Dynamic Economic Dispatch for Wind Power System Considering System Security and Spinning Reserve

Abstract

In this paper, dynamic economic dispatch model is proposed for power systems with bulk wind power integration. The wind turbine generators are assumed to partially undertake the spinning reserve for the thermal generator. A double-layer optimization model is proposed. The outer layer use the differential evolution to search for the power output of thermal generators, and the inner layer use the primal-dual interior point method to solve the OPF of the established output state. Finally, the impact of spinning reserve with wind power on power system operating is validated.

Share and Cite:

Dong, W. , Zhang, J. , Huang, J. and Li, S. (2015) Dynamic Economic Dispatch for Wind Power System Considering System Security and Spinning Reserve. Journal of Power and Energy Engineering, 3, 342-347. doi: 10.4236/jpee.2015.34046.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] Lei, Y., Wang, W., Hua, Y., et al. (2002) Wind Power Value Analysis on Power System. Power System Technology, 26, 10-14.
[2] Wang, J., Wang, X. and Wu, Y. (2005) Operating Reserve Model in Power Market. IEEE Transactions on Power System, 20, 223-229. http://dx.doi.org/10.1109/TPWRS.2004.841232
[3] Wang, D., Chen, Z., Tu, M., et al. (2012) Reserve Capacity Calculation Considering Large Scale Wind Power. Automation of Electric Power System, 36, 24-28.
[4] Jin, H., Xiong, X. and Wu, Y. (2012) Short-Term Load Forecasting Method Based on Similarity Principle. Automation of Electric Power System, 25, 45-48.
[5] Lee, T. (2007) Optimal Spinning Reserve for Wind Thermal Power System Using EIPSO. IEEE Transactions on Power System, 22, 1612-1621. http://dx.doi.org/10.1109/TPWRS.2007.907519
[6] Hans, B. and Jose, A. (2008) Statistical Analysis of Wind Power Forecast Error. IEEE Transactions on Power System, 23, 983-991. http://dx.doi.org/10.1109/TPWRS.2008.922526
[7] Yao, Y. and Yu, J. (2011) Wind Power System Multi-Objective Hybrid Optimal Scheduling. Automation of Electric Power System, 35, 118-124.
[8] Ortega, M. and Kirscher, D. (2009) Estimating the Spinning Reserve Requirements in Systems with Significant Wind Power Generation Penetration. IEEE Transactions on Power System, 24, 114-124. http://dx.doi.org/10.1109/TPWRS.2008.2004745
[9] Sun, C., Zhou, H. and Zhang, Y. (2012) Dynamic Environment Economic Based on Differential Evolution Algorithm. Computing Science, 11, 208-211.
[10] Basu, M. (2011) Economic Environmental Dispatch Using Multi-Objective Differential Evolution. Applied Soft Computing, 11, 2845-2853. http://dx.doi.org/10.1016/j.asoc.2010.11.014
[11] Basu, M. (2008) Dynamic Economic Emission Dispatch Using Non-Dominated Sorting Genetic Algorithm-II. Electrical Power and Energy Systems, 30, 140-149. http://dx.doi.org/10.1016/j.ijepes.2007.06.009
[12] KNMI Hydra Project (2013) Wind Climate Assessment of the Netherlands. http://dcr.rpi.edu/commdesign/class1.html
[13] Wei, Z., Sun, H., Gu, H., et al. (2012) Wind Power System Dynamic Economic Dispatch Considering Risk Reserve Constraints. Proceedings of the CSEE, 32, 47-55.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.