Robust Model Predictive Control of Gate-Controlled Series Capacitor for LFC of Power Systems

Oshnoei, Arman; Kheradmandi, Morteza; Khezri, Rahmat; Mahmoudi, Amin

doi:10.1109/tii.2020.3016992

Cited by 39 publications

(15 citation statements)

References 23 publications

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“…Moreover, a novel tilt‐based fractional order controllers for frequency regulation in RES based power system is reported in Reference 30. While as model predictive control based HPS with GCSC is reported in Reference 31. Fuzzy‐IDD as secondary control is discussed in Reference 32.…”

Section: Introductionmentioning

confidence: 99%

Disturbance rejection based fractional order PID controller for system performance improvement of hybrid power system

Fayaz

Pahuja

2022

Optim Control Appl Methods

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The present paper introduces a disturbance-rejection based fractional-order proportional-integral-derivative (DR-foPID) controller as optimal control strategy for performance enhancement of hybrid power system (HPS). The two-area HPS is equipped with various generation sources in the form of solar-thermal-system (STS), conventional thermal, wind-turbine-system (WTS) and geo-thermal power plants establishing a coordinated system frequency and tie-line power control. In addition, electric vehicles (EVs) are integrated with the HPS to check its effect on dynamic characteristics. The controller gains are optimized using an effective bio-geography based krill herd (BBKH) optimization technique to achieve the required performance of the HPS. This study validates the efficacy of the BBKH adjusted DR-foPID controller for efficient operation of system dynamic characteristics. The resilience of DR-foPID controller gains is confirmed by a sensitivity test involving large fluctuations in system load variations from their nominal values. It is also demonstrated that EVs help to increase the performance of HPS. A study involving the power management capability of EVs for improving the system performance is also demonstrated. Moreover, the effect of redox flow battery as energy storage device for system dynamic control are also illustrated. At last, a DR-foPID controller is tested in case study on three-area HPS.

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Section: Introductionmentioning

confidence: 99%

Disturbance rejection based fractional order PID controller for system performance improvement of hybrid power system

Fayaz

Pahuja

2022

Optim Control Appl Methods

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“…A tilt‐based controller strategy has been proposed in Reference 30 for improving the frequency regulation of renewable based LFC system. A model‐predictive‐control approach is introduced in Reference 31 for FACT devices integrated LFC system. Kler et al 32 have studied integral minus proportional derivative controller.…”

Section: Introductionmentioning

confidence: 99%

State‐observer based IDD controller for concurrent frequency‐voltage control of a hybrid power system with electric vehicle uncertainties

Safiullah

Rahman

Lone

2021

Int Trans Electr Energ Syst

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Summary The present paper proposes a novel state‐observer (SO) based integral‐double‐derivative controller for simultaneous frequency‐voltage control operation of a hybrid power system. The hybrid system consists of solar‐thermal, conventional‐thermal, diesel‐plant, and modern day electric vehicle (EV), establishing a concurrent system frequency, voltage, and the corresponding tie‐line power control. In order to exhibit realistic approach, the hybrid system is provided with appropriate system non‐linearities. For the desired performance of the presented hybrid power system, controller gain parameters are optimized by means of a highly effective magnetotactic‐bacteria‐optimization (MBO) technique. The objective function to be minimized is such formulated, resulting in optimized system performance. The reduction of objective function values by 13.6% for the proposed controller is exhibited. Similarly, the demerit index shows a reduction of 25% as compared with other controllers. Sensitivity test pertaining to extensive variations of system parameters from the nominal values confirms the robustness of the optimal controller gains. The proposed control strategy is tested on a more complex three‐area hybrid power system, and the simulation results further validate the effective regulation approach of the optimal controller with a reduction of 12.9% in objective function value. The fact that EVs assist in improving system stability is also demonstrated. An innovative study related to the effects of large penetration of EVs on the system load demand is presented herewith.

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“…Bakeer et al have used model predictive control to improve the voltage stability of the utility grid 30 . Load frequency control of power system using MPC of gate‐controlled series capacitor has been demonstrated by Oshnoei et al 31 …”

Section: Introductionmentioning

confidence: 99%

“…27 Bakeer et al have used model predictive control to improve the voltage stability of the utility grid. 30 Load frequency control of power system using MPC of gate-controlled series capacitor has been demonstrated by Oshnoei et al 31 To the best of the knowledge of authors, no paper has taken into consideration the constraints on the state of charge of FESS and its converter rating. Taj et al have employed FESS to investigate the transient stability enhancement of a grid-connected wind farm using flywheel energy storage system.…”

Section: Introductionmentioning

confidence: 99%

Adaptive predictive control of flywheel storage for transient stability enhancement of a wind penetrated power system

Kumar

Mufti

Zargar

2021

Intl J of Energy Research

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Summary Flywheel energy storage system (FESS) needs to be operated within its allowable speed range because it will be shut down outside this range. Furthermore, the power supplied/absorbed by FESS is constrained by the associated power electronic interface. This article proposes supervisory adaptive predictive control (APC) scheme for flywheel energy storage system to enhance power system transient stability while addressing the constraints mentioned earlier. The supervisory adaptive predictive controller gives a reference power command signal to the inner control loop of FESS while ensuring the operation of FESS within its regime of operation. The gains of the inner control loop are optimized by employing Genetic Algorithm (GA). The constraints on the state of charge of FESS and power rating of the associated converter are explicitly included in the adaptive predictive controller formulation, which is usually done in an ad hoc manner. The performance of the proposed control strategy is evaluated under four scenarios: a step wind disturbance, realistic wind profile, doubly fed induction generator (DFIG) outage, and a severe symmetrical fault condition on modified New York/New England 16 machine 68‐bus power system. The validity of the adaptive predictive control based flywheel energy storage system (APC based FESS) in improving transient stability of power system is verified by the simulation studies carried out in MATLAB/Simulink environment.

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Robust Model Predictive Control of Gate-Controlled Series Capacitor for LFC of Power Systems

Cited by 39 publications

References 23 publications

Disturbance rejection based fractional order PID controller for system performance improvement of hybrid power system

Disturbance rejection based fractional order PID controller for system performance improvement of hybrid power system

State‐observer based IDD controller for concurrent frequency‐voltage control of a hybrid power system with electric vehicle uncertainties

Adaptive predictive control of flywheel storage for transient stability enhancement of a wind penetrated power system

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