Short-Term and Medium-Term Reliability Evaluation for Power Systems With High Penetration of Wind Power

被引:109
|
作者
Ding, Yi [1 ]
Singh, Chanan [2 ]
Goel, Lalit [3 ]
Ostergaard, Jacob [1 ]
Wang, Peng [3 ]
机构
[1] Tech Univ Denmark, Dept Elect Engn, DK-2800 Lyngby, Denmark
[2] Texas A&M Univ, Dept Elect Engn, College Stn, TX 77843 USA
[3] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
关键词
Medium-term; random process; reliability; short-term; universal generating function (UGF); wind power; SPINNING RESERVE; GENERATION; MODEL;
D O I
10.1109/TSTE.2014.2313017
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The expanding share of the fluctuating and less predictable wind power generation can introduce complexities in power system reliability evaluation and management. This entails a need for the system operator to assess the system status more accurately for securing real-time balancing. The existing reliability evaluation techniques for power systems are well developed. These techniques are more focused on steady-state (time-independent) reliability evaluation and have been successfully applied in power system planning and expansion. In the operational phase, however, they may be too rough an approximation of the time-varying behavior of power systems with high penetration of wind power. This paper proposes a time-varying reliability assessment technique. Time-varying reliability models for wind farms, conventional generating units, and rapid start-up generating units are developed and represented as the corresponding universal generating functions (UGFs), respectively. A multistate model for a hybrid generation and reserve provider is also proposed based on the developed UGF representations of wind farms, conventional generating units, and rapid start-up generating units. The proposed technique provides a useful tool for the system operator to evaluate the reliability and arrange reserve for maintaining secure system operation in the short-as well as medium-terms.
引用
收藏
页码:896 / 906
页数:11
相关论文
共 50 条
  • [21] Decomposition-Based Short-Term Wind Power Forecasting for Isolated Power Systems
    Aitken, William
    Negnevitsky, Michael
    Semshchikov, Evgenii
    [J]. 2020 AUSTRALASIAN UNIVERSITIES POWER ENGINEERING CONFERENCE (AUPEC), 2020,
  • [22] Education for outpatients with rheumatic diseases - Evaluation of short-term and medium-term results
    GiraudetLeQuintrec, JS
    Kerboull, L
    NguyenVaillant, MF
    Berton, S
    Revel, M
    Kahan, A
    Kerboull, M
    Menkes, CJ
    [J]. REVUE DU RHUMATISME, 1996, 63 (7-8): : 469 - 474
  • [23] Short-term frequency response of power systems with high non-synchronous penetration levels
    Ruttledge, Lisa
    Flynn, Damian
    [J]. WILEY INTERDISCIPLINARY REVIEWS-ENERGY AND ENVIRONMENT, 2015, 4 (05) : 452 - 470
  • [24] Standardizing the Performance Evaluation of Short-Term Wind Power Prediction Models
    Madsen, Henrik
    Pinson, Pierre
    Kariniotakis, George
    Nielsen, Henrik
    Nielsen, Torben
    [J]. WIND ENGINEERING, 2005, 29 (06) : 475 - 489
  • [25] A review on short-term and ultra-short-term wind power prediction
    Xue, Yusheng
    Yu, Chen
    Zhao, Junhua
    Li, Kang
    Liu, Xueqin
    Wu, Qiuwei
    Yang, Guangya
    [J]. Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2015, 39 (06): : 141 - 151
  • [26] Short-Term Prediction of Wind Power Based on Deep Long Short-Term Memory
    Qu Xiaoyun
    Kang Xiaoning
    Zhang Chao
    Jiang Shuai
    Ma Xiuda
    [J]. 2016 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2016, : 1148 - 1152
  • [27] Short-term wind power prediction based on combined long short-term memory
    Zhao, Yuyang
    Li, Lincong
    Guo, Yingjun
    Shi, Boming
    Sun, Hexu
    [J]. IET GENERATION TRANSMISSION & DISTRIBUTION, 2024, 18 (05) : 931 - 940
  • [28] Short-term Prediction Models for Wind Speed and Wind Power
    Bai, Guangxing
    Ding, Yanwu
    Yildirim, Mehmet Bayram
    Ding, Yan-Hong
    [J]. 2014 2ND INTERNATIONAL CONFERENCE ON SYSTEMS AND INFORMATICS (ICSAI), 2014, : 180 - 185
  • [29] Accurate medium-term wind power forecasting in a censored classification framework
    Croonenbroeck, Carsten
    Dahl, Christian Moller
    [J]. ENERGY, 2014, 73 : 221 - 232
  • [30] Short-Term Wind Power Predictions for the Romanian Electric Power System
    Razusi, Petre-Cristian
    Eremia, Mircea
    [J]. 2011 7TH INTERNATIONAL SYMPOSIUM ON ADVANCED TOPICS IN ELECTRICAL ENGINEERING (ATEE), 2011,