Operational Risk Assessment and Control: a probabilistic approach

被引:0
|
作者
Ciapessoni, E. [1 ]
Cirio, D. [1 ]
Grillo, S. [2 ]
Massucco, S. [2 ]
Pitto, A. [2 ]
Silvestro, F. [2 ]
机构
[1] ERSE SpA, Milan, Italy
[2] Univ Genoa, Elect Engn Dept, Genoa, Italy
关键词
Probabilistic Analysis; Operation; Risk; Power; System Security;
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
Probabilistic Risk Assessment (PRA) techniques are raising more and more interest in the context of the operation of high voltage transmission networks because they represent a new approach to the security assessment in power system operation. The classical deterministic methods, which compare the power system performance to a predefined set of requirements (e.g. no current and voltage violations, no stability problems), do not take into account the probability of occurrence and the magnitude of events and do not perform a quantitative characterization of the impact of the contingencies. The fulfillment of the security requirements also for the most critical contingencies determines large security margins, thus higher operational and planning costs. On the other hand the risk of other contingencies may be underestimated. The paper starts by illustrating a methodology to assess the risk of loss of load caused by conventional (N-1) or multiple dependent contingencies resulting into a cascading process. A control strategy is then introduced, aimed to reduce operational risk by optimal preventive redispatching of conventional generators. Simulation results of the application of the approach to an IEEE test system and to a model of the Italian EHV transmission grid are illustrated and discussed.
引用
收藏
页数:8
相关论文
共 50 条
  • [41] A Stochastic Control Approach to Manage Operational Risk in Power Systems
    Perninge, Magnus
    Soder, Lennart
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2012, 27 (02) : 1021 - 1031
  • [42] OPERATIONAL RISK ASSESSMENT OF WIND TURBINE STRUCTURES USING PROBABILISTIC ANALYSIS OF AERODYNAMICALLY INDUCED VIBRATIONS
    Velazquez, Antonio
    Swartz, R. Andrew
    PROCEEDINGS OF THE ASME CONFERENCE ON SMART MATERIALS, ADAPTIVE STRUCTURES AND INTELLIGENT SYSTEMS (SMASIS 2011), VOL 2, 2011, : 503 - 512
  • [43] Operational risk: impact assessment of the revised standardized approach on Indian banks
    Sinha, Pankaj
    Sharma, Sakshi
    JOURNAL OF OPERATIONAL RISK, 2016, 11 (02): : 19 - 30
  • [44] Operational Risk Assessment: The Commercial Imperative of a more Forensic and Transparent Approach
    Esther, Huang Chuxin
    ANNALS OF ACTUARIAL SCIENCE, 2009, 4 (01) : 163 - 165
  • [45] Dietary exposure assessment to perchlorate in the Taiwanese population: A risk assessment based on the probabilistic approach
    Chang, Wei-Hsiang
    Chen, Hsiu-Ling
    Lee, Ching-Chang
    ENVIRONMENTAL POLLUTION, 2020, 267
  • [46] Exploring Antarctic subglacial lakes with scientific probes: a formal probabilistic approach for operational risk management
    Brito, M. P.
    Griffiths, G.
    Mowlem, M.
    JOURNAL OF GLACIOLOGY, 2012, 58 (212) : 1085 - 1097
  • [47] A New Approach for Probabilistic Risk Assessment of Ship Collision with Riverside Bridges
    Zhang, Wei
    Liu, Shuoyu
    Luo, Wenwen
    Wang, Liping
    Geng, Bo
    Zheng, Zhenxing
    ADVANCES IN CIVIL ENGINEERING, 2020, 2020
  • [48] Risk assessment of white phosphorus in military training areas, a probabilistic approach
    Voie, Oyvind Albert
    Longva, Kjetil S.
    Stromseng, Arnljot E.
    Johnsen, Arnt
    TOXICOLOGY LETTERS, 2006, 164 : S139 - S140
  • [49] Probabilistic approach for the risk assessment of nanomaterials: A case study for graphene nanoplatelets
    Spinazze, Andrea
    Cattaneo, Andrea
    Borghi, Francesca
    Del Buono, Luca
    Campagnolo, Davide
    Rovelli, Sabrina
    Cavallo, Domenico M.
    INTERNATIONAL JOURNAL OF HYGIENE AND ENVIRONMENTAL HEALTH, 2019, 222 (01) : 76 - 83
  • [50] A new approach to probabilistic earthquake-induced tsunami risk assessment
    Jaimes, Miguel A.
    Reinoso, Eduardo
    Ordaz, Mario
    Huerta, Benjamin
    Silva, Rodolfo
    Mendoza, Edgar
    Rodriguez, Juan C.
    OCEAN & COASTAL MANAGEMENT, 2016, 119 : 68 - 75