2018
DOI: 10.1016/j.aej.2018.11.004
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Load Frequency Control for Multi Area Smart Grid based on Advanced Control Techniques

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Cited by 37 publications
(10 citation statements)
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References 23 publications
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“…Notably, it responds faster under a stringent 3% generation rate constraint. Reference [123] explores the integration of electric vehicles and renewable sources into multi-area power systems. They propose AIoptimized PI controllers, including Fuzzy logic, FOPID tuned by fuzzy, and model predictive control, for LFC.…”
Section: Power System Stability and Load Frequency Controlmentioning
confidence: 99%
“…Notably, it responds faster under a stringent 3% generation rate constraint. Reference [123] explores the integration of electric vehicles and renewable sources into multi-area power systems. They propose AIoptimized PI controllers, including Fuzzy logic, FOPID tuned by fuzzy, and model predictive control, for LFC.…”
Section: Power System Stability and Load Frequency Controlmentioning
confidence: 99%
“…In this model is based on the modulation index of shunt converter and phase angles. The voltage (v 3 ) is regulated by the UPFC Shunt converter by compensating the reactive power [36][37][38][39]. The compensation is based on PI controller tuning.…”
Section: Upfcs Shunt Portion Modelmentioning
confidence: 99%
“…In addition, a type-2 fuzzy with PID was used for two-area networks by [27,28]. The LFC problem was also seen in smart grids [29] using fuzzy logic and genetic algorithm. A hybrid fuzzy with the neural network was proposed for a two-area interconnected power system with an extra static synchronous series compensator and PID [30].…”
Section: Introductionmentioning
confidence: 99%