The Planning and Evaluation Method of Power System Reserve Capacity Considering Risk Assessment

被引:0
|
作者
Sun Jibo [1 ]
Wang Yanwei [1 ]
Yang Yinguo [1 ]
Jiang Jiangfeng [2 ]
Liu Fang [2 ]
Kou Yu [2 ]
Bie Zhaohong [2 ]
机构
[1] Guangdong Power Grid Co Ltd, Elect Power Dispatching Control Ctr, Guangzhou 510600, Guangdong, Peoples R China
[2] Xi An Jiao Tong Univ, State Key Lab Elect Insulat & Power Equipment, Xian 710049, Peoples R China
来源
2016 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION (CICED) | 2016年
关键词
Reserve capacity planning; Risk assessment; Comprehensive evaluation index; Multi-state generators; SPINNING RESERVE; REQUIREMENTS; PENETRATION;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Reliability and economy both have influence on the reserve capacity planning of power system. Based on the quantitative risk assessment, this paper analyzes the comprehensive evaluation index of power system reserve by the use of equivalent energy function, and then proposes a fast computing method of reserve capacity balancing reliability with economy. Furthermore, considering renewable energy integration has great impact on the reserve planning and a multi-state renewable power modeling is employed. Finally, on the basis of a real-life power system, three kinds of models are simulated and compared to verify the rationality and feasibility of the proposed method.
引用
收藏
页数:6
相关论文
共 50 条
  • [21] Risk Assessment Method for Distributed Power Distribution Networks Considering Network Dynamic Reconstruction
    Teng, Tangyong
    Huang, Yu
    Wang, Juan
    Li, Zhukun
    Chen, Yonghua
    ELEKTRONIKA IR ELEKTROTECHNIKA, 2024, 30 (04) : 26 - 34
  • [22] Fast Frequency Response Reserve Planning for Power Systems Considering Homogeneous Extreme Risks
    Li, Zifeng
    Li, Weidong
    Yu, Samson S.
    Guo, Litao
    Zheng, Huicong
    Ma, Jingwei
    Zhao, Lin
    Dou, Wenlei
    Zhang, Na
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2023, 59 (02) : 2314 - 2325
  • [23] Stochastic Models in Risk-based Assessment of Reserve Requirements for a Power System with High Wind Power Generation
    Negnevitsky, Michael
    Dinh Hieu Nguyen
    Piekutowski, Marian
    2016 SECOND INTERNATIONAL SYMPOSIUM ON STOCHASTIC MODELS IN RELIABILITY ENGINEERING, LIFE SCIENCE AND OPERATIONS MANAGEMENT (SMRLO), 2016, : 136 - 143
  • [24] Risk Assessment for Traction Power Supply System Considering the Influence of Multiple Meteorological Factors
    Lin, Sheng
    Sun, Xiaojun
    Yu, Qinyang
    Feng, Ding
    He, Zhengyou
    IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2023, 9 (02) : 2645 - 2658
  • [25] Composite Power System Risk Assessment and Weak Links Identification Considering Cascading Failures
    Tian, Chunzheng
    Zhou, Yulong
    Wang, Yuanyuan
    Wang, Jianxue
    2015 5TH INTERNATIONAL CONFERENCE ON ELECTRIC UTILITY DEREGULATION AND RESTRUCTURING AND POWER TECHNOLOGIES (DRPT 2015), 2015, : 543 - 548
  • [26] Security risk assessment ideas and theoretical framework for power system considering geomagnetic storm
    Liu, Lianguang
    Wu, Weili
    Liu, L. (llguang@cj.net.cn), 1600, Chinese Society for Electrical Engineering (34): : 1583 - 1591
  • [27] Risk assessment of process system considering dependencies
    Guo, Chuanqi
    Khan, Faisal
    Imtiaz, Syed
    JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2018, 55 : 204 - 212
  • [28] Risk assessment of power system operation considering wind-wind combined output
    Zhang, Mingzhao
    Chen, Liwen
    Zhou, Shengchen
    PROCEEDINGS OF 2023 7TH INTERNATIONAL CONFERENCE ON ELECTRONIC INFORMATION TECHNOLOGY AND COMPUTER ENGINEERING, EITCE 2023, 2023, : 245 - 250
  • [29] Cost-based Risk Approach for Spinning Reserve Assessment in Bulk Power Systems
    Rashidi, F.
    Harifi, A.
    INTERNATIONAL JOURNAL OF ENGINEERING, 2022, 35 (11): : 2186 - 2195
  • [30] Power transmission risk assessment considering component condition
    Guo, Lei
    Qiu, Qiwei
    Liu, Jian
    Zhou, Yu
    Jiang, Linglei
    JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2014, 2 (01) : 50 - 58