Transient stability of electric power systems based on one-machine infinite-bus models and local analysis
Thesis/Dissertation
·
OSTI ID:5100023
The recently proposed Extended Equal Area Criterion (EEAC) has a high potential for online transient stability assessment of large electric power systems. This method employs dynamic aggregation to transform the multimachine problem into a one-machine infinite-bus (OMIB) problem. Here we propose a dynamic equivalent for the relatively large undisturbed area containing many generators which suffer relatively less perturbations due to a severe disturbance occurring on the power system, and develop an on-line EEAC-based methodology using this equivalent. The use of this equivalent greatly reduces the system order-hence reduces the computation, and also makes the method implementable with data only from the disturbed area. This latter feature allows decentralized stability assessment in a subarea for a number of postulated disturbances in this area. These decentralized analyses for somewhat overlapped sub-areas can be performed parallel in time, thereby further reducing the computation time. We also offer a practical on-line transient stability determination method in which a local stability analysis is performed at the site of each probable critical machine by using the pre-fault and post-fault measurement taken solely at that site. This local analysis basically consists of making a stability prediction by tracking a local energy difference function derived from a local one-machine infinite-but model, for a very short initial period of the post-fault interval. Such tracking is needed to accommodate the local OMIB-model not being a true model for the actual post-fault system. A post-fault system is considered stable only if all such local analyses predict stability, otherwise the system is considered unstable. This new method is expected to be useful in the area of local transient stability control.
- Research Organization:
- Wayne State Univ., Detroit, MI (United States)
- OSTI ID:
- 5100023
- Country of Publication:
- United States
- Language:
- English
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