Design and Analysis of Multiport DC-AC Converter with DPPC for BESS Integrated PV Systems by using FLC (original) (raw)
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Design and Performance Analysis of Grid Connected Solar Power System by Fuzzy Control Algorithm
International Journal of Recent Technology and Engineering
In this paper we propose the fuzzy logic controller based solar fed grid via various loads. Normally present situation solar power play a vital role to meet the load demand. Solar power is the free from pollution and cost free fuel so in this paper I propose the solar based grid integrated framework, it consist of dc-dc boost converter, 3-phase voltage source inverter and fed to grid via various loads. MPPT based fuzzy logic controller is used to obtain the maximum power from the solar. But our proposed solar generation is intermittent in nature so before supplying this power to the load as well as grid we can control and enhance the power quality by utilizing FLC. This FLC control scheme effectively controls the harmonics developed in the grids. Current harmonics and Voltage flickers developed in the PV integrated grid due to non linear loads and critical loads present in the network. The proposed system is verified in MATLAB/SIMLINK.
International Journal of Engineering Research and Technology (IJERT), 2021
https://www.ijert.org/fuzzy-logic-based-power-quality-improvement-and-pv-power-injection-by-dstatcom-with-variable-dc-link-voltage-control-from-rsc-mlc https://www.ijert.org/research/fuzzy-logic-based-power-quality-improvement-and-pv-power-injection-by-dstatcom-with-variable-dc-link-voltage-control-from-rsc-mlc-IJERTCONV8IS16033.pdf The study proposes a method to optimize dc-link voltage of Distribution Static Compensator (DSTATCOM) based on load compensation requirement using Reduced Switch Count Multi-Level Converter (RSC-MLC)integrated with Photo-Voltaic (PV) system. The proposed method is capable of compensating reactive power, unbalance and harmonics demanded by three phase unbalanced and non-linear loads connected to the distribution side, leading to improvement of power quality. It is also capable of providing real power support to the load and thus prevents source from getting over loaded whenever required. the maximum power point tracking (MPPT) of PV panels is achieved by using Perturb and Observe (P & O) algorithm. In this project, the THD of the system is observed with a D-STATCOM with PI controller and without any compensators. The effect of replacing DC link by a Photo voltaic (PV) system is to be observed. In this project, conventional PI controller is replaced by a fuzzy logic controller and the THD of the system is observed with and without PV system. The performance of these controllers is compared, and suitable controller is proposed to increase power quality of system when renewable energy sources are introduced into the system. The whole work is to be performed in MATLAB/SIMULINK.
IRJET, 2022
As a result of the recent surge of interest in renewable energy, scientists have made great strides in developing effective technologies for converting renewable energy. This includes traditional power grids, alternative energy sources, and battery packs. This research proposes partial power conversion (PPC) between two DC buses as a novel AC/DC hybrid multi-port power routing(MPPR) system. Power from one source, such as a photovoltaic array, is converted into another, such as a series-connected DC bus, only when needed. This is known as Partial Power Conversion. Two DC voltage buses and a PV port are included in this setup. Grid-connected inverters have a high-voltage ride-through (HVRT) feature that allows them to function normally even during a grid voltage surge. PV ports can utilise maximum power point tracking (MPPT) technology. Because just a small amount of power from the PV panel is allowed to flow to the series- connected DC bus, and because constant DC voltage is maintained with Fuzzy logic control (FLC), the PPC-based PV conversion feature achieves lower loss than full power conversion (FPC) for PV. MATLAB/Simulink simulations are used to produce the results.
Asymmetric Fuzzy Logic Controlled DC-DC Converter for Solar Energy system
In this paper, a controlled voltage system for a solar energy source is presented by a new command called fuzzy logic controller (FLC) via a DC-DC converter. The fuzzy logic control is selected due its performance and efficiency even for nonlinear systems such as the DC-DC converters. A simulation with MATLAB SIMULINK environment of the FL control system, compared with a classical PI controller, is presented at the end of the paper to illustrate the good behavior of the control.
International Journal of Scientific Research in Science and Technology, 2022
In this review, a multifunctional Voltage Source Converter is utilized related to anAdaptive Neuro fuzzy inference System controller (ANFIS) to deliver a sun oriented Photograph Voltaic (PV)- battery energy storage based microgrid (VSC). This framework removes greatest power from a PV exhibit while additionally giving reactive power compensation, harmonics decrease, grid current adjusting, and a smooth progress from Grid Connected (GC) to Stand-Alone (SA) mode. This framework consequently changes to SA mode when the gridfails, ensuring that the load is provided without interference. At the point when the framework is reestablished, it changes to GC mode consequently. The VSC with ANFIS regulator capacities in current control in GC mode and voltage control in SA mode. This framework is fit for separating the best power from the sunlight based PV cluster whether or not it is in GC or SA mode. The charging and releasing of the battery is constrained by a bidirectionaldc–dc converter. It sets the dc-connect voltage to the most extreme power point voltage of the PV exhibit. Assuming the battery is feeling the loss of, the control is right away moved to VSC for greatest power extraction from the PV cluster.
This paper presents a combination between a fuzzy logic control (FLC) and a predictive direct power control for multifunctional grid connected photovoltaic (PV) system, to solve the oscillation problem in the DC link voltage of the inverter caused by the fast irradiation changing. The whole system consists of a PV system which interface a DC-AC inverter, a FLC maximum power point tracking (MPPT) algorithm has been adopted to operate the DC-DC converter at the MPP. The predictive control strategy is applied to the DC-AC inverter with FLC in its voltage control loop to improve the power exchange between the grid and the PV system. Simulation results have been verified through MATLAB/Simulink software for the purpose of giving the effectiveness of the suggested control against existed controllers. This is an open access article under the CC BY-SA license.
Simulation of solar PV system by FLC based bidirectional DC-DC converter for DC loads
E3S Web of Conferences
Solar energy is among the abundant forms of energy, it is very important to make the best use of it. But intermittent nature of solar energy makes PV generation unreliable at times. The use of a battery as an energy storage device can help to mitigate this problem to some extent. A Bidirectional DC-DC converter must be used to connect the battery to the DC link in order to maintain a steady voltage. DC link then connected to a load. In this paper, P&O MPPT technique used to get maximum power from PV array. Fuzzy logic control is used for the effective control of Bidirectional DC-DC converter to charge and discharge battery to keep the DC link voltage constant. Simulations are carried out using MATLAB and outcomes are analysed.