Quantifying the seismic risk for electric power distribution systems

被引:18
|
作者
Liu, Yang [1 ]
Wotherspoon, Liam [2 ]
Nair, Nirmal-Kumar C. [1 ]
Blake, Daniel [3 ]
机构
[1] Univ Auckland, Dept Elect Comp & Software Engn, Auckland 1142, New Zealand
[2] Univ Auckland, Dept Civil & Environm Engn, Auckland, New Zealand
[3] Univ Canterbury, Dept Geol Sci, Christchurch, New Zealand
关键词
Distribution network power flow model; electrical power distribution systems; lifelines; probabilistic assessment; risk; seismic fragility; PERFORMANCE ASSESSMENT; EARTHQUAKE; IMPACT; VULNERABILITY; CHRISTCHURCH; RELIABILITY;
D O I
10.1080/15732479.2020.1734030
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Electric power distribution systems are generally more prone to disruption from natural hazards than transmission systems due to their often less redundant circuit structures. However, seismic risk analysis for distribution systems is rare compared to the rich body of literature focussing on transmission systems. This paper proposes a seismic risk assessment framework for electric power distribution systems considering both the network topology and the functional vulnerability of distribution substations. Implicit Z-bus method is applied to solve distribution system power flow and evaluate system serviceability. Monte Carlo simulation is applied to obtain probabilities of the scale of unserved loads resulting from disconnection and abnormal voltage condition. The seismic risk is jointly quantified using multiple risk metrics, and importance measures are used to determine criticality of substation components for prioritisation of seismic retrofit. The seismic risk assessment framework is applied to the CIGRE medium voltage distribution test network and two ground motion intensity scenarios - one for peak ground acceleration values based on a scenario earthquake and the other for uniformly distributed peak ground acceleration across the network. The framework allows the quantification of different network topologies and substation configurations. This enables network owners and operators to evaluate the seismic vulnerability of their substation configuration and network topology, identify potential bottlenecks of the systems and thus inform effective planning and risk-reduction investments.
引用
收藏
页码:217 / 232
页数:16
相关论文
共 50 条
  • [1] Seismic risk analysis of electric power transmission systems
    Pitilakis, K. D.
    Xenos, T. D.
    Kakderi, K. G.
    Alexoudi, M. N.
    Theofilogiannakos, G. K.
    [J]. APPLICATIONS OF STATISICS AND PROBABILITY IN CIVIL ENGINEERING, 2007, : 583 - 584
  • [2] QUANTIFYING RESOLVING POWER OF SEISMIC SYSTEMS
    WIDESS, MB
    [J]. GEOPHYSICS, 1982, 47 (08) : 1160 - 1173
  • [3] Enhancing Seismic Resilience of Electric Power Distribution Systems with Mobile Power Sources
    Yang, Zijiang
    Dehghanian, Payman
    Nazemi, Mostafa
    [J]. 2019 IEEE INDUSTRY APPLICATIONS SOCIETY ANNUAL MEETING, 2019,
  • [4] A Probabilistic Framework for Seismic Risk Assessment of Electric Power Systems
    Salman, Abdullahi M.
    Li, Yue
    [J]. X INTERNATIONAL CONFERENCE ON STRUCTURAL DYNAMICS (EURODYN 2017), 2017, 199 : 1187 - 1192
  • [5] QUANTIFYING RESOLVING POWER OF SEISMIC SYSTEMS - ADDENDUM
    WIDESS, MB
    [J]. GEOPHYSICS, 1983, 48 (12) : 1687 - 1690
  • [6] Seismic-Resilient Electric Power Distribution Systems: Harnessing the Mobility of Power Sources
    Yang, Zijiang
    Dehghanian, Payman
    Nazemi, Mostafa
    [J]. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2020, 56 (03) : 2304 - 2313
  • [7] Seismic Retrofit for Electric Power Systems
    Romero, Natalia
    Nozick, Linda K.
    Dobson, Ian
    Xu, Ningxiong
    Jones, Dean A.
    [J]. EARTHQUAKE SPECTRA, 2015, 31 (02) : 1157 - 1176
  • [8] Catastrophe Risk Management for Electric Power Distribution Systems: An Insurance Approach
    Sun, Siyuan
    Li, Gengfeng
    Bian, Yiheng
    Bie, Zhaohong
    Hu, Qianwen
    [J]. CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, 2023, 9 (01): : 393 - 410
  • [9] Market Power in Electric Power Distribution Systems
    Roveto, Matt
    Dvorkin, Yury
    [J]. 2019 51ST NORTH AMERICAN POWER SYMPOSIUM (NAPS), 2019,
  • [10] Seismic reliability analysis of large electric power systems
    He Jun
    Li Jie
    [J]. Earthquake Engineering and Engineering Vibration, 2004, 3 (1) : 51 - 55