To solve the issue of processing large-scale data using BPNN in power system for stability analysis especially for identification of CUGs, the presented work in this paper employs HaLoop to reduce the high overhead incurred in computation iterations.
The unstable generators belonged to the CUGs, because their leading (or lagging) rotor angle against other units must exceed the given threshold which is usually set to be equal to or little smaller than the wide-accepted instability criterion.
For this purpose, the cycles of postfault rotor angle trajectories are clustered to identify CUGs from unstable generators, which are used as the target outputs of BPNN in the training process:
(5) If the following constraint cannot be satisfied, the generators contained in group k which breaks (10) are tagged as the CUGs with a binary integer of 1.
Following the above identification procedure, the CUGs of the 16-machine testing system illustrated in Figure 2 can be indicated as shown in Table 1.
Tables 2 and 3 illustrate the selected features fed to train HBPNN for the CUGs and global stability, respectively.
Two of the attitude-induction conditions involved presenting participants with a graphic and elaborated narrative that established the nonsense syllables "Cug" and "Vek" as positively or negatively valenced stimuli.
These scales assessed participants' evaluation of how positive or negative they believed "Cug" and "Vek" to be.
Participants in this condition completed a "training" IRAP that reinforced four interrelated stimulus relations involving two arbitrary nonsense words ("Cug" and "Vek") with either six positively valenced (e.g., "Pleasant") or six negatively valenced (e.g., "Nasty") trait adjectives.
A label stimulus appeared at the top center location of the screen (either "Cug" or "Vek"), a single target word (e.g., "Peace" or "Hate") was presented at the midcenter location, and the two response options, "Similar" or "Opposite," appeared in the bottom left- and right-hand corners.
Participants in the verbal-instruction condition read an elaborated, graphic account detailing the meanings of the words "Cug" and "Vek" and their links to a fabricated "ancient language." Half the participants were informed that, according to this language, people described as "Cug" were "valued for their wisdom and generosity ...