An Impact Increments-Based State Enumeration Reliability Assessment Approach and Its Application in Transmission Systems

被引:0
|
作者
Hou, Kai [1 ]
Jia, Hongjie [1 ]
Yu, Xiaodan [1 ]
Zhu, Lewei [1 ]
Xu, Xiandong [2 ]
Li, Xue [3 ]
机构
[1] Tianjin Univ, Minist Educ, Key Lab Smart Grid, Tianjin, Peoples R China
[2] Queens Univ Belfast, Belfast, Antrim, North Ireland
[3] Northeast Dianli Univ, Jilin, Jilin, Peoples R China
基金
美国国家科学基金会;
关键词
State enumeration; impact increments; high order contingency; transmission planning; MONTE-CARLO; INDEXES;
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
This paper proposes an impact increments-based state enumeration (ISE) reliability assessment approach, specially designed for transmission systems. Firstly, the reliability index calculation formula of the traditional state enumeration technique is transformed into an impact increments-based formation. With the derived formula, the calculation of state probability is simplified and the weight of low order contingency states is increased. Moreover, it is proved in this paper that impact increments of mutually independent high order contingency states, whose outage components are with remote distances, can be eliminated. Due to this fact, the calculation of impacts of most high order contingencies can be reduced without decreasing the precision of reliability indices. When applied to electrical power transmission systems, load variations can also be considered by replacing impact increments by their expectations under various load levels. Thus, annual reliability indices can be obtained by the proposed method. Case studies are performed on the IEEE-118 bus system and a 1354-bus portion of European transmission system from PEGASE project. Results indicate that annual reliability indices can be efficiently obtained with USE method. Comparing with the traditional state enumeration and Monte Carlo simulation methods, the proposed method is more precise and efficient in various kinds of transmission systems.
引用
收藏
页数:5
相关论文
共 50 条
  • [11] A Lagrange Multiplier Based State Enumeration Reliability Assessment for Power Systems With Multiple Types of Loads and Renewable Generations
    Liu, Zeyu
    Hou, Kai
    Jia, Hongjie
    Zhao, Junbo
    Wang, Dan
    Mu, Yunfei
    Zhu, Lewei
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2021, 36 (04) : 3260 - 3270
  • [12] A reliability based approach to transmission maintenance planning and its application in BC hydro system
    Li, W
    Korczynski, J
    2001 POWER ENGINEERING SOCIETY SUMMER MEETING, VOLS 1-3, CONFERENCE PROCEEDINGS, 2001, : 510 - 515
  • [13] Assessment method for systems' state and its application
    Department of Information Security, Naval University of Engineering, Wuhan 430033, China
    Wuhan Ligong Daxue Xuebao, 2006, 5 (108-112):
  • [14] A reliability-based approach to transmission maintenance planning and its application in BC hydro system
    Li, WY
    Korczynski, J
    IEEE TRANSACTIONS ON POWER DELIVERY, 2004, 19 (01) : 303 - 308
  • [15] Intuitionistic fuzzy approach to reliability assessment of multi-state systems
    Chachra, Aayushi
    Kumar, Akshay
    Ram, Mangey
    MATHEMATICS AND COMPUTERS IN SIMULATION, 2023, 212 : 489 - 503
  • [16] Composite Generation and Transmission System Reliability Assessment Using Impact Increment-based State Fnumeration Method
    Hou, Kai
    Jia, Hongjie
    Yu, Xiaodan
    Li, Yawen
    Xie, Chang
    Yan, Jianfeng
    2016 INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS (PMAPS), 2016,
  • [17] A Bayesian approach to reliability prediction and assessment of component based systems
    Singh, H
    Cortellessa, V
    Cukic, B
    Gunel, E
    Bharadwaj, V
    12TH INTERNATIONAL SYMPOSIUM ON SOFTWARE RELIABILITY ENGINEERING, PROCEEDINGS, 2001, : 12 - 21
  • [18] Architecture-based approach to reliability assessment of software systems
    Goseva-Popstojanova, K
    Trivedi, KS
    PERFORMANCE EVALUATION, 2001, 45 (2-3) : 179 - 204
  • [19] State of Art, Reliability Assessment in the Transmission System based on Monte Carlo Method
    Haro, R.
    Inga, E.
    IEEE LATIN AMERICA TRANSACTIONS, 2016, 14 (01) : 398 - 403
  • [20] Wind speed model based on kernel density estimation and its application in reliability assessment of generating systems
    Hu, Bo
    Li, Yudun
    Yang, Hejun
    Wang, He
    JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2017, 5 (02) : 220 - 227