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

Autor: Bhanu P. Soni, Akash Saxena, Vikas Gupta, Simrath L. Surana
Jazyk: angličtina
Rok vydání: 2019
Předmět:
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
Engineering (General). Civil engineering (General)
TA1-2040
Zdroj: The Journal of Engineering (2019)
Druh dokumentu: article
ISSN: 2051-3305
DOI: 10.1049/joe.2018.9353
Popis: 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.
Databáze: Directory of Open Access Journals
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