PID Controller With Derivative Filter Research Articles

Stability enhancement of wind energy integrated hybrid system with the help of static synchronous compensator and symbiosis organisms search algorithm

Conventional proportional integral derivative (PID) controllers are being used in the industries for control purposes. It is very simple in design and low in cost but it has less capability to minimize the low frequency noises of the systems. Therefore, in this study, a low pass filter has been introduced with the derivative input of the PID controller to minimize the noises and to improve the transient stability of the system. This paper focuses upon the stability improvement of a wind-diesel hybrid power system model (HPSM) using a static synchronous compensator (STATCOM) along with a secondary PID controller with derivative filter (PIDF). Under any load disturbances, the reactive power mismatch occurs in the HPSM that affects the system transient stability. STATCOM with PIDF controller is used to provide reactive power support and to improve stability of the HPSM. The controller parameters are also optimized by using soft computing technique for performance improvement. This paper proposes the effectiveness of symbiosis organisms search algorithm for optimization purpose. Binary coded genetic algorithm and gravitational search algorithm are used for the sake of comparison.

Parçacık Sürü Optimizasyonu Ayarlı Türev Etkisi Filtreli Bir PID Denetleyici için Hata Tabanlı ve Kullanıcı Tanımlı Amaç Fonksiyonlarının Performans Analizi

In this study, we investigate the performance analysis of transient and steady state characteristics of the commonly used error-based objective functions (EBOF) such as integral of squared error (ISE), integral of time weighted squared error (ITSE), integral of absolute error (IAE), and integral of time weighted absolute error (ITAE) and a user-defined objective function (UDOF). In optimization process, particle swarm optimization (PSO) algorithm tuned proportional-integral-derivative controller with derivative filter (PIDF) is employed for a second order plus dead time (SOPDT) test system. Simulation results shows the superiority of the UDOF in terms of settling time, overshoot, and settling minimum value compared to EBOFs.

PSO Fined-tuned Model-Free PID Controller with Derivative Filter for Buck-Converter Driven DC Motor

Traditionally, the PID controller parameters are tuned heuristically based on time response behavior of the system. This method is tiresome job and can cause undesirable system response. Therefore, this research suggests the tuning method of a model-free PID controller with derivative filter (PIDF) by implementing Particle Swarm Optimization (PSO). This tuning method is applied to buck-converter driven DC motor control. The speed of DC motor is controlled by PIDF controller. The parameters of PIDF controller are fine-tuned by implementing PSO algorithms. The fitness functions of the algorithm are evaluated based on Sum Square Error (SSE) and Sum Absolute Error (SAE). The state-space representation of buck-converter/DC motor is considered to confirm the design of the control method. The results of the proposed tuning method are compared with PI controller and PIDF controller tuned by PID Tuner Simulink. The time response specifications of angular velocity, armature current and duty cycle input energy are considered as a control scheme performance. Finally, the suggested tuning technique promises a very minimum duty cycle energy and a fast input tracking of DC motor angular velocity.

Comparative study using soft computing techniques for the reactive power compensation of a hybrid power system model

Abstract Reactive power discrepancy has caused brief disturbance in the Hybrid Power System Model (HPSM), resulting into voltage fluctuation in the system. This fluctuation has impact in the HPSM both for the steady state and the transient stability. The objective of this paper is to compensate this reactive power and find solution to overcome the problems of not being able to maintain a flat voltage profile of a wind-diesel HPSM. Therefore, the study employs a Proportional-Integral-Derivative Controller with Derivative Filter (PIDF) along with a Static Synchronous Compensator (STATCOM) controller. It also proposes an effectiveness of symbiosis organism search algorithm to optimize the various controller parameters of the studied HPSM and compares the results with other reported stochastic and heuristic algorithms.

Design and implementation of Fuzzy-PID Controller with Derivative Filter for AGC of two-area interconnected Hybrid Power System

The huge band variation in wind speed causes unpredictable swing in power generation and hence large divergence in system frequency leading to unpredictable situation for standalone applications. To overcome the above difficulties, WTG (wind turbine generator) is integrated with conventional thermal power system along with other distributed generation units such as FC (fuel cell), DEG (diesel engine generator), AE (aqua-electrolyser) and BESS (battery energy storage system) which form a hybrid power system. This paper concerns with automatic generation control (AGC) of an interconnected two area hybrid power system as mentioned above. Design and implementation of suitable controllers for AGC of above hybrid power system is a challenging job for operational and design engineers. Various control schemes proposed in this paper are conventional PID & PID controller with derivative filter (PIDF) and fuzzy-PID controller without (fuzzy-PID) and with derivative filter (fuzzy-PIDF) to achieve improved performance of AGC system in terms of frequency profile. The values of gain parameters of proposed controllers are designed using hybrid LUS-TLBO (Local Unimodal Sampling-Teaching Learning Based Optimization) algorithm. Superiority of fuzzy-PIDF controller over other proposed controllers are addressed. Robustness study of proposed fuzzy-PIDF controller is thoroughly demonstrated with change in system parameters and loading pattern. The work is further extended to analyze the transient phenomena of the AGC for a 3-area interconnected system having nonlinearities such as reheat turbine, governor dead band along with generation rate constraint for the thermal generating units.

