Sabha Raj Arya

Comparative study of compensation techniques of DVR with composite observer

Dynamic Voltage Restorer (DVR) is able to protect critical loads against source voltage power quality problems in effectively nature. In this paper, in phase control and minimal energy control technique has been discussed under balanced, unbalanced and distorted non-ideal ac mains. The algorithm based on composite observer has been proposed for both techniques. The three wire distribution system is simulated using MATLAB environments. The performance results are obtained under various supply voltage disturbances. After study, recorded observations are found satisfactory according to IEEE guidelines.

Nonlinear Adaptive Volterra Filter for Control of Distribution Static Compensator

This paper presents nonlinear adaptive Volterra filter for control of three-phase four wires Distribution Static Compensator under mixed type linear and nonlinear load. The proposed adaptive filter identifies and measures active and reactive weights of the fundamental components of load currents. These weights are used to generate the reference signals such that the currents drawn from a supply are close to balanced and sinusoidal. The performance of the proposed control algorithm is observed under nonlinear load in the laboratory environment. The test results are found satisfactory as total harmonic distortion in supply currents are within the 5% levels specified by the IEEE Standard 519-1992.

Distributed power generation system using PMSG with power quality features

In this article, performance of wind based power generation system is discussed using permanent magnets synchronous generator (PMSG) with power quality issues. Developed simulink model includes a model of turbine based on wind technology, model of synchronous generator based on permanent magnet and a model based on drive train. The developed power through the wind farm is supplied to the three phase linear and non-linear load. The power electronics based shunt connected custom power device is used to reduce the power quality problems. A DSTATCOM injects a compensation current at the point of common interface to correct the power conditioning issues. The main aim of this paper is to reduce the harmonics and compensation of reactive power because of non-linearity in loads and manage required voltage at the point of common interface (PCI). This Distribution Static Compensator is controlled through the kernel incremental meta learning algorithm. A simulation using MATLAB/ Simulink environment have been carried out to demonstrate the power generation system and control approach used for the power quality features.

Features of Power Quality in Single-Phase Distributed Power Generation Using Adaptive Nature Vectorial Filter

This paper presents the new controller for voltage and frequency control (VFC) of two-winding single-phase induction generator. It provides coordinated control of battery energy storage system (BESS) and dump load during the mismatch of power between loads and generator using VFC loop. It provides protection against overcharging of BESS. For this purpose adaptive vectorial filter (AVF) is implemented to operate single-phase induction generator in standalone mode of operation for power quality features. The unique feature of this filtering technique is its simplicity and no other analogy filters are required to produce the reconstructed signal of fundamental frequency. This procedure uses the vectorial natures of the single-phase input signal, which is decomposed by shifting property in the α–β orientation frame in order to get the diverse harmonic constituents. The design and analysis of AVFs for the proposed system is carried out in order to find the required performance. The proposed control method is evaluated by simulations in MATLAB/Simulink followed by experimental validation in laboratory for signifying its capability to execute different harmonic constituents under an extremely distorted generator current. Apart from control method, design of generator with finite-element method and its electromagnetic properties are also discussed.

Enhancement of PQ Using Adaptive Theorybased Improved Linear Tracer SinusoidalControl Strategy for DVR

This paper presents the Adaptive Theory based Improved Linear Tracer Sinusoidal (ATILS) Control Strategy for PQ Enhancement using DVR in the Distribution System. The proposed DVR effectively mitigates voltage sag/swell, unbalanced voltage sag/swell for linear loads along with harmonic compensation using ATILS Control Strategy. The DVR consists of voltage source converter (VSC), transformer with capacitor. The main advantages are more efficiency, reliability and its effective control of reactive power. The ATILS Control Strategy is used for extraction of fundamental reference load voltages quickly and accurately to mitigate PQ problems. The proposed ATILS Control Strategy for DVR is modeled using RT-LAB and MATLAB/SIMULINK and its performance is verified for various Power Quality (PQ) problems.

Harmonic mitigation technique for DSTATCOM using continuous time LMS adaptive filter

This paper propose an adaptive filter based on continuous time LMS for the distribution static compensator. The Simulink model is constructed in MATLAB software of the complete system along with adaptive control algorithm and rectifier type nonlinear load. It is seen from the test results that the presented LMS adaptive filters accurately estimate the active component weight of the currents from the given nonlinear currents. These weight components are utilized to produce reference currents and subsequently switching pulses for the voltage source converter of the compensator are generated. This three-phase with four-wire DSTATCOM system provides necessary compensation in terms of harmonic current, reactive power and neutral current as well.

Control of DVR using SPLL strategy in distribution system

This paper discuss control of DVR using SPLL (Software Phased Locked Loop) strategy for compensation of PQ disturbances in power DS (Distribution System) network. Using this control strategy, fundamental reference load voltages are estimated using magnitude of fundamental active and reactive components of source voltages. The SPLL strategy based DVR is modeled in MATLAB R2013b environment using SIMULINK to mitigate voltage related PQ Issues are sag/swell, unbalance and harmonics. The MATLAB based DVR model is used for simulation under dynamic and static conditions. Simulation performance of SPLL based DVR is found that satisfactory performance under time varying linear/non-linear loads.

Experimental evaluation of interleaved DC-DC converters for maximum PV power tracking

The interleaved DC-DC converter reduces the requirement of ripple filter, the conduction losses, and size due to deliberate phase-shifted in switching signals in each period. In this paper interleaved DC-DC Converters are employed for extracting power from PV modules. The control algorithms namely Perturb and Observe (P&O) and Incremental Conductance (InC) methods are implemented using SimPower System toolbox of MATLAB and DSP controller (dSPACE1104). The performances of these DC-DC converters are experimentally evaluated and comparative studies are carried out under various loading conditions.

Variable step learning based control algorithm for power quality in PMSG based power generation system

In this article, Power generation system model includes a turbine model of wind system, PMSG model, and a Simulink model of drive train. The generated power through the wind power plant is fed to three phase linear and non-linear load. The power electronics based shunt connected custom power devices are used to suppress the power quality problems at constant speed turbine. The objective of this paper is to compensate harmonic and reactive power due to non-linearity of loads and maintained rated voltage at the point of common interface (PCI). This shunt connected compensator as a DSTATCOM is controlled through variable step learning based adaptive control algorithm. The simulation waveforms show the satisfactory performance of PMSG System and the control algorithm.