A Review of Power System Transient Stability Analysis and Assessment

The failure of power system transient stability is one of the main factors causing catastrophic accidents of power systems. Therefore, it is of great significance to evaluate the transient stability of a power system. This paper first introduces the evaluation methods of power system transient stability, including the assessment methods based on time domain simulation, direct method, artificial intelligence-based methods and the probabilistic assessment method. The key challenges in power system transient stability assessment are reviewed and analyzed, including the stability evaluation of power-electronized power system and the main elements of artificial intelligence method used in transient stability assessment. Last, the future research directions and conclusions are discussed.

[1]  Min-xiang Huang,et al.  Multi-Objective Optimal Power Flow Considering Transient Stability Based on Parallel NSGA-II , 2015, IEEE Transactions on Power Systems.

[2]  Peter Xiaoping Liu,et al.  Stochastic Small-Signal Stability Analysis of Grid-Connected Photovoltaic Systems , 2016, IEEE Transactions on Industrial Electronics.

[3]  Mahdi Zarei,et al.  Determining potential stability enhancements of flexible AC transmission system devices using corrected transient energy function , 2016 .

[4]  Pierluigi Mancarella,et al.  Boosting the Power Grid Resilience to Extreme Weather Events Using Defensive Islanding , 2016, IEEE Transactions on Smart Grid.

[5]  Thanh Long Vu,et al.  Lyapunov Functions Family Approach to Transient Stability Assessment , 2014, IEEE Transactions on Power Systems.

[6]  Jianhui Wang,et al.  Smart Transmission Grid: Vision and Framework , 2010, IEEE Transactions on Smart Grid.

[7]  Savu Crivat Savulescu.  Real-time stability in power systems : techniques for early detection of the risk of blackout , 2014 .

[8]  Ken Weng Kow,et al.  A review on performance of artificial intelligence and conventional method in mitigating PV grid-tied related power quality events , 2016 .

[9]  Qing-Chang Zhong,et al.  Power-Electronics-Enabled Autonomous Power Systems: Architecture and Technical Routes , 2017, IEEE Transactions on Industrial Electronics.

[10]  Janath Geeganage,et al.  Application of energy-based power system features for dynamic security assessment , 2015, 2015 IEEE Power & Energy Society General Meeting.

[11]  Rahman Saidur,et al.  Application of Artificial Intelligence Methods for Hybrid Energy System Optimization , 2016 .

[12]  Frede Blaabjerg,et al.  Design for reliability of power electronic systems , 2012, IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society.

[13]  Chen Peng,et al.  Delay-Distribution-Dependent Load Frequency Control of Power Systems With Probabilistic Interval Delays , 2016, IEEE Transactions on Power Systems.

[14]  Leonard L. Grigsby,et al.  Computational Methods for Electric Power Systems , 2012 .

[15]  Kit Po Wong.  Artificial intelligence and neural network applications in power systems , 1993 .

[16]  Bo Wang,et al.  Power System Transient Stability Assessment Based on Big Data and the Core Vector Machine , 2016, IEEE Transactions on Smart Grid.

[17]  Hongyang Huang,et al.  Wide-area measurement system-based transient excitation boosting control to improve power system transient stability , 2015 .

[18]  Babak Mozafari,et al.  Relay logic for islanding detection in active distribution systems , 2015 .

[19]  Ehab Saliem Ali Mohamed Salamh.  Optimal Power System Stabilizers design via Cuckoo Search algorithm , 2016 .

[20]  Mania Pavella.  Power system transient stability assessment – traditional vs modern methods , 1998 .

[21]  Turan Gonen,et al.  Electrical Power Transmission System Engineering: Analysis and Design, 2nd Edition , 2009 .

[22]  Turan Gönen,et al.  Electric Power Transmission System Engineering: Analysis and Design , 1988 .

[23]  Syed Mohammad Ashraf,et al.  Voltage stability monitoring of power systems using reduced network and artificial neural network , 2017 .

[24]  Jovica V. Milanovic,et al.  Artificial-Intelligence-Based Methodology for Load Disaggregation at Bulk Supply Point , 2015, IEEE Transactions on Power Systems.