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.

Sudha R

Department of Instrumentation

School of Electrical Engineering

Vellore Campus

D. Reddy

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.

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VIT University

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

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.

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

An Artificial Intelligent MPPT Controller Based Three Level SEPIC Topology for 1.2kW Solar PV System

In the present world, the solar photovoltaic system plays an essential role in the modern power systems due to inertialess, abundant and freely available in nature. But the intermittent nature of the solar photovoltaic system is unable to provide continuous power supply. The proposed system should be highly reliable, secured with sufficient quantity and quality. Providing continuous supply is a great challenge in the present power system. One such solution is to bring the reliable and flexible power by introducing the solar photovoltaic, battery storage and fuel cell system. In this work, the integration of Solar Photovoltaic, battery with a fuel cell system is considered to provide the seamless power continuously. The solar power is extracted using fuzzy control based maximum power point tracking method which can be fed with DC bus using the boost converter. The battery storage system is connected to the DC bus using the bi-directional converter. The switching pulses for the bi-directional converter are generated using a PI controller based on the battery state of the charge. The Proton Exchange Membrane (PEM) fuel cell is used as a secondary source to maintain the flexible power at the DC bus system. The DC bus power can be fed to the load and the excessive power can be integrated with the grid through the synchronization process. The proposed structure stabilizes the DC link voltage and the grid voltages even under dynamic conditions of intermittent solar power and load variations respectively. This can be accomplished utilizing the battery storage with a bi-directional converter and PEM fuel cell. The load sharing from the grid and the grid connected hybrid generation through the voltage source converter operation is performed and the load is stabilized. The simultaneous change of both the performance of grid synchronization and DC link stabilization of planned hybrid system is simulated using MATLAB/Simulink. © 2018 the Author(s). All rights reserved.

Fulltext

Journal of Green Engineering

Fuzzy Controller Based Solar PhotovoltaicSystem, Fuel Cell Integration forConditioning the Electrical Power

In this paper RBFN (radial basis function network) MPPT controller based 3-f boost typeVienna Rectifier is designed for wind energy conversion system (WECS). The 3-Φ boost type Vienna rectifier is accomplished to convert AC/DC conversion from the renewable energy systems of AC generating units and/or fromAC mains. This kind of rectifiers is very impressive where a unidirectional power flow is adequate in the network with high power density. The AC/DC rectifier provides a sinusoidal input current, improved power factor and low ripple at the input side. An RBFN controller based proposed system configuration is designed for 1kW wind energy conversion system in MATLAB/Simulink with a step up voltage of 230 V to 400 V at a turbine base speed of 12 m/s and the results are validated. The performance analysis of an RBFN controller based circuit topology is compared with the fuzzy logic-based SVPWM (space vector pulse width modulation) controller. © 2018 the Author(s).

Comparative Analysis of RBFN andFuzzy-SVPWM Controller Based Boost TypeVienna Rectifier for 1kW Wind EnergyConversion System

Electric Power Components and Systems

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

IEEE Transactions on Power Electronics

A Simulated Annealing Global Maximum Power Point Tracking Approach for PV Modules Under Partial Shading Conditions

2016 13th International Conference on Power Electronics (CIEP)

Maximum power point tracking techniques in photovoltaic systems: A brief review

IEEE Transactions on Sustainable Energy

A Three-Phase Grid Tied SPV System With Adaptive DC Link Voltage for CPI Voltage Variations

Solar photovoltaic (PV)-based stand-alone systems have evolved as a promising solution to the issue of electrification in areas where the grid is not available. The major challenges in designing such systems are as follows: 1) extraction of maximum power from the PV array; 2) protection of the battery from overcharge and overdischarge; 3) dc to ac conversion; and 4) provision for adequate voltage boosting. As multiple objectives are required to be satisfied, the existing schemes for stand-alone systems require a minimum of three converter stages, leading to considerable reduction in the reliability and efficiency of the system. In order to address this issue, a two-stage stand-alone scheme consisting of a novel transformer-coupled dual-input converter (TCDIC) followed by a conventional full-bridge inverter is proposed in this paper. The proposed TCDIC can realize maximum power point tracking and battery charge control while maintaining the proper voltage level at the load terminal. The small signal mathematical model of the TCDIC is derived. A suitable control strategy for the proposed TCDIC is devised. The operation of the scheme is verified by performing detailed simulation studies. A laboratory prototype of the scheme is developed. Detailed experimental validation of the scheme utilizing the laboratory prototype is carried out to confirm the viability of the scheme. © 1982-2012 IEEE.

IEEE Transactions on Industrial Electronics

Two-Stage Solar Photovoltaic-Based Stand-Alone Scheme Having Battery as Energy Storage Element for Rural Deployment

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

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