Design and analysis of BFOA optimised PID controller with derivative filter for frequency regulation in distributed generation system

In this article, a bacterial foraging optimisation algorithm (BFOA)-based proportional integral derivative controller with derivative filter (PIDF) is proposed for frequency regulation of multi source hybrid power system. Initially, a two area, unequal area power system with PIDF controllers, are considered. The area 1 comprises of reheat thermal power system incorporated with distributed generation (DG) system comprising of wind turbine generators (WTGs), diesel engine generators (DEGs), fuel cells (FCs), aqua-electrolyser (AE), ultra capacitor (UC) and battery energy storage system (BESS). The area 2 comprises of hydrothermal power system. The gains of the PID controller with derivative filter are optimised by using integral time multiply absolute error (ITAE) criterion. The superiority of PIDF controller is demonstrated by comparing the dynamic responses with integral derivative (ID) and proportional integral (PI) controllers. The simulation results show that the performance of dynamic responses with PIDF controller is superior to others. Further, robustness analysis is performed by varying the system parameters and wind power variations. It is observed from the simulation results that the optimum gains of the proposed controller need not be reset even if the system is subjected to wide variation in loading condition and system parameters.

Design and analysis of BFOA optimised PID controller with derivative filter for frequency regulation in distributed generation system

In this article, a bacterial foraging optimisation algorithm (BFOA)-based proportional integral derivative controller with derivative filter (PIDF) is proposed for frequency regulation of multi source hybrid power system. Initially, a two area, unequal area power system with PIDF controllers, are considered. The area 1 comprises of reheat thermal power system incorporated with distributed generation (DG) system comprising of wind turbine generators (WTGs), diesel engine generators (DEGs), fuel cells (FCs), aqua-electrolyser (AE), ultra capacitor (UC) and battery energy storage system (BESS). The area 2 comprises of hydrothermal power system. The gains of the PID controller with derivative filter are optimised by using integral time multiply absolute error (ITAE) criterion. The superiority of PIDF controller is demonstrated by comparing the dynamic responses with integral derivative (ID) and proportional integral (PI) controllers. The simulation results show that the performance of dynamic responses with PIDF controller is superior to others. Further, robustness analysis is performed by varying the system parameters and wind power variations. It is observed from the simulation results that the optimum gains of the proposed controller need not be reset even if the system is subjected to wide variation in loading condition and system parameters.

Load frequency control of power system under deregulated environment using optimal firefly algorithm

Abstract In this paper, a novel Firefly Algorithm (FA) optimized hybrid fuzzy PID controller with derivative Filter (PIDF) is proposed for Load Frequency Control (LFC) of multi area multi source system under deregulated environment by considering the physical constraints such as Generation Rate Constraint (GRC) and Governor Dead Band (GDB) nonlinearity. As the effectiveness of FA depends on algorithm control parameters such as randomization, attractiveness, absorption coefficient and number of fireflies are systematically investigated, the control parameters of FA are tuned by carrying out multiple runs of algorithm for each control parameter variation then the best FA control parameters are suggested. Additionally, the superiority of the FA is demonstrated by comparing the results with tuned Genetic Algorithm (GA). To investigate the effectiveness of the proposed approach, time domain simulations are carried out considering different contracted scenarios and the comparative results are presented. Further, sensitivity analysis is performed by varying the system parameters and operating load conditions. It is observed from the simulation results that the designed controllers are robust and the optimum gains of proposed controller need not be reset even if the system is subjected to wide variation in loading condition and system parameters. Finally, the effectiveness of the proposed control scheme is evaluated under random step load disturbance.

DE optimized fuzzy PID controller with derivative filter for LFC of multi source power system in deregulated environment

Abstract In this paper, Differential Evolution (DE) optimized fuzzy PID controller with derivative Filter (PIDF) is proposed for Load Frequency Control (LFC) of a deregulated power system with multi-source power generation and interconnected via parallel AC/DC transmission links. To get an accurate insight of the LFC problem, important physical constraints such as time delay and GRC are considered. The performance of proposed controller is evaluated at all possible power transactions that take place in a deregulated power market. The improvement in dynamic performance of the power system with DC link in parallel with AC tie-line is also assessed. Further, sensitivity analysis is performed by varying the system parameters and operating load conditions from their nominal values. It is observed from the simulation results that the optimum gains of the proposed controller need not be reset even if the system is subjected to wide variation in loading condition and system parameters.