Username   Password       Forgot your password?  Forgot your username? 


Temporal Multiscale Consumption Strategies of Intermittent Energy based on Parallel Computing

Volume 14, Number 5, May 2018, pp. 841-848
DOI: 10.23940/ijpe.18.05.p2.841848

Huifen Chena, Yiming Zhanga, Feng Yaoa, Zhice Yangb,c, Fang Liub,*, Yi Liua, Zhiheng Lia, and Jinggang Wanga

aState Grid Henan Electric Power Company, Zhengzhou, 450052, China
bChinese Academy of Science, Beijing, 100190, China
cUniversity of Chinese Academy of Sciences, Beijing, 100049, China

(Submitted on February 8, 2018; Revised on March 16, 2018; Accepted on April 23, 2018)


Fossil energy is non-renewable energy. The use of fossil energy power generation not only increases the consumption of energy, but also emissions will also bring environmental pollution. The resources of wind, light and other renewable energy are rich in China. The use of new energy power generation is conducive to energy security and sustainable development. Due to the characteristics of regional, intermittent, random and unpredictable of wind and light, large-scale wind power and photovoltaic power in national grid are seriously challenged by the overall dispatch of the power system. Firstly, the paper analyzes and improves the evaluation model of intermittent energy generation capacity by analyzing and processing the real data of a province Power Network. In the model, the photovoltaic unit output constraint and the pumped storage unit constraint of pumping stage and drawing-off stage and the storage capacity of pumped storage power station are added. Secondly, the input data of a province Power Network, which is in accordance with the input condition, is input into the proposed optimization model and the results are credible. In addition, the input data and output results are displayed in visualization formed by graphs, which provides effective guidance to the management of a province Power Network.


References: 23

      1. Y. Cao, C. Liu, Y. H. Huang. “Wind Power Accommodation Capability of Large-scale Interconnected Power Grid Based on Equivalent Aggregation Method,”, High Voltage Engineering, pp 1-5, 2016
      2. E. Ela, M. O. Malley. “Studying the Variability and Uncertainty Impacts of Variable Generation at Multiple Timescales [J],” IEEE Trans. Power System, vol 27, no. 3, pp 1324-1333 2012
      3. H. Gao, X. J. Tong, H. B. Zhang. “Two Stages WCVaR Risk-profit Optimization Model under the Ellipsoidal Discrete Distribution and Application,” OPERATIONS RESEARCH AND MAMAGEMENT SCIENCE.
      4. Y. W. Jeong, J. B. Park, S. H. Jang, et al. “A New Quantum-inspired Binary PSO: Application to Unit Commitment Problems for Power Systems [J],” IEEE Trans. Power System, vol 25, no. 3, pp 1486-1495, 2010
      5. C. Liu, Y. Cao, Y. H. Huang. “An Annual Wind Power Planning Method Based on Time Sequential Simulations,” Automation of Electric Power System, pp 1-6, 2014
      6. C. Lowery, M. O. Malley. “Impact of Wind Forecast Error Statistics Upon Unit Commitment[J],” IEEE Trans. Sustainable Energy, vol 3, no. 4, pp 760-768, 2012
      7. C. Liu, H. Wu, C. Z. Gao. “Study on Analysis Method of Accommodated Capacity for Wind Power,” Power System Protection and Control, pp 1-4, 2014
      8. D. W. Liu, Y. H. Huang, W. S. Wang, J. B. Guo. “Analysis on Provincial System Available Capability of Accommodating Wind Power Considering Peak Load Dispatch and Transmission Constraints,” Automation of Electric Power System, vol 35, no. 22, pp 77-81, 2011
      9. D. Li, X. L. Sun and K. Mckinnon. “An Exact Solution Method for Reliability Optimization in Complex Systems,” Annals of Operations Research, pp 129-148, 2005.
      10. Y. V. Makarov, P. V. Etingov, J. Ma, et al. “Incorporating Uncertainty of Wind Power Generation Forecast into Power System Operation, Dispatch, and Unit Commitment Procedures[J],” IEEE Trans. Sustainable Energy, vol 2, no. 4, pp 433-442, 2011
      11. H. W. Ren, C. Y. Han, W. Pei, T. D. Guo. “Research on Distributed Generation Locating Based on Multi-objective Optimization Model,” Power System Protection and Control.
      12. X. L. Sun and D. Li. “Asymptotic Strong Duality for Bounded Integer Programming: A Logarithmic-Exponential Dual Formulation,” Mathematics of Operational Research, 2000(4):625-644.
      13. X. L. Sun and D. Li. “Optimality Condition and Branch and Bound Algorithm for Constrained Redundancy Optimization in Series Systems,” Optimization and Engineering, no. 3, pp 53-65, 2002.
      14. X. L. Sun, X. J. Zheng, and D. Li. “Recent Advances in Mathematical Programming with Semi-continuous Variables and Cardinality Constraint,” Journal of the Operations Research Society of China, no. 3, pp 55-77, 2013
      15. B. C. Ummels, M. Gibescu, E. Pelgrum, et al. “Impacts of Wind Power on Thermal Generation Unit Commitment and Dispatch [J],” IEEE Trans. Energy Conversion, vol 22, no. 1, pp 44-51, 2007
      16. T. Q. Wang, F. Liu. “A Mixed Integer Model for Large-scale New Energy Medium-term Operation Problem,” pp 1-6, 2017
      17. Z. Y. Xu, X. J. Luo, T. Niu. “Thermal Unit Commitment Scheme Considering Electricity Market and Energy-saving Dispatch,” Automation of Electric Power System, vol 33, no. 22, pp 14-17 2009
      18. L. Z. Zhang, N. Zhou, N. Wang. “Economic Comparison for Different Generation Schedulings with Large Scale Wind Power Connected Power System,” Automation of Electric Power System, vol 35, no. 22, pp 105-110, 2011
      19. X. J. Zheng, X. L. Sun, D. Li and X. T. Cui. “Lagrangian Decomposition and Mixed-integer Quadratic Programming Reformulations for Probabilistically Constrained Quadratic Programs,” European Journal of Operational Research, pp 38-48, 2012
      20. Z. Zhao, X. J. Tong and H. Gao. “Economic Dispatch of Wind Integrated Power System with A Conditional Risk Method,”
      21. “GAMS Development Corp[EB/OL],” Available at, Last accessed on February 12, 2017.
      22. “CPLEX. Technical Report. IBM ILOG,” Available at, Last accessed on August 10, 2017.
      23. “SCIP [EB/OL],”, Available at, Last accessed on September 2, 2017.


          Please note : You will need Adobe Acrobat viewer to view the full articles.Get Free Adobe Reader

          Download this file (IJPE-2018-05-02.pdf)IJPE-2018-05-02.pdf[ Temporal Multiscale Consumption Strategies of Intermittent Energy based on Parallel Computing]766 Kb
          This site uses encryption for transmitting your passwords.