Double Derivative Controller Research Articles

Achieving improved stability for automatic voltage regulation with fractional-order PID plus double-derivative controller and mountain gazelle optimizer

Achieving improved stability for automatic voltage regulation with fractional-order PID plus double-derivative controller and mountain gazelle optimizer

Fractional filter IMC-TDD controller design for integrating processes

A modified internal model control (IMC) with fractional-order tilt double derivative controller (FOTDD) is proposed for integrating processes. This method is extended for all three types of process models, namely, integrating plus time delay process (IPTD), double integrating plus time delay process (DIPTD) and integrating plus first order plus time delay process (IFOPTD). The feedback controller is designed in an IMC framework that can quickly obtain from the plant parameters. Then, the fractional IMC filter can be tuned from the obtained explicit expressions for easy access in practice. A numerical study is conducted with various examples from literature for all types of integrating models. The results are compared with current methods in terms of setpoint tracking, disturbance rejections and parameter perturbation. Even considering a fractional-order derivative controller, the results demonstrated a simple, robust structure with fewer tuning parameters.

Combined Voltage and Frequency Control for Diverse Standalone Microgrid Networks Using Flexible IDC with Novel FOC: A Real-Time Validation

In this paper, a maiden application of combined voltage and frequency control ensures voltage, frequency, and power regulation in diverse standalone low voltage AC microgrid (MG) networks by combining flexible improved droop control (IDC) with a novel fractional-order controller (FOC) proposed. An effort is made to design an IDC into the control loop based on virtual power, virtual negative resistance, inductance, and FOC to ensure power decupling and compensate voltage source converter (VSC) based distributed generators feeder voltage drop. A maiden proportional fractional integral derivative filter plus double derivative controller is used to precisely monitor VSC voltage and current reference value for reducing the control errors. The controller robustness regarding system parameters uncertainties, unmodeled dynamics, and disturbance in the MG system is ensured by a new memetic salp swarm algorithm by finding optimal controller parameters. Several simulation studies in the MATLAB Simulink environment were conducted to verify the efficacy of the proposed technique. The suggested control methodology is also investigated by hardware in the loop using the OPAL-RT real-time simulator platform to demonstrate the controllers practical functional realization. The findings confirmed the efficacy of the proposed strategy.

Automatic generation control of a two area power system implementing IDDF controller under restructured environment

This paper presents the Automatic generation control of an interlinked power system in a restructured environment. The model consists of a hydro plant, a thermal plant and a diesel plant incorporated in both areas. The Area Control Error (ACE) is minimized with the help of a new controller called the Integral Double Derivative controller (IDDF) employed as a secondary controller in the proposed model. The controller parameters are optimized by a novel optimization scheme called the Lightning Search Algorithm. The proposed model is simulated under two market scenarios. The robustness of the system is also examined under step load perturbations, random loading conditions and parameter variation. The settling time of the IDDF controller is put to comparison with the PID controller and the supremacy is established.

Combined voltage and frequency control of a multi‐area multisource system incorporating dish‐Stirling solar thermal and HVDC link

This study highlights the significance of dish-Stirling solar thermal system (DSTS) and high voltage direct current (HVDC) link in the combined automatic load frequency control (ALFC) and automatic voltage regulator (AVR) model of the multi-area thermal-diesel plant. Appropriate generation rate constraints and governor dead band for the thermal plant are considered. A maiden attempt has been made to apply fractional order integral double derivative controller with derivative filter (FOIDDF) as a secondary controller for both ALFC and AVR loops. The performance of the FOIDDF controller is compared with some commonly used classical controllers. The lightning search algorithm is implemented for simultaneous optimisation of the controller parameters. The comparison shows the better performance of FOIDDF than others. The effect of the AVR loop on the ALFC loop is also analysed for the first time in the combined model. The investigation of the effect of DSTS and HVDC links reveals that their inclusion improves the system dynamics. The superiority of the proposed controller has been established for variable insolation of the DSTS. The rigorous sensitivity analysis of the different position and magnitude of disturbance, change in tie-line synchronising coefficient and different condition of the DSTS reflects the robustness of the proposed controller parameters obtained at the nominal condition.

Multi‐verse optimisation: a novel method for solution of load frequency control problem in power system

In this article, a maiden attempt has been made to derive an optimal and effective outcome of load frequency control problem (LFC) using a novel evolutionary algorithm called multi-verse optimisation. The main inspiration of this algorithm is based on three concepts in cosmology: white hole, black hole, and wormhole. To show the effectiveness, a four-area hydrothermal power plant with distinct proportional-integral-derivative (PID) controller is investigated at the first instant and then the study is forwarded to the five-area thermal power plant. To enhance the dynamic stability, an optimal PID plus double-derivative controller (PID + DD) is designed and included in the control areas. The superiority of the proposed method has been established over some recently addressed control algorithms by transient analysis method. To add some degree of non-linearity, generation rate constraint and governor dead band are included in the model and their impacts on the system dynamics have been examined. Finally, a random load perturbation is given to the test systems to affirm the robustness of the designed controllers.

Effect of Static Synchronous Series Compensator (SSSC) for Damping Oscillations in Automatic Generation Control with Cuckoo Search Optimised Integral Double Derivative Controller

This paper investigates into the effectiveness of cuckoo search (CS) algorithm to obtain the optimal gain settings of different classical controllers viz. integral (I), proportional plus integral (PI), proportional plus integral plus derivative (PID) and integral plus double derivative (IDD) for load-frequency control (LFC) of two-area interconnected thermal reheat power system without and with Static Synchronous Series Compensator (SSSC) in the tie-line, and compare its performance to establish its superiority over genetic algorithm (GA) and particle swarm optimization (PSO) algorithms. Further, the performance of above mentioned different classical controllers for the system without and with SSSC is investigated. The study is carried out considering appropriate generation rate constraints (GRC). Integral squared error (I.S.E) technique is used to optimize the designing parameters. Comparison of convergence characteristics of GA, PSO and CS algorithms reveal faster convergence in case of CS algorithm, which is an obvious choice of reducing computational burden. Comparison of dynamic responses reveals that responses for I, PI, PID controllers without and with SSSC are practically more or less same whereas those of IDD without and with SSSC are much better. The improved dynamic responses using IDD controller with SSSC, in terms of peak deviations and settling time as compared to the output responses of the system obtained without SSSC is also presented. Finally, sensitivity analysis is carried out to verify the robustness of the optimum gains of the IDD controllers to wide changes in system loading condition, several system parameters and size of step load perturbation (SLP).