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This paper builds on a stochastic framework first proposed in [18] to tackle recovery from a protection misoperation through a selective secondary protective control under a maximum security criterion.
Thus the concern on the high frequency of protection misoperations is reflected in the need to use a secondary protective control to reduce the risk index (bar{s}_{12}) to be as close to 0 as possible.
Time (t_d), at which a secondary protective control action is exerted, can be determined by tracking each (s_{f_i,u}(t)) in real-time until one exceeds a prescribed threshold, and satisfies begin{aligned} max _{i in {0,; 1, cdots, N},u in {mathcal{U}}} s_{f_i,u}(t) > s_{th} end{aligned} (10 persistently for a period of time up to (t_d).
A critical fault refers to one that inevitably leads to a system outage in the absence of an appropriate protective control action.
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.
As a consequence, our ability is impeded in terms of understanding the fundamentals and quantifying the computational and technological requirements for an effective secondary protective control strategy; (2) The traditional continuous-state model ignores the electric network dynamics and considers only the much slower electromechanical dynamics.
The new development in this paper is centered around introducing secondary protective control functions to recover from a primary protection misoperation.
The technology readiness for implementing the secondary protective control is examined through a three-area test system.
The desired secondary protective control takes no action when the primary protection operates correctly, and a corrective action when the primary protection fails to trip or falsely trips.
This section reviews a previously defined modeling principle [16], which uses security indices as protective control criteria.
The new development shifts the emphasis to modeling the protection misoperations and recovery processes and to delineating the secondary protective control problem.
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