Intelligent Models of Long-Term Security Correction in Energy Conversion Dispatching ()
Abstract
This paper is research on the dispatching models for monthly
generation plan which is manage the congestion considering the security
constrains of the power grid. Since the monthly generation plan is the result
of vary monthly power exchange, including long-term power contract, power
exchange among provinces and generation constitution exchanges, The application
of monthly security constrained dispatching is with significant meaning for the
security and stability of power grid. This paper brings forward the purpose and
contents of security dispatching and introduces the working procedure and
mathematic models. At last, the practical example of the Hunan Province
power grid is introduced to explain the models.
Share and Cite:
C. Luo, D. Liu, Q. Chen and X. Liu, "Intelligent Models of Long-Term Security Correction in Energy Conversion Dispatching,"
Energy and Power Engineering, Vol. 5 No. 4B, 2013, pp. 621-624. doi:
10.4236/epe.2013.54B1120.
Conflicts of Interest
The authors declare no conflicts of interest.
References
[1]
|
H. Q. Zhang, Y. J. Chang, D. Y. Tang, S. Y. Wang, Q. Chen, Z. G. Li, Y. Q. Wang and J. L. Yu, “A Monthly Electric Energy Plan Making Method of Thermal Power Generation Unit in Energy-saving Generation Dispatching Mode,” Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, Vol. 39, No. 4, 2011, pp. 84-89.
|
[2]
|
L. L. Li, Y. B. Guan, J. Geng, J. G. Yao and G. Wang, “Modeling and Solving for Monthly Security Constrained Unit Commitment Problem,” Dianli Xitong Zidonghua/Automation of Electric Power Systems, Vol. 35, No. 12, 2011, pp. 27-31.
|
[3]
|
E. Ni, P. B. Luh and S. Rourke, “Optimal Integrated Generation Bidding and Scheduling with Risk Management Under a Deregulated Power Market,” IEEE Transactions on Power Systems, Vol. 19, No. 1, 2004, pp. 600-609.
doi:10.1109/TPWRS.2003.818695
|
[4]
|
A. Sankarasubra-manian, U. Lall, N. Devineni and S. Espinueva, “The Role of Monthly Updated Climate Forecasts in Improving Intraseasonal Water Allocation,” Journal of Applied Meteorology and Climatology, Vol. 48, No. 7, 2009, pp. 1464-1482. doi:10.1175/2009JAMC2122.1
|
[5]
|
E. Muneender and D. Kumar, “Optimal Rescheduling of Real and Reactive Powers of Generators for Zonal Congestion Management Based on FDR PSO,” 2009 Transmission & Distribution Conference & Exposition: Asia and Pacific (T&D Asia 2009), 2009, p. 6.
|