Sketch of Renewable Energy Production Simulation Platform

Abstract

Renewable Energy Production Simulation Platform (REPS) is developed by China Electric Power Research Institute (CEPRI) to simulate the operation of renewable energy in the power system. REPS takes into account the characteristics of China’s electric power system, it can assess the accommodation of renewable energy power and simulate the impact of different renewable energy capacity on the operation of power system. Assessment model and calculation process of REPS V1.3 is introduced in this article, and annual consumptive capacity in one provincial power grid of China is evaluated with the platform. REPS is of great guiding significance to electrical source planning. With the sustained and rapid growth of renewable energy in China, power system will be more and more dependent on REPS.

Share and Cite:

Wang, J. , Gao, Y. , Huang, Y. , Wang, Y. and Zhang, J. (2015) Sketch of Renewable Energy Production Simulation Platform. World Journal of Engineering and Technology, 3, 65-71. doi: 10.4236/wjet.2015.33C010.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] Chen, C.L. (2008) Optimal Wind-Thermal Generating Unit Commitment. IEEE Transactions on Energy Conversion, 23, 273-280. http://dx.doi.org/10.1109/TEC.2007.914188
[2] Marwali, M.K.C. and Shahidehpour, S.M. (2000) Coordination between Long-Term and Short-Term Generation Scheduling with Network Constraints. IEEE Transactions on Power Systems, 15, 1161-1167. http://dx.doi.org/10.1109/59.871749
[3] Handke, J., Handschin, E., Linke, K. and Sanders, H.-H. (1995) Coordination of Long- and Short-Term Generation Planning in Thermal Power Systems. IEEE Transactions on Power Systems, 10, 803-809. http://dx.doi.org/10.1109/59.387920
[4] Chen, C.L. (2007) Simulated Annealing-Based Optimal Wind-Thermal Coordination Scheduling. IET Generation, Transmission & Distribution, 1, 447-455. http://dx.doi.org/10.1049/iet-gtd:20060208
[5] Handschin, E. and Slomski, H. (1990) Unit Commitment in Thermal Power Systems with Long-Term Energy Constraints. IEEE Transactions on Power Systems, 5, 1470-1477. http://dx.doi.org/10.1109/59.99401
[6] Grothe, O. and Schnieders, J. (2011) Spatial Dependence in Wind and Optimal Wind Power Allocation: A Copula-Based Analysis. Energy Policy, 39, 4742-4754. http://dx.doi.org/10.1016/j.enpol.2011.06.052
[7] Decarolis, J.F. and Keith, D.W. (2007) The Economics of Large-Scale Wind Power in a Carbon Constrained World. Energy Policy, 35, 3999-4008.
[8] Liang, R.H. and Liao, J.H. (2007) A Fuzzy-Optimization Approach for Generation Scheduling with Wind and Solar Energy Systems. IEEE Transactions on Power Systems, 22, 1665-1674. http://dx.doi.org/10.1109/TPWRS.2007.907527
[9] Lee, T.Y. (2007) Optimal Spinning Reserve for a Wind-Thermal Power System Using EIPSO. IEEE Transactions on Power Systems, 22, 1612-1621. http://dx.doi.org/10.1109/TPWRS.2007.907519

Copyright © 2023 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.