In this paper an artificial intelligent control based maximum power point tracking (MPPT) technique is presented for the solar PV (Photovoltaic) system. An intelligent ANFIS (adaptive neuro-fuzzy inference system) based controller is accomplished for the maximum power point tracking (MPPT) and the control of the converter. The hybrid controller structures can enhance the convergence and accuracy of the system. In this system configuration, a three-level SEPIC (single-ended primary inductor converter) topology is employed for DC/DC conversion with wide conversion ratio, continuous supply current, and high voltage gain. This converter topology can diminish the voltage stress across the switches and has a capability of maximum energy transfer from input to output. In this paper, an ANFIS controller based three level SEPIC topology is designed for 1.2kW solar PV system and the correspondent results are carried out in MATLAB-Simulink. © 2019 IEEE.

Sudha R

Department of Instrumentation

School of Electrical Engineering

Vellore Campus

Reddy D

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

&nbsp;

&nbsp;

VIT University

2019 Innovations in Power and Advanced Computing Technologies (i-PACT)

This paper presents a radial basis function network (RBFN) controller-based three-phase boost-type Vienna rectifier for a grid-tied wind energy conversion system. Boost-type Vienna rectifier is an ac/dc converter characterized by high power density and improved power factor in addition to maintaining a sinusoidal current with low total harmonic distortion at the input side. Such converter systems find its utility and application related to unidirectional power flow, such as data centers, telecommunication systems, and more appropriately for wind energy conversion systems. This paper involves the implementation of an RBFN-based control strategy for Vienna rectifier to ascertain the ability of the proposed strategy to obtain enhanced performance of a wind energy conversion system. The choice of the RBFN for the control of the rectifier system stems from its inherent capability to ensure better dynamic control notwithstanding its capability to reduce the design complexities during the network training phase. Simulation is carried out using MATLAB Simulink for a 1-kW standalone and grid-tied wind energy conversion system. This paper involves carrying out the detailed analysis and results for different wind velocities under standalone and grid-tied conditions. © 2018 IEEE.

Fulltext

IEEE Access

Design of RBFN Controller Based Boost Type Vienna Rectifier for Grid-Tied Wind Energy Conversion System

This paper presents a fuzzy logic controller (FLC) based 3-π grid-tied solar Photovoltaic aimed at grid side for change in voltage at CPI (common point of interface) by means of a DC link voltage control which is adaptive in nature. In this, boost converter with MPPT (Maximum power point tracking) procedure is used to pull out solar energy from solar PV module and feed the DC link of PV (photovoltaic) inverter. The VSC (voltage source converter) enables PV inverter to feed the power to the main grid. The proposed MPPT technique provides better dynamic performance than conventional MPPT technique under an abrupt change in voltage at CPI. The proposed FLC MPPT based solar PV system is modeled and results are validated in MATLAB/SIMULINK. © 2017 IEEE.

2017 Innovations in Power and Advanced Computing Technologies (i-PACT)

A fuzzy logic MPPT controller based three phase grid-tied solar PV system with improved CPI voltage

Electric Power Components and Systems

A Sustainable Solar Photovoltaic Energy System Interfaced with Grid-Tied Voltage Source Converter for Power Quality Improvement

In this paper, a radial basis function network-based single maximum power point tracking (MPPT) control algorithm for a hybrid solar and wind energy system is designed and analyzed for standalone and grid connected applications. The extraction of maximum power from the intermittent and erratic nature renewable energy sources is the main target in the hybrid renewable energy system. In the literature, many researchers developed an individual MPPT control algorithm for solar and wind energy system, which in turn increases the number of control algorithms in a hybrid system. In this paper, a single MPPT controller is proposed to extract maximum power from both the sources simultaneously. The performance of the proposed MPPT control algorithm is analyzed in both standalone and grid connected modes, under different weather conditions. The hybrid renewable energy system is designed by considering 560-W photovoltaic system and 500-W wind system with the conventional boost converter, and it is simulated in MATLAB/Simulink environment to analyze the performance of the proposed MPPT controller. © 2017 IEEE.

Journal	Data powered by Typeset2019 Innovations in Power and Advanced Computing Technologies (i-PACT)
Publisher	Data powered by TypesetIEEE
Open Access	0