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Feeder Protection From Over Load Situationsthrough IoT
Abstract
A bus bar in an electrical power distribution refers to bulky segments of copper or aluminum that carry out electricity within a switchboard, distribution panel and substation. In this task, bus bar can be protected from the over current condition. Mechanical instruments disappointments have numerous causes and one of the primary causes is over burden. The crucial of the distribution transformer is anticipated to work at assured particular current, if that current passing through that feeder is more than the rated then instantaneously the feeder may damaged because of over load, through this projected work we are departing to defend the bus bar from heavy load condition. In this work, more loads are applied to the circuit to produce high current. So that the current will be increased. At whatever point the over current happened the circuit will be tripped. Here, one relay is utilized which will control through our microcontroller to trip the circuit. Whenever over load is occurred relay will trip the whole circuit and buzzer will on control through our microcontroller to indicate over load. Whenever over load occurs micro controller automatically triggers the load to OFF and data will alert through IoT.
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Many of the Power Flow Controlling Devices are mostly used in the Transmission Lines in order to monitor the real as well as reactive power-flow variations. In this work provide an innovative power flow controlling device such as Distributed Power Flow Controller, this device also belongs to the FACTS family. This device is emerged from the Unified Power Flow Controller, there is a small differentiation between both these devices that is the common dc-link. In case of DPFC there is no existence of the dc link which connects both the converters. By design a DPFC device in MATLAB/Simulink to analyze the transmission line parameters.
: This manuscript explores the novel Modified Ant Lion (MALO) Optimization to resolve the load dispatch problem optimally. The primary role of Optimal Economic Load Dispatch (OELD) is to obtain an efficient and economical operation of a power system network. The main aim of performing the OELD is for minimizing the fuel cost of the real power generation when the losses are neglected. An Modified Ant Lion (MALO) Optimization is a narrative nature-inspired algorithm and apes the tracking mechanism of ant lions in life. The random walk of ants, building traps, entrapment of ants in traps, catching preys, and rebuilding traps are the five main steps involved in the hunting process. The principal objective of OELD is to curtail the total generation cost while honoring effective constraints of accessible generating resources. The anticipated Modified ALO technique is utilized on three and six unit test system to various load demands for solving the load dispatch problem economically. A statistical result clarifies that the anticipated MALO method has lowest fuel cost and superior in quality of solution than other optimization techniques accounted in most latest literature.
: Imperativeness increase of network to compelled districts is connected with specific and modest. Enabled examination abuse age manageable power.Test displays execution an unbiased miniaturized scale matrix topology relying upon a lone. Miniaturized scale matrix structure is empowered with various maintainable power sources to be explicit breeze and sun orientated PV group. Regardless, vitality amassing structure in like manner saves the trustworthiness. Upside blurred trading key oversee. Realized supply. Breeze daylight essentially based hotshots resources identified with association.Appliedon associate with rouse quick vitality steadiness underneath exact conditions.Nearby the system compromise, the VSC moreover can possibly slight the vitality extraordinary inconveniences, for example, consonant streams, load altering and voltage principle. By utilizing cushioned method of reasoning controller in this system to diminish the deviations inside the waveforms. A broad gathering copy is shown uncover all.
Agriculture is the most important back bone of India. Now a day's farmers are reduced because of various problems like water problem, real estate, technology etc. Here our proposed system is to make use of existing technology to improve the farming percentage, gardening and nursery in a smart, effective and accurate method. Our proposed design is an automatic smart monitoring and controlling field system based on IoT which is implemented with NI LabVIEW and NI myRIO interfacing device. NI LabVIEW is a tool for testing, automation, measurement and monitoring system. NI myRIO is an embedded hardware where sensors like Temperature sensor, Moisture sensor, Rain sensor, Humidity sensor, Motor and communication protocols are interfaced with the help of LabVIEW. In this paper, we proposed ground water harvesting though that rain water is stored in the water tank which can be used in future for sprinkling water when soil moisture is less. This proposed design is the best way of economical accuracy and low-cost maintenance system. The concept of IoT in this paper is to monitor the status of the field like water level indicator in the tank, temperature of the field, to know the moisture of the field and detection of rain by using mobile phone or PC or Tab form any part of the world. This research will help the small-scale, mid-scale and high-level forming lands and it will increase the yield percentage and save the agriculture.
Accurate and fast testing of digital circuits is very much essential in real time applications. Hardware analysis of digital circuits, which is otherwise very tedious and time consuming, is attempted using the artificial intelligence technique: Genetic Algorithms (GA). GA is used to find an input sequence to a digital circuit for testing, as it reduces the hardware utilization, complexity and computational time of the circuits. All the GA processes are simulated and implemented by using Xilinx 10.1 and SPARTAN 3E.
The main aim of this project is multilevel inverter associated UPQC for power quality enhancement. UPQC having 2 controllers namely series controller&another one is shunt controller. These controllers are associated with the DC link capacitor. Dc voltage is produced by PV source. In this project multilevel inverters are used in series&shunt controller for producing accurate sinusoidal wave shape. The series controller is connected at grid side for grid power quality improvement. In this project grid side voltage sag/swell reduced by series controller. The shunt controller regulate the reactive power compensation as well as reduced the load current harmonics. These controllers are regulated by expending synchronous reference frame theory (SRF). The advantages of proposed system is high efficiency&enrichment of quality power. The simulated results of proposed system is verified by MATLAB/Simulink environment.
An innovative control method to improve the system stability by most favorable proposed technique is distributed power flow controller (DPFC) based stabilizer is mentioned in this paper. The paper demonstrates the fundamental module, current injection method, mathematic modelling of DPFC. The function of the effort is to design an power oscillation damping(POD) controller for DPFC to damp out low frequency oscillations and to reduce the oscillations in active power and reactive power and also to improve the transmission voltage and transmission efficiency. The DPFC device is eliminates the common dc link between the shunt and series converters, and uses the transmission line to exchange active power and reactive power between converters at the third-harmonic frequency. Instead of using a large three-phase converter, the DPFC employs multiple single-phase converters (D-FACTS concept).This system was analyzed by using MATLAB/Simulink software.
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