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

• Main Authors: Bhanu P. Soni, Akash Saxena, Vikas Gupta, Simrath L. Surana
• Format: Article
• Language: English
• Published: Wiley 2019-07-01
• Series: The Journal of Engineering
• Subjects: 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
• Online Access: https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9353

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.