Abstract
This paper investigates the feasibility of a selective secondary protective control strategy proposed to maximize the likelihood of recovery from misoperations of the existing (primary) protection in a power system. A scalable stochastic discrete-state model is established, taking into consideration of the processes of protection misoperations and their mitigations. Such misoperations have been a main culprit of cascading failures in modern power systems. The likelihood of recovery from protection misoperations is quantified by a set of security indices that formally incorporate the uncertain knowledge of the continuous-state of rotor angles/speed deviations of synchronous generators and that of the discrete-state of equipment faults and primary protection misoperations. The proposed secondary protection leverages on the ever more available time-synchronized samples of networked sensors for diagnosis and fault-tolerant control to cost effectively improving power system reliability without altering the existing protection system. The technology readiness for implementing the secondary protective control is examined through a three-area test system.
| Original language | English |
|---|---|
| Pages (from-to) | 427-439 |
| Number of pages | 13 |
| Journal | Journal of Modern Power Systems and Clean Energy |
| Volume | 4 |
| Issue number | 3 |
| DOIs | |
| State | Published - Jul 1 2016 |
Keywords
- Availability and security
- Fault-coverage and fault-diagnosis
- Fault-tolerance
- Hybrid modeling and simulation
- Primary and secondary protection
- Protection false trips
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