Research on the Model of Long Term Generation Planning in Power Market Reform
- 1 China Electric Power Research Institute, Beijing, China
- 2 China Electric Power Research Institute, Beijing, China
- 3 China Electric Power Research Institute, Beijing, China
- 4 China Electric Power Research Institute, Beijing, China
- 5 State Grid Corporation of China, Beijing, China
Abstract
With the deepening of China’s power market, bilateral transactions will continue to grow in large scale. The release of bilateral transactions locked more regulatory resources of the power grid, will directly affect the operation mode of the unit and the implementation of planned electricity. In the paper, considering the large-scale bilateral trade effect on the peak regulation of power grid, energy saving and emission reduction, power system security and other factors, and then putting forward the method of long term generation planning and annual planning model to adapt to the safe operation of power grid in China. In the model, the target is minimizing the monthly load rate deviation and the annual electric quantity deviation rate, the latter includes the capacity factor. In addition, the constraints include the monthly quantity of electricity, adjustable utilization rate deviation, load rate, reserve and key sections, etc. Through an example to verify the correctness of the model, the planning and power transaction results can satisfy the peak regulation of load, energy saving and emission reduction and safety operation of the power grid requirements.
- (2015)A Number of Opinions on Further Deepening the Reform of Power System. Central Committee and State Coun-cil.
- Leng, Y., Chen, Z., Wang, Q.H., et al. (2015) Analysis of the Impact of Direct Power Purchase by Large Consumers in CSG Area and Relative Suggestions. Southern Power System Technology, 9. (in Chinese).
- Wang, Y.L., Ding, P., Liu, X., et al. (2002) Coordination of the Dispatching Relationship between the Contract Volume and Competitive Bidding Volume in Daily Generation Scheduling. Automation of Electric Power Systems,26, 45-48.(in Chinese)
- Jiang, D.R., Liu, X.J. and Li, Q.Z. (2002) Economically Distributing Strateges for Daily Generation Scheduling in a Power System under power Market Environment. Proceedings of the CSEE, 24, 90-94. (in Chinese)
- Lv, Q., Li, W.D. and Wu, Y.G. (2005) A Novel Mutiperiod Transaction Algorithm for Day-Ahead Electricity Market. Power System Technology, 29, 33-37. (in Chinese)
- Chu, Z. and Yu, J.L. (2006) Model and Method for Daily Dispatch Scheduling in Primary Power Markets. Automation of Electric Power Systems,30, 43-47. (in Chinese)
- Yu, Z., Sparrow, F.T. and Nderitu, D. (1998) Long-term Hydrothermal Scheduling Using Composite Thermal and Composite Hydro Representations. IEEE Proceedings of Generation Transmission Distribution,145,210-216. https://doi.org/10.1049/ip-gtd:19981794
- Ikuo, K., Hiroshi, A., Kenji, O., et al. (2002) Long-term Power Trade Model in Electricity Market Based on Game Theory. Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference, Yokahama, Japan.
- Fu, Y., Shahidehpour, M. and Li, Z.Y. (2005) Long-term Security –Constrainedunit Commitment Hybrid Dantzig-Wolfe Decomposition and Subgradient Approach. IEEE Trans on Power Systems, 20, 2093-2106. https://doi.org/10.1109/TPWRS.2005.857286
- Wang, Y., Yu, J.L. and Liu, Z. (2006) Decomposition of Yearly Bided Volume Based on Roll-Uniformization of Monthly Competitive Bided Spaces. Automation of Electric Power Systems, 30, 24-27. (in Chinese)
- Tang, W., Wang, Y., Yu, F., et al. (2009) An Integrative Cost Weighted Method for Drawing Up Electric Energy Monthly Transaction Schedule of Directly Dispatched Thermal Power Generation Units. Power System Technology, 33, 167-173(in Chinese).