Engineering Commons^™

Reconfigurable, Reliable And Online Learning Enabled Memristive Neuromorphic Core Design For Brain-Inspired Computing, Nishith Nirjhar Chakraborty

Doctoral Dissertations

For several years, the von Neumann architecture has served as the foundation of contemporary computers due to its straightforward, cost-effective architecture for processing units and memory. However, this design encounters a significant impediment in meeting the growing demand for increased parallelism in complex computations. Additionally, the post-Moore's law era emphasizes the need for energy-efficient computing with fewer resources and reduced space. As a response to these challenges, researchers are actively seeking alternatives to the von Neumann architecture, with neuromorphic computing emerging as a promising candidate. Neuromorphic computing garnered attention initially for its ability to harness the parallelism inherent in bio-inspired …

Converter-Based Microgrid Testing Platform Development And Fault Detection Method For Inverter-Based Resources By Utilizing Instantaneous Power Theory, Nattapat Praisuwanna

Doctoral Dissertations

Renewable energy sources (RESs) are rapidly being installed into electric systems. Most RESs are inverter-based distributed generations (IDGs). To better manage energy from IDGs, microgrids will play a crucial role. However, microgrids that have high penetration of IDG will have modification in fault current levels and bidirectional power flow causing protective devices to misoperate, so the traditional protection system does not correctly function in the microgrids. Therefore, the integration of IDGs into the microgrids establishes some significant consequences on protection systems.

Overcurrent protection is widely utilized in the electric distribution systems today; however, it is sometimes difficult to distinguish between …

Hardware-Based Solutions For Improving Situational Awareness In Power Systems With High Renewable Integration, Yuru Wu

Doctoral Dissertations

This doctoral dissertation addresses the evolving challenges in power system frequency dynamics as the penetration of renewable energy sources increases, leading to a decrease in system inertia. The integration of these renewable sources, particularly those involving electronic inverters, introduces high-frequency harmonics and oscillations, necessitating enhanced accuracy and wideband measurement capabilities for effective monitoring and situation awareness in power systems.

The dissertation makes several significant contributions to this field. In Chapter 2, the dissertation introduces a review of the related literature, detailing the development and application of monitoring devices in modern power systems. Chapter 3 proposed a variety of hardware devices …

Power System Electromagnetic Transient Simulation Using A Semi-Analytical Approach, Min Xiong

Doctoral Dissertations

This dissertation investigates efficient power system electromagnetic transient (EMT) simulations using a semi-analytical approach.

First, based on state-space equations of system EMT models, a semi-analytical solution (SAS) is acquired using the Differential Transformation Method (DTM). The DTM can efficiently derive the SAS of any linear or nonlinear system as a power series in time in a recursive manner using well-developed transformation rules. A high-order SAS allows a large time step to speed up the simulation while maintaining the same level of accuracy. Also, a variable time step approach is proposed to further improve its efficiency. Case studies on multiple systems …