Decision Making in Emergency Operation for Power Transformers With Regard to Risks and Interruptible Load Contracts

被引:15
|
作者
Sousa, Jessica C. S. [1 ]
Saavedra, Osvaldo R. [1 ]
Lima, Shigeaki L. [1 ]
机构
[1] Univ Fed Maranhao, Inst Elect Energy, BR-65080805 Sao Luis, Brazil
关键词
Decision-making; loss-of-life; risk aversion; emergency; interruptible contracts; information theory template; DISSOLVED-GAS ANALYSIS; DEMAND RESPONSE; IN-SERVICE; DIAGNOSIS; NETWORKS; LIFE;
D O I
10.1109/TPWRD.2017.2764466
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper sets out a framework for decision making in emergency operations for power transformers, which rely on interruption contracts as decision variables that take into account the risk of accepting some level of violation of the transformer's operating limits. The risk of failure is calculated by measuring the useful life of the transformer and the presence of dissolved gases. The useful life is estimated by means of the Arrhenius model of thermal damage, while incipient faults can be detected by dissolved gas analysis. The risk of transformer failure is estimated by examining the data cited above, on the basis of information theory concepts. It is formulated as a multiperiod optimization problem with linear objectives and nonlinear constraints and restricted to the risk of accepting transformer overloads. The results are validated by means of an adapted version of the IEEE14 system, which is shown to be effective as a tool for emergency decision making in the case studies included here.
引用
收藏
页码:1556 / 1564
页数:9
相关论文
共 50 条
  • [1] Unit Commitment Considering Interruptible Load for Power System Operation with Wind Power
    Park, Hyeon-Gon
    Lyu, Jae-Kun
    Kang, YongCheol
    Park, Jong-Keun
    ENERGIES, 2014, 7 (07): : 4281 - 4299
  • [2] Simultanous emergency demand response programming and unit commitment programming in comparison with interruptible load contracts
    Sahebi, M. M.
    Duki, E. A.
    Kia, M.
    Soroudi, A.
    Ehsan, M.
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2012, 6 (07) : 605 - 611
  • [3] CVaR-based Decision-Making Model for Interruptible Load Management
    An, Xuena
    Zhang, Shaohua
    Wang, Xian
    2010 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-5, 2010, : 448 - 451
  • [4] An Interruptible Load Risk Decision-Making Model Considering the Advanced Notification Time
    Li, Dezhi
    Yan, Huaguang
    Chen, Songsong
    Lang, Yizihe
    Gao, Ciwei
    2017 4TH INTERNATIONAL CONFERENCE ON SYSTEMS AND INFORMATICS (ICSAI), 2017, : 318 - 323
  • [5] Fuzzy Logic Approach in Power Transformers Management and Decision Making
    Arshad, Muhammad
    Islam, Syed M.
    Khaliq, A.
    IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION, 2014, 21 (05) : 2343 - 2354
  • [6] Research on Economic Operation Optimization of Electric System Including Wind Power Based on Interruptible Load
    Wu, Qianhong
    Su, Yunche
    Wang, Ying
    INDUSTRIAL DESIGN AND MECHANICS POWER II, 2013, 437 : 945 - 949
  • [7] Electromagnetic Processes Simulation of Power Transformers in Operation and in No-load Modes
    Yarymbash, D. S.
    Kotsur, M., I
    Yarymbash, S. T.
    Kylymnyk, I. M.
    PROBLEMELE ENERGETICII REGIONALE, 2020, (01): : 1 - 13
  • [8] Safety assessment methods for decision-making during emergency operation states in the power grid - ETA
    Muzik, Vaclav
    Vostracky, Zdenek
    ENERGY ECOLOGY ECONOMY 2018, 2018, : 154 - 157
  • [9] Cooperative Operational Planning of Interruptible Load Contracts for Enhancing Performance Reliability of Multi-Microgrid Power Distribution Systems
    Farrokhi, Mahdi
    Fotuhi-Firuzabad, Mahmoud
    Safdarian, Amir
    Dehghanian, Payman
    IEEE ACCESS, 2024, 12 : 121610 - 121623
  • [10] Towards Intelligent Decision Making in Power Plant Operation
    Sai, T. K.
    Kumar, P. Suneel
    Reddy, K. A.
    2014 Annual IEEE India Conference (INDICON), 2014,