Voltage Control Strategy for Three-Phase Inverter Connected Standalone Wind Energy Conversion Systems

Usually, the electric field can be determined for a simple physical system using analytical method in a GIB. But for a complex system, it is very complicated to find out and so, numerical methods like FDM, FEM, CSM are employed. Movement pattern i.epeak radial movement simulation done for Al and Cu particles for field calculation using CSM for levels of voltages namely 75kV, 100kV, 132kV, 145kV, in a 1-ϕ GIB.For Simulating Aluminium and Copper particles movement, peak radial and axial movements needs thorough particle dynamics understanding. Simulation is done by taking into accountmany forces like drag, gravitational and the forces of electrostatic in nature on particle and a mathematical modelling was done. Detailed analysis was made, and, in this paper, all the results of simulation are shown.

Effect of electric field on movement of conducting particles in single phase GIB

Subrahmanyam¹,

Reddy

Deshmukh³

et al. 2020

Fuzzy based controller for a hybrid electric vehicle with MMC and SRM drive

Sudhakar¹,

Manjusree

Teja

2020

In this article a novel fuzzy control based Hybrid Electric Vehicle (HEV) with Modular Multi Converter (MMC) fed Switched Reluctance Motor (SRM) is investigated. In this proposed approach MMC fed to the SRM motor with integration of Full Bridge (FB) converter. FB switching pattern operates with intelligent fuzzy control algorithm. The MMC inverter fed SRM drive HEV has been successfully simulated with MATLAB software package. The simulation results are proven that the harmonics are mitigated by employing proposed method. Performance characteristics of SRM motor such as, phase voltage, line voltage, speed, torque, rotor current, load torque is obtained, and these are compared with conventional methods i.e. current converter operated HEVs and solar (PV) integrated HEVs. It can be observed from the reported results that the proposed method is providing satisfactory output results.

Performance enhancement of EV charger with Cuk converter and ABC algorithm

Sudhakar¹,

Manjusree

Teja

2020

In this manuscript, an enhanced performance of Electric Vehicle (EV) charger (battery) by adopting Bridge Less (BL) Cuk converter and Artificial Bee Colony (ABC) algorithm is investigated. Minimum numbers of switches are employed in this proposed methodology to charge the battery with optimum cost. Steady state input voltages and currents are obtained even though the EV charger operates with unbalanced load i.e. operated in underload, nominal load, or overload. It maintains constant battery parameters even under unbalance in input supply also. Robustness is achieved by operating BL-Cuk converter with ABC algorithm even with variation of 50% rise or decay in input voltage. Proposed technique utilizes reduced number of switches, so conduction losses are less and no need of DC link capacitor. Hence, balance voltage appears across the capacitor over the conventional EV charging approaches. Fly back converters are introduced to synchronize the AC supply, Cuk converter and EV charger.