2013
DOI: 10.1002/etep.1758
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Classical and fuzzy controllers for a hybrid flow controller

Abstract: SUMMARY This paper proposes a modified switching strategy for hybrid flow controller (HFC) as a power flow controller. The current strategies for HFC are suitable only for specific situations and generally are not applicable. The modified strategy is implemented by using the logical operators as a classical controller. Simulation results on two situations, representing all the possible states of the HFC, verify its performance. The fluctuations of the transferred active power caused by switching the HFC might … Show more

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Cited by 2 publications
(5 citation statements)
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“…Therefore, PST Tap is increased (decreased) when TSSC step is negative (positive). In general, while the TSSC step is not zero or the measured power is not in the acceptable region, control strategy of IHFC is similar to [8], and α is fixed at 90°. Otherwise, TCSC is controlled only in capacitive mode to eliminate possible error.…”
Section: Closed-loop Controller For Ihfcmentioning
confidence: 99%
See 3 more Smart Citations
“…Therefore, PST Tap is increased (decreased) when TSSC step is negative (positive). In general, while the TSSC step is not zero or the measured power is not in the acceptable region, control strategy of IHFC is similar to [8], and α is fixed at 90°. Otherwise, TCSC is controlled only in capacitive mode to eliminate possible error.…”
Section: Closed-loop Controller For Ihfcmentioning
confidence: 99%
“…Despite various ways to improve the HFC configuration, in the proposed method the initial firing angle of the TCSC is set to 90°(when thyristors of TCSC are not fired) to benefit current designed controllers for the HFC [7,8] (the reader is referred to [8] for a more detailed discussion of switching strategies for the HFC). In this method, the conventional HFC provides the transmitted power to a lower band of ΔP, and by controlling the TCSC in the capacitive mode (i.e.…”
Section: Closed-loop Controller For Ihfcmentioning
confidence: 99%
See 2 more Smart Citations
“…Among the mathematical models, the fuzzy model, in which the truth values of the variables can be any real number between 0 and 1, has been highlighted to predict inaccurate phenomena with greater accuracy, such as potato yield prediction [17], the vitality of orchids [18], the automatization of water flow control in pipes [19], precision sensors [20] and control of agricultural spraying [21,22]. Additionally, fuzzy models present a variety of applications in expert systems that search for algorithm knowledge conversion, such as the selection of wheat genotypes [23] and management of cotton crops [24].…”
Section: Introductionmentioning
confidence: 99%