Power System Transient Stability Assessment Based on Big Data and the Core Vector Machine

Wang, Bo; Fang, Biwu; Wang, Yajun; Liu, Hesen; Li, Fangxing

doi:10.1109/tsg.2016.2549063

Cited by 239 publications

(119 citation statements)

References 24 publications

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“…Y mr and Y rm denote the mutual admittance matrix between non-generator and generator nodes. If we rewrite Equation (10) in two equations, we have…”

Section: Power Network Couples Between Nodal Voltage and Currentmentioning

confidence: 99%

“…The operation of an automatic control device and the system operators eventually restore the system to a normal state. If the system is in the state of instability, it will cause run-down or run-away states [9,10]. For example under a sustained fault, the angle separation of the generator rotor increases gradually, or the bus voltage gradually decreases.…”

Section: Introductionmentioning

confidence: 99%

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Impacts of Integration of Wind Farms on Power System Transient Stability

et al. 2018

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Abstract:To compensate for the ever-growing energy gap, renewable resources have undergone fast expansions worldwide in recent years, but they also result in some challenges for power system operation such as the static security and transient stability issues. In particular, as wind power generation accounts for a large share of these renewable energy and reduces the inertia of a power network, the transient stability of power systems with high-level wind generation is decreased and has attracted wide attention recently. Effectively analyzing and evaluating the impact of wind generation on power transient stability is indispensable to improve power system operation security level. In this paper, a Doubly Fed Induction Generator with a two-lumped mass wind turbine model is presented firstly to analyze impacts of wind power generation on power system transient stability. Although the influence of wind power generation on transient stability has been comprehensively studied, many other key factors such as the locations of wind farms and the wind speed driving the wind turbine are also investigated in detail. Furthermore, how to improve the transient stability by installing capacitors is also demonstrated in the paper. The IEEE 14-bus system is used to conduct these investigations by using the Power System Analysis Tool, and the time domain simulation results show that: (1) By increasing the capacity of wind farms, the system instability increases; (2) The wind farm location and wind speed can affect power system transient stability; (3) Installing capacitors will effectively improve system transient stability.

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“…Y mr and Y rm denote the mutual admittance matrix between non-generator and generator nodes. If we rewrite Equation (10) in two equations, we have…”

Section: Power Network Couples Between Nodal Voltage and Currentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Impacts of Integration of Wind Farms on Power System Transient Stability

et al. 2018

View full text Add to dashboard Cite

show abstract

“…So the technical optimization of power big data becomes an important research area in power sector. The existing research on power big data technology and its optimization mainly focus on abnormal warning and system stability assessment based on machine learning [6], power distribution system management and optimization [7], power big data scheduling optimization [8] and so on. In addition, some research such as Luxin Wang [9] et al designed a discretization scheme for electric data based on cloud computing; Qu Chaoyang [10] et al utilized cloud computing technology to achieve data pre-processing reduction method of electric data.…”

Section: Technical Optimization Of Power Big Datamentioning

confidence: 99%

Big Data based Service Platform and Its Typical Applications of Electric Power Industries

Huang¹,

Huang²,

Wang³

et al. 2018

dteees

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Abstract. The smart power grid is a national immediate demand project, as well as a challenging research issue in power sector. With the emerging and rapidly developing of big data technologies, smart power services based on big data became increasingly significant. By investigating the related work and requirements in power sector, a general service platform framework in electric power industries was proposed, in which big data oriented processing modules are illustrated for power data flow. Finally, the associated typical power services are presented for China Southern Power Grid, where it was considered as an experimental base to carry out several power big data applications, as their results show that the power big data service platform can preferably improve the performance in line loss calculation, real-time power equipment detection and power consumption forecasting.

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“…Presently available methods for real-time transient rotor angle stability assessment after a fault are mostly classified into two categories: model-based methods [6,7] and model-free methods [8,9]. Model-based methods that depend on a power system model are not particularly appropriate for online stability assessment implementation due to computational complexity and high computation cost associated with the size of power system [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Wide-Area Measurement—Based Model-Free Approach for Online Power System Transient Stability Assessment

Huang

Chen

et al. 2018

Energies

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Online assessment of transient stability of power systems is critical for avoiding blackout. The increasing installation of phasor measurement units in power systems and the advancement of the wide-area measurement systems make it possible to develop methods for online assessment of power systems by using a large amount of real-time synchronous data. In this paper, we propose an approach based on the largest Lyapunov exponent (LLE) for online transient rotor angle stability assessment, using only wide-area measurement systems data. Through establishing a mathematical model that accounts for the LLE value and the rotor speed, as well as analyzing the post-fault phase-plane trajectory, we present a fast stability criterion to determine whether transient instability occurs. The proposed approach is model-free and does not need long-time LLE data to identify the final sign of the LLE. Furthermore, to reduce computational cost and realize online assessment for large-scale power systems, the critical generator pair (CGP) is recognized as the observation for the rotor angle stability assessment, and an effective algorithm for identifying the CGP is presented. Several case studies on the IEEE-39 bus test system and East China power grid are reported to demonstrate the accuracy and effectiveness of the proposed approach.Keywords: power system stability; online stability assessment; the largest Lyapunov exponent (LLE); rotor angle speed; wide-area measurement system (WAMS)

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Power System Transient Stability Assessment Based on Big Data and the Core Vector Machine

Cited by 239 publications

References 24 publications

Impacts of Integration of Wind Farms on Power System Transient Stability

Impacts of Integration of Wind Farms on Power System Transient Stability

Big Data based Service Platform and Its Typical Applications of Electric Power Industries

Wide-Area Measurement—Based Model-Free Approach for Online Power System Transient Stability Assessment

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