B. V. Sai Thrinath

Construct and Performance Investigation of a Hybrid ANFIS Controlled Islanded Micro-Grid

Monitoring solar power facilities closely is crucial for maximizing power output. This involves vigilant oversight to detect issues such as faulty connections, malfunctioning solar panels, and dust accumulation that hampers efficiency. To facilitate seamless integration with photovoltaic (PV) systems and pinpoint faults, this project unveils the hardware architecture of a smart grid home gateway. The proposed solution is an automated Internet of Things (IoT) based solar power monitoring system, allowing remote monitoring of solar power performance via the internet. Utilizing an Arduino-based system integrated with CT and Voltage sensors, the project measures and monitors various solar panel properties. Faults are identified by comparing the recorded voltage of the panels with the data from the Voltage sensor. The solution efficiently communicates power output to the IoT system over the internet, ensuring continuous monitoring of solar panel performance.

In this paper, a Wind-Driven Optimization (WDO) based design of a Six-Phase Induction Motor (SPIM) is presented, and it is compared to induction motors that have been traditionally designed and have the same rating. When it comes to the optimization of the design of a six-phase induction motor, a multi-objective function is taken into consideration. When compared to the conventional design motor, it has been shown that the wind-driven optimization-based optimal design yields considerably superior performance. Furthermore, the Finite Element Analyses (FEA) of every single design of a six-phase induction motor are described in this work. The purpose of this research is to determine which solution is the most cost-effective for a particular application by analyzing the performance of the motor. Additionally, in order to validate the validity of the suggested design, the quality parameters that were acquired from the WDO-based design are compared with the motor that was designed traditionally. When compared to a six-phase induction motor with ordinary control, the wind-driven optimization method for six-phase induction motors results gives a better performance like power density, efficiency, and operational power factors. With the proposed control technique, losses are mitigated by 6.7% as compared with conventional SPIM.

This research work presents an improved design of a bidirectional converter for EVs, specifically focusing on its buck and boost operations. The proposed design incorporates a switched capacitor-based double switch converter, which offers enhanced performance compared to conventional converters. The utilization of switched capacitors reduces voltage stress on switches and improves overall efficiency, making it well-suited for electric vehicle applications. Moreover, the inclusion of synchronous rectification enables zero voltage switching, further enhancing the converter's performance. The effectiveness of the design is verified through MATLAB simulations, demonstrating improved voltage gain and reduced switch stress in both voltage increasing and decreasing modes.