Frequency control of PV-connected micro grid system using fuzzy logic controller

Rajesh, T.; Gunapriya, B.; Sabarimuthu, M.; Karthikkumar, S.; Raja, Rameez; Karthik, M.

doi:10.1016/j.matpr.2020.10.255

Cited by 19 publications

(6 citation statements)

References 10 publications

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“…Consider the notations as follows, Now, from the research article [14][15][16], we study the taper relationship between 14 and 19. Therefore, since we get 16 as the data of taper relationship (Rt) = 16, and put it into the formula of taper ratio we get, 16=2000/(200-Dmin) Dmin=75 mm So that for initial condition we consider following dimension for CAD modelling.…”

Section: Resultsmentioning

confidence: 99%

A renovative design and fabrication of vortex bladeless windmill

Sudarshan

Bhavya

Manjesh

et al. 2023

J. Phys.: Conf. Ser.

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The issues produced withinside the traditional windmills instigate the development of vortex bladeless windmills. Vortex Bladeless is a vortex caused vibrations resonant wind generator. It harnesses wind strength from a phenomenon of vorticity referred to as Vortex Shedding. Basically, Bladeless era consists of a cylinder regular vertically with an elastic rod. The cylinder oscillates on a wind range, which then generates electricity through a trade system. In exclusive words, its wind generators which is not genuinely a turbine. In other words, wind turbines are not real turbines. In this current paper we have tried to upgrade the Vortex windmill which is more comparable to solar panels in terms of functionality and cost-effectiveness compared to everyday wind turbines and entire project uses less planetary area. Through the improvised model we look forward to produce 238.60Wh of power. The work is designed in such a manner that it can be portable i.e., can be carried from one place to another.

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Section: Resultsmentioning

confidence: 99%

A renovative design and fabrication of vortex bladeless windmill

Sudarshan

Bhavya

Manjesh

et al. 2023

J. Phys.: Conf. Ser.

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“…3 the fuzzy-based dataflow diagram with the set of steps used to find the cluster head node. There are several nodes available in the cluster of the vehicles and if it is stronger in terms of centrality C, then it performs more activity and can connects within a network [25]. The centrality of the cluster can be evaluated by using Eq.…”

Section: Proposed Systemmentioning

confidence: 99%

An Efficient and Intelligent System for Controlling the Speed of Vehicle using Fuzzy Logic and Deep Learning

Yadav,

Goyal

2024

IJACSA

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Vehicle collisions are a significant problem worldwide, causing injuries, fatalities, and property damage. There are several reasons for the collapse of vehicles such as rash driving, over speeding, less driving skills, increasing number of vehicles, drunk and drive, etc. However, over speeding is one of the critical factors out of all the reasons for vehicle collisions. To address the critical issues, the current article proposes a Fuzzybased algorithm to prevent and control the speed of the vehicle. The major objective of the proposed system is to control the speed of the vehicle for proactive collision avoidance. Deep learning and fuzzy system provide better integrated approach for the controlling of the speed and avoid vehicle collision. Fuzzification of the speed variable provides an advanced or viable solution for speed control. The current research used RNN and other deep learning algorithm to predict the traffic and identify the traffic frequency. The traffic frequency in a timeseries frame provides the frequency of the traffic within a time frame that can be detected by using involvement of IoT.

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“…For example, frequency control for a microgrid using the stored energy in electric vehicles (EVs) is studied in [23,24]. Some researchers have discussed various algorithms and controllers, for example, frequency control of PV connected microgrids using fuzzy logic controllers [25], and frequency control for power systems with high penetration of RESs using a stochastic fractal optimizer [3]. Figure 1 summarizes the various methods discussed in literature for frequency regulation in the presence of RESs.…”

Section: Introductionmentioning

confidence: 99%

Computational Methods to Mitigate the Effect of High Penetration of Renewable Energy Sources on Power System Frequency Regulation: A Comprehensive Review

El-Bahay

Lotfy

El‐Hameed

2022

Arch Computat Methods Eng

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Depletion of fossil fuel, global warming, and their environmental pollution clarify the importance of renewable energy sources (RESs). However, high penetration of RESs decreases power systems inertia, hence, the system becomes more sensitive to disturbances. This results in problems with frequency control because it increases the rate of change of frequency and may lead to load shedding or tripping of generating units. This paper aims at introducing a comprehensive survey of the effects of the increase in RESs on power system inertia and frequency. Different models of wind-driven and photovoltaic systems used for frequency control studies have been introduced. The up-to-date effective frequency regulation methods which can be used with highly RESs penetrated power systems have been revised and compared. These methods include virtual inertia-based methods depending on energy storage devices, de-loading of renewable energy sources, various inertial response techniques and demand response at load section including under frequency load shedding and electric vehicles. Extensive comparisons among these methods have been carried to guide power system designers, operators, researchers and grid codes taskforces in proper incorporation of RESs for frequency regulation of power systems.

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Frequency control of PV-connected micro grid system using fuzzy logic controller

Cited by 19 publications

References 10 publications

A renovative design and fabrication of vortex bladeless windmill

A renovative design and fabrication of vortex bladeless windmill

An Efficient and Intelligent System for Controlling the Speed of Vehicle using Fuzzy Logic and Deep Learning

Computational Methods to Mitigate the Effect of High Penetration of Renewable Energy Sources on Power System Frequency Regulation: A Comprehensive Review

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