Quantifying Power System Resiliency Improvement using Network Reconfiguration

被引:0
|
作者
Dehghanian, Pooria [1 ]
Aslan, Semih [1 ]
Dehghanian, Payman [2 ]
机构
[1] Texas State Univ, Ingram Sch Engn, San Marcos, TX 78666 USA
[2] Texas A&M Univ, Dept Elect & Comp Engn, College Stn, TX USA
关键词
Emergency; network reconfiguration; optimization; resiliency; transmission line switching; IDENTIFICATION; MAINTENANCE;
D O I
暂无
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
Electricity grid complexity with its diverse critical infrastructures has been continuously evolved into a more complicated network that is vulnerable to unpredictable hazards of internal and external origins. Resiliency assessment of the large-scale smart electricity grids has recently attracted many attentions in electric industry for more efficient daily operations in face of emergencies. This paper aims to quantify the power system resiliency in dealing with grid severe vulnerabilities and extreme emergencies. The suggested approach for resiliency improvement is to harness the existing system infrastructure, with minimum additional cost, through transmission network reconfiguration. The applied concept of reconfiguration is predictively planned and used as a temporary operation mechanism for the main sake of electricity outage recovery. The system resiliency features, e.g., flexibility, capacity recovery and the imposed cost indices, are quantified for each optimal reconfiguration option, helping the system operators evaluate the recovery options and decide on the final plan for implementation considering its impacts on system resiliency requirements. The suggested approach is tested on the IEEE 118-Bus test system under a critical contingency and the results reveal its applicability and efficiency.
引用
收藏
页码:1364 / 1367
页数:4
相关论文
共 50 条
  • [31] Power Distribution Network Reconfiguration Considering the Transmission System Usage
    Lima, F. N.
    Santos, M. M.
    Benetti, M. A.
    Milke, T. F.
    Sperandio, M.
    IEEE LATIN AMERICA TRANSACTIONS, 2021, 19 (12) : 2113 - 2121
  • [32] Resiliency assessment of the power system network to cyber and physical. attacks
    Al-Ammar, Essam
    Fisher, Joseph
    2006 POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1-9, 2006, : 2407 - +
  • [33] Performance Analysis and Improvement of a Power System Network Using a Unified Power Flow Controller
    Krishnamurthy, S.
    Djiepkop, G. F. Noudjiep
    PROCEEDINGS OF THE 13TH CONFERENCE ON THE INDUSTRIAL AND COMMERCIAL USE OF ENERGY, 2015, : 306 - 312
  • [34] Optimum network reconfiguration based on maximization of system loadability using continuation power flow theorem
    Aman, M. M.
    Jasmon, G. B.
    Bakar, A. H. A.
    Mokhlis, H.
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2014, 54 : 123 - 133
  • [35] A Comparative Analysis of SPSO and BPSO for Power Loss Minimization in Distribution System Using Network Reconfiguration
    Tandon, Ankush
    Saxena, D.
    2014 INNOVATIVE APPLICATIONS OF COMPUTATIONAL INTELLIGENCE ON POWER, ENERGY AND CONTROLS WITH THEIR IMPACT ON HUMANITY (CIPECH), 2014, : 226 - 232
  • [36] Optimal Power Distribution Network Reconfiguration using Cuckoo Search
    Herazo, Efren
    Quintero, Michell
    Candelo, John
    Soto, Jose
    Guerrero, Javier
    2015 4TH INTERNATIONAL CONFERENCE ON ELECTRIC POWER AND ENERGY CONVERSION SYSTEMS (EPECS), 2015,
  • [37] Quantifying and enabling the resiliency of a microgrid considering electric vehicles using a Bayesian network risk assessment
    Ahmadisourenabadi, Bahador
    Marzband, Mousa
    Hosseini-Hemati, Saman
    Sadati, S. Muhammad Bagher
    Rastgou, Abdollah
    ENERGY, 2024, 308
  • [38] Power flow control and reliability improvement through adaptive PSO based network reconfiguration
    Tantu, Ashenafi Tesfaye
    Biramo, Degu Bibiso
    HELIYON, 2024, 10 (17)
  • [39] Distribution Network Reconfiguration for Power Loss Reduction and Voltage Profile Improvement Using Chaotic Stochastic Fractal Search Algorithm
    Tung Tran The
    Dieu Vo Ngoc
    Nguyen Tran Anh
    COMPLEXITY, 2020, 2020
  • [40] A Virtual Synchrophasor Network for Power System Resiliency Under Concurrent DoS Attacks
    Zhong, Xingsi
    Venayagamoorthy, Ganesh K.
    Brooks, Richard
    2022 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI), 2022, : 1342 - 1349