmission Congestion Management Considering Interruptible Loads,” Power System Technology, Vol. 32, No. 4, 2008, pp. 72-77.
[7]  Y. P. Zhang, L. W. Jiao and S. S. Chen, “A Survey of Transmission Congestion Management in Electricity Mar- kets,” Power System Technology, Vol. 27, No. 8, 2003, pp. 1-9.
[8]  G. B. Shrestha and P. A. J. Fonseka, “Congestion-Driven Transmission Espansion in Competitive Power Markets,” IEEE Transaction on Power System, Vol. 19, No. 3, 2004, pp. 1658-1665. doi:10.1109/TPWRS.2004.831701
[9]  R. Mendez and H. Rudnick, “Congestion Management and Transmission Rights in Centralized Electric Markets,” IEEE Transaction on Power System, Vol. 19, No. 2, 2004, pp. 889-896. doi:10.1109/TPWRS.2003.821617
[10]  M. M. Zhu, Z. Q. Wu and S. S. Ye, et al, “Transmission Congestion Management Model and Algorithm Based on Generating Unit Power up and down,” Modern Electric Power, Vol. 24, No. 1, 2007, pp. 68-71.
[11]  Z. L. Yi, “The Optimize Model on Management of Trans- mit Electricity Block in the Electric Power Market,” Journal of Hengyang Normal University, Vol. 27, No. 3, 2006, pp. 22-25.
[12]  J. Lei, Y. Deng and R. Zhang, “Congestion Management for Generation Scheduling in a Deregulated Chinese Po- wer System,” IEEE of Power Engineering Society Winter Meeting, 2001, pp. 1262-1265.
[13]  X. L. Wang, Z. Gan and B. Lei, “Sensitivity Analysis Approach to Transmission Congestion Management,” Automation of Electric Power Systems, Vol. 26, No. 4, 2002, pp. 10-13.
[14]  A. Kumar, S. C. Sristava and S. N. Singh, “A Zonal Congestion Management Approach Using AC Transmission Congestion Distribute Factor,” Electric Power Systems Research, Vol. 72, No. 1, 2004, pp. 85-93. doi:10.1016/ j.epsr.2004. 03.011
[15]  Z. X. Han and Y. J. Cao, “Transmission Congestion Management Model and Algorithm Based on Generating Unit Power up and down,” Power System Technology, Vol. 28, No. 9, 2004, pp. 1-6.

Full-Text

comments powered by Disqus