Designing anti-windup PI controller for LFC of nonlinear power system combined with DSTS of nuclear power plant and HVDC link

Gashti, Amin; Akbarimajd, Adel

doi:10.1007/s00202-019-00912-8

Cited by 9 publications

(3 citation statements)

References 34 publications

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“…PI and ADRC are two popular control algorithms for PMSM. PI control has the advantages of simple structure and easy implementation, and ADRC has the advantages of high precision and strong stability [ 2 , 3 ]. However, the tracking control accuracy is relatively low by using PI and traditional ADRC in PMSM speed control.…”

Section: Introductionmentioning

confidence: 99%

Modified ADRC Design of Permanent Magnet Synchronous Motor Based on Improved Memetic Algorithm

Liu

Wang

2023

Sensors

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In this paper, a novel modified auto disturbance rejection control (ADRC) design of a permanent magnet synchronous motor based on the improved memetic algorithm (IMA) is proposed. Firstly, there is an obvious system ripple caused by the defect that the optimal control function used in traditional ADRC cannot be differentiable and smooth at the segment point; aiming at weakening the system ripple effectively, the proposed method constructs a novel differentiable and smooth optimal control function to modify the ADRC design. Furthermore, aiming at improving the integration parameters optimization effect effectively, a novel improved memetic algorithm is proposed for obtaining the optimal parameters of ADRC. Specifically, an IMA with high-quality balance based on an adaptive nonlinear decreasing strategy for the convergence factor, Gaussian mutation mechanism, improved learning mechanism with the high-quality balance between competitive and opposition-based learning (OBL) and an elite set maintenance mechanism based on fusion distance is proposed so that these strategies can improve the optimization precision by a large margin. Finally, the experiment results of the PMSM speed control practical cases show that the ADRC based on IMA has an apparent better optimization effect than that of fuzzy PI, traditional ADRC based on the genetic algorithm and an improved ADRC based on improved moth–flame optimization.

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Section: Introductionmentioning

confidence: 99%

Modified ADRC Design of Permanent Magnet Synchronous Motor Based on Improved Memetic Algorithm

Liu

Wang

2023

Sensors

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“…Nowadays, researchers explore latest emerging artificial techniques to design controllers for practical system with non-linearity. Power system including non-linearities with thermal-hydro-nuclear and thermal-hydro-gas has been studied (14) . Multi source power system has been recced with fuzzy controller for three control area (15) .…”

Section: Introductionmentioning

confidence: 99%

A Novel Jaya Based Automatic Generation Control of Two Area Interconnected Power System with nonlinearity

Gupta¹,

Arora²

2022

IJST

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Background: This paper presents a novel approach to design and optimize Proportional-Integral-Derivative (PID) controller for Automatic Generation Control (AGC) of two-area interconnected power system with different energy sources. Methods: The two area interconnected power system consists of thermal, hydro and wind energy sources in the area-1 and area-2 comprises thermal, hydro and diesel energy sources. The recently developed Jaya Optimization technique is explored to optimize PID controller parameters for the interconnected power system by Matlab. Findings: The dynamic responses of power system is studied including the non-linearities like Governor Dead band (GDB), Generation Rate Constraint (GRC) and boiler dynamics under 1% step load perturbation. Novelty and applications The beauty of Jaya algorithm is that it works with only few control parameters as compared with other algorithms which help in improving dynamic responses and performance values of power system with non-linearities. Hence, the frequency stability is achieved at faster convergence at loads. The comparative analysis of proposed technique with other techniques like Differential Evolution (DE) algorithm and Teaching Learning Based Optimization (TLBO) algorithm for the same power system justify the effectiveness of proposed approach.

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“…Traditional permanent magnet synchronous motor (PMSM) speed control system is regulated by PI controller. PI controller has the advantages of simple structure and easy implementation [3,4]. However, in the modeling of permanent magnet synchronous motor, the structure of the motor is assumed to be idealized.…”

Section: Introductionmentioning

confidence: 99%

Improved Auto Disturbance Rejection Control Based on Moth Flame Optimization for Permanent Magnet Synchronous Motor

Wang

Liu

et al. 2021

IEEJ Transactions Elec Engng

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In this paper, an improved auto disturbance rejection controller (ADRC) is applied to permanent magnet synchronous motor (PMSM) speed control system. Specifically, the improved ADRC is proposed to solve the defect that the nonlinear function of traditional ADRC is not differentiable at the piecewise point. In addition, considering that there are numerous parameters to be optimized in ADRC, an improved moth-flame optimization (MFO) is proposed to obtain ADRC parameters, and adaptive inertia weight coefficient and optimization mechanism based on the fusion of refraction operation and chaotic search are proposed to improve the convergence speed and optimization accuracy for MFO. Simulation and experimental results show that the improvement strategies proposed in this paper can increase the optimization performance for MFO algorithm effectively so that obtained more appropriative ADRC parameters. The improved ADRC can effectively improve the tracking control performance of PMSM speed control system.

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Designing anti-windup PI controller for LFC of nonlinear power system combined with DSTS of nuclear power plant and HVDC link

Cited by 9 publications

References 34 publications

Modified ADRC Design of Permanent Magnet Synchronous Motor Based on Improved Memetic Algorithm

Modified ADRC Design of Permanent Magnet Synchronous Motor Based on Improved Memetic Algorithm

A Novel Jaya Based Automatic Generation Control of Two Area Interconnected Power System with nonlinearity

Improved Auto Disturbance Rejection Control Based on Moth Flame Optimization for Permanent Magnet Synchronous Motor

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