A Survey on FOPID Controllers for LFO Damping in Power Systems Using Synchronous Generators, FACTS Devices and Inverter-Based Power Plants

Saadatmand, Mahdi; Gharehpetian, Gevork B.; Kamwa, Innocent; Siano, Pierluigi; Guerrero, Josep M.; Alhelou, Hassan Haes

doi:10.3390/en14185983

Cited by 15 publications

(7 citation statements)

References 105 publications

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“…However, for the FOPID controller 𝜆 and 𝜇 can have any value. Consequently, the stabilizing set of the FOPID is wider than that of the integer order PID, which makes it more robust against system uncertainties [25].…”

Section: 𝑙𝑜𝑔(𝑎𝑏)mentioning

confidence: 99%

Optimal fractional SSSC auxiliary controller for power system low frequency oscillations damping improvement

Benayad¹,

Zabaiou²,

Bouafassa³

2023

Bulletin EEI

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This work presents a new controller design to improve inter-area low frequency electromechanical oscillations (LFEOs) damping and enhance the overall stability of the electrical network. The control strategy used the static synchronous series compensator (SSSC) based flexible AC transmission systems (FACTS) series-type device mainly performed for power flow and voltage regulation. Then, a fractional order proportional integral derivative (FOPID) is introduced as an auxiliary controller for the SSSC using the difference of rotor speed deviations of generators as input signal to improve the oscillations damping. Moreover, genetic algorithm (GA) is applied to seek for optimum controller gains. The proposed control approach is examined on two-area four-machine (2A4M) test system. The FOPID performance is compared with the integer order proportional integral derivative (PID). Obtained results show that the proposed SSSC-based FOPID controller achieves high performance for enhancement of inter-area low frequency oscillations damping.

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Section: 𝑙𝑜𝑔(𝑎𝑏)mentioning

confidence: 99%

Optimal fractional SSSC auxiliary controller for power system low frequency oscillations damping improvement

Benayad¹,

Zabaiou²,

Bouafassa³

2023

Bulletin EEI

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“…The ability of conventional controllers to reject perturbations can be increased by adding fractional order. Fractional‐order I (FOI), 44 CC‐2DOF (PI)‐PDF, 45 FOTIDF‐II 46 and FOPID 44 controllers are recommended in order to enhance the effectiveness of standard I/PI/PID/PDF 47 controllers. Only the system's responses are required for the online optimization of PID, stabilizing signal and other auto tuning controller variables and a selection methodology with a quadratic performance index is used 48 .…”

Section: Introductionmentioning

confidence: 99%

Hybrid whale optimization algorithm‐scaled cascade fractional order hybrid controller applied to renewable based Electric Vehicle generating systems

Mondal¹,

Biswas²,

Roy

et al. 2023

Int J Numerical Modelling

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In the upcoming epochs, conventional energy may deplete soon. Thus, the use of conventional energy in the power industries need to be supplemented by non‐conventional energy resources. This would result in loss of synchronisms in the power grids owing to the fact that solar and wind alternate their attributes expeditiously with change in atmospheric phenomenon. To ameliorate frequency deviation within a specific range automatic generation control (AGC) implements forced allowance on system operation. A three area thermal with photovoltaic (PV), electric vehicle (EV), wind system is considered under deregulated environment to develop and to judge the efficacy of newly developed cascade fractional order hybrid controller combination of (FOTID & 3DOF‐PID). Comparing the aforementioned controller to other controllers such as the three degree of freedom proportional‐integral‐derivative (3DOF‐PID), the fractional order tilt‐integral‐derivative (FOTID) and the proportional‐integral‐derivative (PID) justifies the system's effectiveness. This assessment has been accomplished by a trendy optimization technique such as hybrid whale optimization algorithm (HWOA). However, the main intent of this write‐up is to fabricate a cascade fractional order (CC‐FO) hybrid controller that would act as the new control mechanism for the proposed system under deregulated scenario. It has been found that the suggested CC‐FO hybrid controller stabilizes the system (i.e., Under step load disruptions, frequency deviation and tie‐line power become zero) in the shortest amount of time possible. Additionally, it is seen that the recommended controller can control a wide range of nominal loading circumstances and system characteristics, demonstrating its robustness.

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“…Linear Quadratic Gaussian (LQG) optimal control technique is one of the modern controls which is based on Kalman Filter (KF) in combination with a Linear Quadratic Regulator (LQR) controller. LQG controllers can be successfully applied to both Linear Time-Variant (LTV) systems and Linear Time-Invariant (LTI) systems [1]. Typically, LQG controller technique is employed effectively to control dynamic systems with disturbances.…”

Section: Introductionmentioning

confidence: 99%

Optimal Control Approach for Robot System Using LQG Technique

Mohammed¹,

Noaman²

2022

JESA

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A two-wheeled self-balancing robot system bases on the physical problem of an inverted pendulum. Stabilization of this type of mobile robot requires applying an active control approach. This paper proposes an efficient Linear Quadratic Gaussian (LQG) optimal control for the two-wheeled robot system. The LQG (a combination of a Kalman Filter (KF) and Linear Quadratic Regulator (LQR)) controller is designed to stabilize the robot while reducing the effect of the process and measurement noises on its performance. The LQG controller parameters (elements of state and control weighting matrices of the LQR and KF) are optimally tuned using the Particle Swarm Optimization (PSO) optimization method. The robot stabilization scheme is simulated utilizing MATLAB software to validate the proposed PSO-LQG controller system. The effectiveness of the proposed controller is validated based on the control criteria parameters, which are rise time, settling time, maximum overshoot, and steady-state error. The results prove that the proposed PSO-LQG controller can give very good movement performance in terms of both transient and steady-state responses.

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A Survey on FOPID Controllers for LFO Damping in Power Systems Using Synchronous Generators, FACTS Devices and Inverter-Based Power Plants

Cited by 15 publications

References 105 publications

Optimal fractional SSSC auxiliary controller for power system low frequency oscillations damping improvement

Optimal fractional SSSC auxiliary controller for power system low frequency oscillations damping improvement

Hybrid whale optimization algorithm‐scaled cascade fractional order hybrid controller applied to renewable based Electric Vehicle generating systems

Optimal Control Approach for Robot System Using LQG Technique

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