2017
DOI: 10.1016/j.isatra.2016.09.027
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Adaptive PI controller to voltage regulation in power systems: STATCOM as a case study

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Cited by 34 publications
(16 citation statements)
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“…However, depending upon open-and closed-loop concepts, closed-loop control is sub-classified into constant inductor current, constant capacitor voltage, linear voltage control, and optimization techniques [154]. These techniques are further arranged into modern control techniques for output voltage control, current regulation, harmonic filtering, and compensation in all critical circumstances [155,156].…”
Section: Apfs/statcom Control Techniquesmentioning
confidence: 99%
See 1 more Smart Citation
“…However, depending upon open-and closed-loop concepts, closed-loop control is sub-classified into constant inductor current, constant capacitor voltage, linear voltage control, and optimization techniques [154]. These techniques are further arranged into modern control techniques for output voltage control, current regulation, harmonic filtering, and compensation in all critical circumstances [155,156].…”
Section: Apfs/statcom Control Techniquesmentioning
confidence: 99%
“…Moreover, these techniques require more time (one cycle) than time-domain methods to calculate Fourier coefficients, reference currents, and voltage signals for the sampling of variable coefficients. Meanwhile, time-domain techniques use instantaneous p-q theory [160], synchronous d-q reference frame theorem [161], synchronous detection theorem [120,162], constant power factor algorithm [163], PI controller [156], fuzzy controller [164], hysteresis controller [165], and sliding-mode controller [166]. Methods such as dividing frequency control [167] and extension p-q theorem [168] are implemented to generate the reference signals, which implement the p-q technique.…”
Section: Apfs/statcom Control Techniquesmentioning
confidence: 99%
“…Meanwhile, Liu [10] used only 5 to 10 α-planes and demonstrated that the required accuracy of centroid calculation is achieved. The new architecture for the GT2FS based on the α-plane representation is illustrated in Figure 4 [23]. The overall GT2FLS is constructed by a fuzzifier, a fuzzy rule-base, a fuzzy inference engine, a type reducer, and a defuzzifier.…”
Section: General Type-2 Fuzzy Systemsmentioning
confidence: 99%
“…Inductors current of STATCOM are considered as state variable. By writing KVL equations at STATCOM output, following equation is obtained [24,25]:…”
Section: A Dynamic Characteristics Of the Statcommentioning
confidence: 99%