Optimal Combined Peak-shaving Scheme Using Energy Storage for Auxiliary Considering Both Technology and Economy

被引:0
|
作者
Li J. [1 ]
Wang S. [1 ]
机构
[1] Key Laboratory of Guangxi Electric Power System Optimization and Energy-saving Technology (Guangxi University), Nanning
来源
Li, Jinghua (happyjinghua@163.com) | 1600年 / Automation of Electric Power Systems Press卷 / 41期
基金
中国国家自然科学基金;
关键词
Combined peak-shaving scheme; Economic index; Energy storage; Renewable energy grid-connection; Technical index;
D O I
10.7500/AEPS20170121003
中图分类号
学科分类号
摘要
The high proportion of renewable energy generation connected with the grid has brought great pressure to the peak-shaving of electric power systems. Using energy storage for auxiliary peak-shaving is an effective way to solve this problem. However, the high cost of energy storage limits its large-scale application. To make full use of the peak-shaving function of the limited energy storage and reduce the load demand for energy storage capacity, this paper proposes a practical method to develop the combination of energy storage and normal, deep, given oil and start-stop regulation ways for peak-shaving. The calculation models of the technical index based on the probability of lack of peak load and the economic index based on the annual cost of peak-shaving are developed. The curved surfaces of technical and economic indices of the combined peak-shaving scheme are built. The combined peak-shaving scheme at the junction of technical and economic curved surfaces is the optimal one under different renewable energy penetration levels. Finally, with the regional grid and the national planning power system with wind and solar power as examples, optimal combined peak-shaving schemes under different renewable energy penetration levels are made. © 2017 Automation of Electric Power Systems Press.
引用
收藏
页码:44 / 50and150
相关论文
共 23 条
  • [1] Lu Z., Li H., Qiao Y., Flexibility evaluation and supply/demand balance principle of power system with high-penetration renewable electricity, Proceedings of the CSEE, 37, 1, pp. 9-19, (2017)
  • [2] Pietra B.D., Sbordone D.A., Analysis of a energy storage system integrated with renewable energy plants and heat pump for residential application, IEEE 15th International Conference on Environment and Electrical Engineering (EEEIC), pp. 410-414
  • [3] Li J., Zuo J., Wang S., Analysis and assessment of operation risk for power system with large-scale wind power integration, Power System Technology, 40, 11, pp. 3503-3513, (2016)
  • [4] Yao L., Yang B., Cui H., Et al., Challenges and progresses of energy storage technology and its application in power systems, Journal of Modern Power Systems and Clean Energy, 4, 4, pp. 519-528, (2016)
  • [5] Han X., Ji T., Zhao Z., Et al., Economic evaluation of batteries planning in energy storage power stations for load shifting, Renewable Energy, 78, pp. 643-647, (2015)
  • [6] Park C., Knazkins V., Sevilla F.R.S., Et al., On the estimation of an optimum size of energy storage system for local load shifting, IEEE Power & Energy Society General Meeting
  • [7] Li F., Wang B., Tu S., Et al., Analysis on peak load regulation performance of Beijing-Tianjin-Tangshan power grid with wind farms connected, Power System Technology, 33, 18, pp. 128-132, (2009)
  • [8] Yi L., Zhu M., Wei L., Et al., A computing method for peak load regulation ability of northwest China power grid connected with large-scale wind farms, Power System Technology, 34, 2, pp. 129-132, (2010)
  • [9] Han H., Tu M., Zhang H., Et al., Day-ahead generation scheduling method considering adjustable HVDC plan and its analysis, Automation of Electric Power Systems, 39, 16, pp. 138-143, (2015)
  • [10] Jing T., Lu Q., Guo L., Et al., An inter-day combined operation strategy of hydro and wind power system for regulating peak load, Automation of Electric Power Systems, 35, 22, pp. 97-104, (2011)