Intelligent Automatic Generation Control
By Hassan Bevrani, Takashi Hiyama. 2011
296 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/d59a614b0389257faffae499f6ccfb57ab073958
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Citations in the corpus
- Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges (2021, methodology): “According to [56], [69], [72], the system frequency dynamics (17) can be linearized as (33), including the generator swing dynamics (33a) and power flow dynamics (33b). where M i , D i , B ij denote the generator inertia, damping coef-ficient, and synchronization coefficient, respectively.”
- An Intelligent Droop Control for Simultaneous Voltage and Frequency Regulation in Islanded Microgrids (2013, methodology): “Application of Intelligent algorithms such as artificial neural networks (ANNs) in power system control has been frequently used in the literature review [13], [14].”
- Intelligent Frequency Control in an AC Microgrid: Online PSO-Based Fuzzy Tuning Approach (2012, methodology): “The core of such intelligent system should be based on flexible intelligent algorithms [6].”
- Load Frequency Control of a Multi-Area Power System: An Adaptive Fuzzy Logic Approach (2014, background): “In the last two decades, applications of such intelligent techniques to various aspects of power systems, such as operation, planning, control, and management have witnessed increasing attention [1].”