Model-free control for VSC-based HVDC systems

Barkat, Abderrahmane; Marinescu, Bogdan; Join, Cédric; Fliesś, Michel

doi:10.1109/isgteurope.2018.8571469

Cited by 8 publications

(4 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For implementing the controller (11), one needs the information of the unknown quantity, F 2 (k) which is to be estimated in the same manner as before. The estimated value of F 2 (k) is defined as F2 (k) which is calculated as :…”

Section: Remark 2 Numerical Differentiation Technique Is Widely Used ...mentioning

confidence: 99%

A Decentralised Control Strategy for Secondary Voltage Regulation

Goyal¹,

Thomas²,

Marinescu³

2022

Preprint

Self Cite

View full text Add to dashboard Cite

This paper proposes a decentralised secondary voltage control strategy that has several benefits over the existing centralised strategies. For that, a new structure for the control is proposed in terms of an inner and outer loops for each generator. The individual generators of a particular zone participate in the secondary voltage control by aligning their reactive powers with respect to the pilot point voltage reference. The decentralised nature of the proposed control strategy enables plug and play operation: run with different numbers of generators without any need of regulators reconfiguration, resilience in case of generator failure. This allows one to use such control to integrate renewable generators to existing secondary regulations alongside with the classic generators. The proposed control strategy is implemented using a model-free control scheme that does not require a higher order complex model of the power grid. The deployment of a discrete-time intelligent proportional controller simplifies the tuning of the controller gains. The proposed strategy is validated on a four generator power system model in MAT-LAB/Simulink/Simelectrical environment. Simulation results are presented to show the effectiveness of the proposed strategy along with different case studies such as load perturbation, transmission line perturbation, generator disconnection and delay in pilot point voltage measurement to highlight its robustness.

show abstract

Section: Remark 2 Numerical Differentiation Technique Is Widely Used ...mentioning

confidence: 99%

A Decentralised Control Strategy for Secondary Voltage Regulation

Goyal¹,

Thomas²,

Marinescu³

2022

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…In the device displayed in Figure 1 load variations are mitigated via phase shift minimization by two generators (see [37], [38] for more details). Note moreover that power grids were already investigated via model-free control [54], [55].…”

Section: A Power Gridmentioning

confidence: 99%

Defense against DoS and load altering attacks via model-free control: A proposal for a new cybersecurity setting

Fliess,

Join,

Sauter

2021

Preprint

Self Cite

View full text Add to dashboard Cite

Defense against cyberattacks is an emerging topic related to fault-tolerant control. In order to avoid difficult mathematical modeling, model-free control (MFC) is suggested as an alternative to classical control. For illustration purpose a Load Frequency Control of multi-areas power network is considered. In the simulations, load altering attacks and Denial of Service (DoS) in the communication network are applied to the system. Our aim is to compare the impact of cyberattacks on control loops closed via respectively a classical controller in such situations and a model-free one. Computer experiments show impressive results with MFC.

show abstract

“…19,20 In this method, the control system is represented by an ultra-local low-order (mostly, first or second-order) differential equation, therefore, this approach with input-output data-driven does not need a large-scale precise mathematical model. This control strategy allows the synthesis of a simple PID controller type, which has already been successfully applied in many fields, such as power electronics control systems, 21 and vehicle control. 22 With the application of nonlinear and complex control objects in practice, the control methods based on the system model are difficult to solve the various uncertain factors and environmental disturbances.…”

Section: Introductionmentioning

confidence: 99%

Study of an improved single neuron PID control algorithm in the Tokamak plasma density control system

Shu,

Yang,

Zhang

et al. 2023

Measurement and Control

View full text Add to dashboard Cite

Tokamak is an important device for controlled nuclear fusion research. The plasma electronic density control system (PEDCS) is an important system for controlling the Tokamak discharge process, which should be of high stability, rapidity, and accuracy. Gas seeding systems are widely used in many Tokamak devices to achieve plasma electronic density control. According to the mechanism model analysis for the plasma electronic density object, an adapted single neuron proportion integration differentiation (PID) control algorithm with the radial basis function (RBF) neural network tuning is studied. The principle and the implementation of the intelligent control algorithm are described in detail in this paper. The intelligent controller enables the system to optimize the PID parameters online according to the density state in the discharge process. The experimental results show that the adapted algorithm achieves a good control effect and also improves the control performance. The proposed method provides a useful reference for Tokamak devices and other similar control systems.

show abstract

Model-free control for VSC-based HVDC systems

Cited by 8 publications

References 17 publications

A Decentralised Control Strategy for Secondary Voltage Regulation

A Decentralised Control Strategy for Secondary Voltage Regulation

Defense against DoS and load altering attacks via model-free control: A proposal for a new cybersecurity setting

Study of an improved single neuron PID control algorithm in the Tokamak plasma density control system

Contact Info

Product

Resources

About