Search

Three phase shunt active power filter (SAPF) using multilevel inverter (MLI) is implemented in this paper for a grid integrated solar photovoltaic (PV) system for eliminating the harmonics. The objective in this work is to develop and regulate the grid integrated PV system for mitigation of harmonics with incorporation of SAPF. The PV integrated SAPF delivers the active/reactive power to the grid to reduce the harmonic contents. Harmonic compensation ability of SAPF is mainly achieved by employing suitable control technique to estimate the reference current signal. Here, adaptive artificial neural networks (AANNs) like adaptive neuro-fuzzy interference system (ANFIS), Widrow–Hoff adaptive linear neuron (WH ADALINE) and Modified Widrow–Hoff adaptive linear neuron (MWH ADALINE) are employed for generating the reference current of VSI in the MLI. The control techniques are tested in MATLAB/SIMULINK as well as real-time OPAL-RT environments. It is noticed that proposed MWH ADALINE-based SAPF design shows enhanced performance to maintain the power quality (PQ) by restricting the distortion level below 5% as per the IEEE/IEC standard. [ABSTRACT FROM AUTHOR]

This paper examines the link between economic growth and fiscal deficit in India for the periods between 1970–71 to 2016–17 and 1970–71 to 2003–04. The study uses an autoregressive distributed lag (ARDL) bound testing model. To check for robustness, a fully modified ordinary least square is also used. The ARDL bound test confirms both long-run relationship between fiscal deficit and economic growth after accounting for capital formation, electricity consumption and inflation. We find that the fiscal deficit has an adverse impact on growth over both the periods. Therefore, implementation of FRBM Act, 2003 has not impacted fiscal deficit-growth nexus differently. [ABSTRACT FROM AUTHOR]

Fast detection of islanding is very important for effective operation and control in distributed generation (DG) penetrated distribution networks. The islanding detection techniques such as passive, active, communication, and hybrid have their own merits and demerits. This paper proposed wavelet transform (WT) and wavelet packet transform (WPT) based techniques for detection of islanding and fault disturbances in a microgrid consisting of resources like wind turbine generator, fuel cell (FC), and microturbine. Voltage signal is extracted at the point of common coupling (PCC) and is passed through these detection techniques to obtain the time-frequency multi-resolution analysis. Further, to validate the graphical study, performance indices (PIs) like standard deviation and entropy are calculated for the disturbance detection using suitable selection of threshold. A comparative analysis using WT and WPT is presented in the form of graphical simulation as well as in terms of PIs to analyse their effectiveness and robustness under different operating conditions. It is observed that WPT shows better detection capability in comparison to WT even under 20-dB noisy scenarios. [ABSTRACT FROM AUTHOR]