Analysis of Cooperation between Wind Power and Load Side Resources


Development of the intermittent energy is greatly promoted by change in energy, while consumption of large-scale intermittent energy is becoming a problem. With the development of smart grid technology, controllability of load side resources is becoming more and more important. Based on the wave characteristics of wind power, this paper indicates that wind energy has continuous output characteristics on the hour-time scale. Through analysis on loads characteristic of industry, public facility and resident, this paper gets comprehensive response of load side resources. Considering characteristics of wind power output, combined with different load side resources and DR program, this paper suggests cooperation between wind power and load side resources on different time scales.

Share and Cite:

X. Guo, K. Wang and Y. Li, "Analysis of Cooperation between Wind Power and Load Side Resources," Engineering, Vol. 5 No. 9B, 2013, pp. 51-55. doi: 10.4236/eng.2013.59B009.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] C. Y. Xiao, N. B. Wang, K. Ding, et al., “System Power Regulation Scheme for Jiuquan Wind Power Base,” Proceeding of the CSEE, Vol. 30, No. 10, 2010, pp. 1-7.
[2] C. Y. Xiao, N. B. Wang, J, Zhi and K. Ding, “Power Characteristic of Jiuquan Wind power Base,” Automation of Electric Power System, Vol. 34, No. 17, 2010, pp. 64-67.
[3] N. Zhang, T. R. Zhou, C. G. Duan, et al., “Impact of Large-Scale Wind Farm Connecting with Power Grid on Peak Load Regulation Demand,” Power System Technol- ogy, Vol. 34, No. 1, 2010, pp. 152-158.
[4] Z. H. Chen, Y. H. Chen, Z. Xing, et al., “A Control Strategy of Active Power Intelligent Control System for Large Cluster of Wind Farms Part Two Coordination Control for Shared Transmission of Wind Power and Thermal Power,” Automation of Electric Power System, Vol. 35, No. 21, 2011, pp. 12-15.
[5] T. Han, J. P. Lu, L. Qiao, et al., “Optimized Scheme of Energy-Storage Capacity for Grid-Connected Large-Scale Wind Farm,” Power System Technology, Vol. 34, No. 1, 2010, pp. 169-173.
[6] W. Zhou, Y. Peng, H. Sun and Q. H. Wei, “Dynamic Economic Dispatch in Wind Power Integrated System,” Proceeding of the CSEE, Vol. 29, No. 25, 2009, pp. 13- 18.
[7] X. Ai and X. Liu, “Chance Constrained Model for Wind Power Usage Based on Demand Response,” Journal of North China Electric Power University, Vol. 38, No. 3, 2011, pp. 17-23.
[8] A. Shortt and M. O’Malley, “Quantifying the Long-term Power System Benefits of Electric Vehicles,” IEEE ISGT Conference 2012.
[9] D. Y. Yu, S. G. Song, B. Zhang and X. S. Han, “Synergistic Dispatch of PEVs Charging and Wind Power in Chinese Regional Power Grids,” Automation of Electric Power System, Vol. 35, No. 14, 2011, pp. 24-29.
[10] R. Sioshansi, “Evaluating the Impacts of Real-Time Pricing on the Cost and Value of Wind Generation,” IEEE Transactions on Power Systems, Accepted for Future Publication.
[11] Q. R. Wang, G. H. Xie and L. Z. Zhang, “An Integrated Generation Consumption Dispatch Model with Wind Power,” Automation of Electric Power System, Vol. 35, No. 5, 2011, pp. 15-18.
[12] X. Liu, X. Ai and Q. Peng, “Optimal Dispatch Coordinating Power Generation with Carbon Emission Permit for Wind Farms Integrated Power Grid Considering Demand Response,” Power System Technology, Vol. 36, No. 1, 2012, pp. 213-218.
[13] D. S. Watson, N. Maston and J. Page, “Fast Automated Demand Response to Enable the Integration of Renewable Resources,” Lawrence Berkeley National Laboratory, June 2012.

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.