Diagnosis of Air-Gap Eccentricity Fault for Inverter Driven Induction Motor Drives in the Transient Condition
Modelling and Simulation Study of a Helicopter with an External Slung Load System
Comparative Study of Single Phase Power Inverters Based on Efficiency and Harmonic Analysis
Trichotomous Exploratory Data Analysis [Tri–EDA]: A Post Hoc Visual Statistical Cumulative Data Analysis Instrument Designed to Present the Outcomes of Trichotomous Investigative Models
LabVIEW Based Design and Analysis of Fuzzy Logic, Sliding Mode and PID Controllers for Level Control in Split Range Plant
Renewable energy resources are the new generation challenges all over the world. The stochastic nature of these resources is considered as a barrier against using of them. This nature causes a lot of disturbances for power system operation. Also the stochastic nature of wind generation affects the power quality and the reliability of the system. FACTs devices are used in several researches to enhance the renewable energy generators specially wind generators to compensate its stochastic nature. In this paper, Shunt FACTs devices are used to enhance the dynamic response of voltage under the disturbance caused by wind generator. Proportional-Integral-Acceleration (PIA) as a new controller in this application is studied to enhance the performance of FACTs devices associated with renewable energy resources. Harmony Search Algorithm (HSA) optimization technique is used to tune the parameters of the controller. Finally, comparison of the PIA controller is carried out with the classical Proportional-Integral controller (PI) to verify the effectiveness of the PIA to enhance the power system operation with stochastic wind generator nature.
This paper shows a novel use of Fuzzy logic control based adaptive control methodology with the reason for improving the Low Voltage Ride Through (LVRT) capacity of grid associated Photo Voltaic (PV) power plants. The PV arrays are associated with the Point of Common Coupling (PCC) through a DC-DC boost converter, a DC-link capacitor, a grid side inverter, and a three-phase step up transformer. The DC-DC converter is utilized for a more extreme power point following operation in light of the partial open circuit voltage strategy. The grid-side inverter is used to control the DC-link voltage and terminal voltage at the PCC through a vector control plot. The adaptive Proportional-Integral (PI) controller is used to control the power electronic circuits because of its quick convergence. The proposed controller refreshes the PI controller gains online without the need to fine tune or optimize. For practical reactions, the PV power plant is associated with the IEEE 39-bus New England test system. The effectiveness of the proposed control strategy is contrasted and that got utilizing a PI controller- based an ideal PI controller considering subjecting the system to symmetrical, unsymmetrical faults, and unsuccessful reclosing of circuit breakers because of the presence of lasting blame. The validity of an adaptive control system is widely checked by the simulation results.
Multilevel inverters are popular in high voltage applications and have become an important concept of research. The design and operation of these inverters are getting simpler and attaining improvement due to the advances in power semi conductor devices and modulation techniques. Multilevel inverters are known for their ability to produce a synthesized AC output voltage with negligible harmonic distortion. This paper compares three different topologies on Multilevel inverters- Neural Point- Diode Clamped Multilevel Inverter, Flying Capacitor Multilevel Inverter, and Cascaded H-Bridge Multilevel Inverter. The performances of inverters are compared in terms of number of IGBT switches, capacitors, diodes, DC voltage sources required for each configuration and harmonic distortion in output voltage. All the inverters are designed and simulated on MATLAB / SIMULINK platform and the results are presented.
The proposed system manages the discontinuous way of the energy created by the PV exhibit and it likewise gives control quality change. The PV array is incorporated through a DC-DC help converter and controlled utilizing a Most Extreme Power Point (MPPT) following calculation to get the greatest power under shifting working conditions. The Battery Energy Storage System (BESS) is incorporated to the Diesel motor Generator (DG) set for the planned load administration and power stream inside the system. The induction based control calculation is utilized for load adjusting, harmonic end and reactive power remuneration under three phase four-wire straight and nonlinear burdens. A four-leg Voltage Source Converter (VSC) with BESS additionally gives nonpartisan current pay. By using ANFIS controller the THD can be reduced.
This paper presents the controlling actions on hybrid Wind-Solar Photovoltaic system using an energy storage device. Modeling of the proposed hybrid system is done regarding the varying wind speed and solar isolation variation. Individually, the wind energy system and solar photovoltaic systems are linked to a common DC link, where storage device is committed to controlling the voltage parameter. The power associated with wind turbine is produced by the Permanent Magnet Synchronous Generator (PMSG). Maximum Power Point tracking Technique (MPPT) is cast-off here to obtain power points at peak level in-turn increase the efficiency of the Solar Photovoltaic (SPV) system. The simulation of MPPT algorithm is done by MATLAB/SIMULINK. Here pulses are provided to boost converter using Perturb & Observe approach. The ripples in the system try to mitigate by means of LC filter. The controlling action of the proposed hybrid system and its modeling is verified by simulating the parameters.