Transient stability-oriented assessment and application of preventive control action for power system

被引:6
作者
Soni, Bhanu P. [1 ,2 ]
Saxena, Akash [3 ]
Gupta, Vikas [1 ]
Surana, Simrath L. [3 ]
机构
[1] Malaviya Natl Inst Technol, Dept Elect Engn, Jaipur, Rajasthan, India
[2] Univ Engn & Management, Dept Elect Engn, Jaipur, Rajasthan, India
[3] Swami Keshvanand Inst Technol, Dept Elect Engn, Jaipur, Rajasthan, India
来源
JOURNAL OF ENGINEERING-JOE | 2019年 / 18期
关键词
power system measurement; support vector machines; electric generators; power system simulation; power system security; least squares approximations; power system transient stability; power system control; learning (artificial intelligence); rotors; transient stability-oriented assessment; preventive control action; deregulated power system; modern power system; increasing penetration; renewable resources; system capacity; deregulated scenario; system reliability; security; system operator; severe contingencies; system operating constraints; real-time transient stability assessment; phasor measurement units; square support vector machine; system stability state; coherency-based selection method; generation rescheduling; preventive operation; insecure operating contingency; rotor angle trajectories-based transient severity index; critical generators; noncritical generators; system transient stability; power network; supervised learning approach preventive control; 39-bus system; complex power system models;
D O I
10.1049/joe.2018.9353
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The modern power system is becoming more complex and dynamic because of increasing penetration of renewable energy resources, operating closer to system capacity for economic benefits. In order to maintain the system stability, the system operator is required to initiate appropriate preventive control action under severe contingencies while satisfying the system operating constraints. Real time transient stability assessment (TSA) of power system is proposed in this paper by using wide area measurement system (WAMS) and phasor measurement units (PMUs). An architecture based on least square support vector machine (LS-SVM) has been developed to identify the system stability state in real time. Also, this paper proposes a coherency based selection method to identify the appropriate members for generation rescheduling as preventive operation in insecure operating contingency. Rotor angle trajectories based transient stability index (TSI) is employed to classify the generators as either critical or non-critical generators in a power network. Accordingly preventive control action in the form of generation rescheduling can be initiated to achieve stability. The method has been demonstrated on the IEEE 10-machines, 39-bus system. The proposed methodology is effective and capable of handling complex power system models with multiple contingencies.
引用
收藏
页码:5345 / 5350
页数:6
相关论文
共 50 条
[31]   Transient Stability Assessment of a Power System Using Multi-layer SVM Method [J].
Wang, Qilin ;
Pang, Chengzong ;
Alnami, Hashim .
2021 IEEE TEXAS POWER AND ENERGY CONFERENCE (TPEC), 2021, :403-407
[32]   An adaptive assessment method of power system transient stability considering PMU data loss [J].
Ma, Binyu ;
Yang, Jun ;
Peng, Xiaotao ;
Jiang, Kezheng ;
Liu, Dan ;
Cao, Kan .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2024, 18 (24) :4116-4133
[33]   Two-stage Transient-Stability-Constrained Optimal Power Flow for Preventive Control of Rotor Angle Stability and Voltage Sags [J].
Sevilla-Romero, Jorge Uriel ;
Pizano-Martinez, Alejandro ;
Fuerte-Esquivel, Claudio Ruben ;
Ramirez-Betancour, Reymundo .
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2024, 12 (05) :1357-1369
[34]   Transient stability assessment of large lossy power systems [J].
Sarailoo, Morteza ;
Wu, N. Eva ;
Bay, John S. .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2018, 12 (08) :1822-1830
[35]   Enabling 100 % Renewable Power Systems Through Power Electronic Grid-Forming Converter and Control: System Integration for Security, Stability, and Application to Europe [J].
Strunz, Kai ;
Almunem, Khaled ;
Wulkow, Christoph ;
Kuschke, Maren ;
Valescudero, Marta ;
Guillaud, Xavier .
PROCEEDINGS OF THE IEEE, 2023, 111 (07) :891-915
[36]   Enhanced sensitivity-based decentralised framework for real-time transient stability assessment in bulk power grids with renewable energy resources [J].
Jahromi, Mehdi Zareian ;
Tajdinian, Mohsen ;
Zhao, Junbo ;
Dehghanian, Payman ;
Allahbakhshi, Mehdi ;
Seifi, Ali Reza .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2020, 14 (04) :665-674
[37]   The Application of Regional Stability Control in Steel Enterprise Power Supply System [J].
Xiao Shiwu ;
Ma Guanglei ;
Lei Ruifeng ;
Wu Jingtao .
2009 INTERNATIONAL CONFERENCE ON SUSTAINABLE POWER GENERATION AND SUPPLY, VOLS 1-4, 2009, :2543-+
[38]   Power system transient stability margin estimation using neural networks [J].
Karami, A. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2011, 33 (04) :983-991
[39]   Neural network predictive control of UPFC for improving transient stability performance of power system [J].
Tiwari, Sheela ;
Naresh, Ram ;
Jha, R. .
APPLIED SOFT COMPUTING, 2011, 11 (08) :4581-4590
[40]   Adaptive bilinear control of thyristor controlled series capacitor in power system transient stability [J].
Jiya, A. J. D. ;
Agee, J. T. .
PROCEEDINGS OF THE IASTED INTERNATIONAL CONFERENCE ON POWER, ENERGY, AND APPLICATIONS: SCIENCE AND TECHNOLOGY FOR DEVELOPMENT IN THE 21ST CENTURY, 2006, :119-122