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Automatic Generation Control: A Review

By: Shukla, Shivank.
Publisher: New Delhi Journals Pub 2019Edition: Vol.5(2), Jul-Dec.Description: 1-7p.Subject(s): Electrical EngineeringOnline resources: Click here In: International journal of analysis of electrical machinesSummary: The automatic generation control (AGC) issue has been increased from time to time with valuable research contributions, such as AGC regulator designs incorporating variations/uncertainties parameters, load characteristics, excitation regulation, and parallel AC/DC transmission links. The microprocessor-based regulator, self-tuning regulator, and adaptive regulator designs have been presented. The most recent advancement in this area is the application of artificial intelligence techniques such as neural networks, fuzzy logic, genetic algorithms etc. to tackle the difficulties associated with the design of regulators with non-linear models and/or insufficient knowledge about the system.
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The automatic generation control (AGC) issue has been increased from time to time with
valuable research contributions, such as AGC regulator designs incorporating
variations/uncertainties parameters, load characteristics, excitation regulation, and parallel
AC/DC transmission links. The microprocessor-based regulator, self-tuning regulator, and
adaptive regulator designs have been presented. The most recent advancement in this area is
the application of artificial intelligence techniques such as neural networks, fuzzy logic,
genetic algorithms etc. to tackle the difficulties associated with the design of regulators with
non-linear models and/or insufficient knowledge about the system.

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