Stochastic Assessment of Adequacy and Flexibility of Power Generation Systems

被引:0
|
作者
Ma J. [1 ]
Zhang S. [1 ]
Li X. [1 ]
Zhou B. [1 ,2 ]
机构
[1] Shanghai Key Laboratory of Power Station Automation Technology(Shanghai University), Baoshan District, Shanghai
[2] School of Electric Power Engineering, Shanghai University of Electric Power, Yangpu District, Shanghai
来源
基金
中国国家自然科学基金;
关键词
Generation capacity adequacy; Generation capacity flexibility; Power systems with renewable energy penetration; Probabilistic production simulation; Up/down-ward capacity shortage indexes;
D O I
10.13335/j.1000-3673.pst.2019.1198
中图分类号
学科分类号
摘要
In the power systems with renewable energy penetration, reliability of power systems and their capability of accommodating renewable energy are significantly affected by generation capacity flexibility. However, traditional generation capacity adequacy indexes cannot fully describe generation capacity reliability of these power systems. For this purpose, four indexes are defined to describe the generation capacity adequacy and flexibility, namely the up/downward capacity shortage probabilities, expected up/downward capacity shortages. Then, a stochastic assessment method of the proposed indexes are developed using probabilistic production simulation technology and applied to different time scales of chronological load. In this model, the forced outage and the maximum/minimum outputs of generation units are considered, and the up/downward ramp rates in different generation output ranges are taken into account. Thus the uncertainty of ramp rates caused by load demand and the uncertainty caused by random forced outage can be reflected. Numerical examples are presented to verify effectiveness of the proposed indexes and method. In addition, the quantitative studies on the influence of wind integration scale and time scale on the up/downward generation capacity shortage indexes are presented. © 2019, Power System Technology Press. All right reserved.
引用
收藏
页码:3867 / 3874
页数:7
相关论文
共 22 条
  • [1] Zhang S.H., Li Y.Z., Concise method for evaluating the probability distribution of the marginal cost of power generation, IEE Proceedings-Generation, Transmission and Distribution, 147, 3, pp. 137-142, (2000)
  • [2] REmap 2030-a renewable energy roadmap, (2014)
  • [3] Luo G., Li Y., Tang W., Et al., Wind curtailment of China's wind power operation: evolution, causes and solutions, Renewable and Sustainable Energy Reviews, 53, pp. 1190-1201, (2016)
  • [4] Li H., Zhang N., Kang C., Et al., Analytics of contribution degree for renewable energy accommodation factors, Proceedings of the CSEE, 39, 4, pp. 1009-1018, (2019)
  • [5] Li Z., Chen L., Lu X., Et al., Assessment of renewable energy accommodation based on system flexibility analysis, Power System Technology, 41, 7, pp. 2187-2194, (2017)
  • [6] Ma J.J., Zhang S.H., Li X., Et al., Integrating base-load cycling capacity margin in generation capacity planning of power systems with high share of renewables, Transactions of the Institute of Measurement and Control, (2019)
  • [7] Xiao D., Wang C., Zeng P., Et al., A survey on power system flexibility and its evaluations, Power System Technology, 38, 6, pp. 1569-1576, (2014)
  • [8] Emanuele T., Thomas N., Laura G., Et al., Power system flexibility for the energy transition, (2018)
  • [9] Ma J., Vera S., Regine B., Et al., Evaluating and planning flexibility in sustainable power systems, IEEE Transactions on Sustainable Energy, 4, 1, pp. 200-209, (2013)
  • [10] Anupam A.T., Le X., A metric and market construct of inter-temporal flexibility in time-coupled economic dispatch, IEEE Transactions on Power Systems, 31, 5, pp. 3437-3446, (2016)