Multi-Staged PID Controller Tuned by Invasive Weed optimization Algorithm for LFC Issues

Patel, Nimai Charan; Debnath, Manoj Kumar; Sahu, Binod Kumar; Dash, Subhransu Sekhar; Bayındır, Ramazan

doi:10.1109/icrera.2018.8566759

Cited by 7 publications

(3 citation statements)

References 14 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%

“…Especially, in recent years, meta-heuristic methods have gained high attention because of their fast, reliable, and successful convergence results to the optimal solution. Some of the meta-heuristic algorithms used in AGC problems are firefly algorithm (FA) [10], particle swarm optimization (PSO) [11,27], whale optimization algorithm (WOA) [8], symbiotic organism search algorithm (SOSA) [13], differential search algorithm (DSA) [14], invasive weed optimization algorithm (IWOA) [15], differential evolution algorithm (DEA) [17], pathfinder algorithm (PA) [19], imperialist competitive algorithm (ICA) [20], hybridization of meta-heuristic algorithms [25,26].…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Introductionmentioning

confidence: 99%

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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show abstract

“…Invasive weed optimization (IWO) algorithm, first proposed by Mehrabian and Lucas [14], was used by many authors such as Oozeer and Ramjug-Ballgobin [15], Patel et al [16] and also by Mishra et al [17] in the field of load frequency control (LFC). Jaya algorithm(JA) developed by Rao [18] in 2016, have been used by Purey and Arya [19] to obtain optimum reactive power reserve by using shunt compensation to IEEE 14 bus and 30 bus systems taking into account constraints on the stability.…”

Section: Introductionmentioning

confidence: 99%

Application of metaheuristic control strategies to voltage regulation

Ramjug-Ballgobin

Fowdar

2019

SN Appl. Sci.

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This paper proposes four controllers applied to two existing generator models (1st and 4th order) with a type 1 excitation system taking into account nonlinearities. Jaya, crow search, and invasive weed optimization algorithm based PID controllers as well as adaptive neuro-fuzzy interface system controller were used to regulate the generator output in case of sudden voltage fluctuations. The results obtained were found to be very promising since most of them improved the uncompensated systems response in terms of overshoot, steady-state error, settling time and rise time. The overall best controller was found to be the Jaya based PID due to its responses as well as its ability to quickly converge to the best fitness.

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Fractional Calculus Based PI-FOPID Controller for Frequency Deviation Control in Integrated Power System

Padhi

Deeb

Tripathy

et al. 2023

Lecture Notes in Electrical Engineering

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Multi-Staged PID Controller Tuned by Invasive Weed optimization Algorithm for LFC Issues

Cited by 7 publications

References 14 publications

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

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

Application of metaheuristic control strategies to voltage regulation

Fractional Calculus Based PI-FOPID Controller for Frequency Deviation Control in Integrated Power System

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