Novel application of Selfish Herd Optimisation based Two Degrees of Freedom Cascaded Controller for AGC Study

Jena, Narendra Kumar; Patel, Nimai Charan; Sahoo, Subhadra; Sahu, Binod Kumar; Dash, Subhransu Sekhar; Mohanty, Kanungo Barada; Bayındır, Ramazan

doi:10.1109/icrera47325.2019.8996512

Cited by 6 publications

(1 citation statement)

References 19 publications

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“…For AGC applications, researchers have proposed many conventional and modern control techniques so far. Some of these published control methods are proportional-integral (PI) controller [8,10,11], proportional-integralderivative (PID) controller [8,12,13], proportional-integral-derivative controller with filter (PIDF) [8,14], multi-staged PID controller (MSPID) [15], tilt-integral-derivative controller (TID) [16,17], TID with filter (TIDF) [18], fractional order tilt-integral-derivative (FOTID) [19], fractional order PID controller (FOPID) [20,21], fractional order cascaded controller [22], fuzzy logic based controller structures [23][24][25][26], high order differential feedback controller (HODFC) and its fractional expansion (FHODFC) [27].…”

Section: Introductionmentioning

confidence: 99%

Cascaded fractional order automatic generation control of a PV-reheat thermal power system under a comprehensive nonlinearity effect and cyber-attack

Cavdar,

Sahin,

Sesli

et al. 2023

Electr Eng

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Integration of renewable energy systems to the existing power grid has become an inevitable issue all over the world. Besides its advantages, it brings serious problems such as system frequency and tie-line power fluctuations which may result in instability or undesired situations in a power system. On the other hand, cascaded controller structures have become so popular in the literature. Because they have more degree of freedom resulting in increased flexibility according to the non-cascaded ones. Within the above-given explanations, in this study, we aim to investigate the performances of cascaded fractional and integer order controllers TI-TD and PI-PD compared to the non-cascaded ones PID and TID controllers for a two area PV-Thermal reheat power system. The designed Article Title controllers are optimized by the Mayfly algorithm (MA) to minimize the integral of the time-weighted absolute error (ITAE) performance index. A detailed performance task is considered for the controllers. These are time domain analysis, robustness, random load change, progressive nonlinearities, and cyber attack issues. The nonlinearity analysis consists of governor dead band (GDB), generation rate constraints (GRC), boiler dynamics (BD), and time delay (TD). Also, two cyber-attack models called a resonance attack (ResA) and random attack (RndA) are applied to the controller systems. Simulation results show the superiority of the optimized and cascaded controllers, especially for TI-TD controller. The performance result of the controllers is also verified by comparing each other and some reported controllers in the literature.

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