Ankita Joshi

This paper provides a comprehensive review of dynamic control strategies for FACTS (Flexible AC Transmission Systems) devices, aligning with the “Dynamic Control Strategies for FACTS Devices in Modern Power Grids.” It addresses the critical role of FACTS in managing modern power grids, focusing on their ability to enhance power quality, stabilize voltage, and improve energy efficiency. As power systems evolve to incorporate renewable and distributed energy sources, the challenges of ensuring reliable and stable grid operations become increasingly complex. The review discusses how FACTS technology and dynamic control strategies are vital components in addressing these challenges. By regulating voltage profiles and power system stability, FACTS devices contribute to the efficient integration of renewable energy sources, aligning with the overarching theme of the review article. In essence, this review sets the stage for a deeper exploration of the dynamic control strategies that underpin FACTS devices’ contributions to the modern power grid’s reliability and efficiency, emphasizing their relevance and significance in the evolving energy landscape.

The evolution of wind energy production, especially in near and offshore farms, has seen significant advancements due to the integration of novel technologies and the reduction in economic costs. This paper reviews the work in the domain of wind power estimation, emphasizing the innovative approaches leveraging satellite data and artificial intelligence (AI) methodologies. A notable method integrates Sentinel satellite imagery analysis in a two-phased approach, combined with machine learning techniques, to forecast wind speed. This method utilizes sentinel-1 and sentinel-2 satellite images for wind speed and bathymetry analysis, respectively. Furthermore, a hybrid forecasting model, comprising the generalized regression neural network (GRNN) and the whale optimization algorithm (WOA), has been introduced. Another pivotal advancement comes from the National Center for Atmospheric Research (NCAR), which has revamped its wind power forecasting system. This enhancement focuses on short-term forecasting, uncertainty quantification in wind speed prediction, and the prediction of extreme events like icing. The integration of numerical weather prediction with machine-learning methods, such as the fuzzy logic artificial intelligence system, has further elevated the accuracy and efficiency of these forecasting models. Collectively, these advancements offer a comprehensive perspective on the future of shortrange wind power estimation.

Electric vehicles (EVs) are gaining traction globally due to their energy efficiency and eco-friendliness compared to traditional internal combustion engine vehicles. However, the limited availability of charging infrastructure impedes their widespread adoption. As EV usage grows, public spaces are installing EV charging stations, but charging via fossil fuel-powered grids harms the environment. Utilizing solar power through photovoltaic (PV) panels offers a sustainable solution. This review examines recent developments in solar PV-EV charging systems worldwide, covering EV charging behaviour, station operations, and user geography. The proposed analytical methods are efficient and beneficial for researchers and students in the field. The article also explores innovations in wireless power transfer (WPT) systems for charging EV batteries using solar panels. Various solar-powered EV charging station types and WPT components, such as compensators and coil structures, are analysed. Additionally, the integration of artificial intelligence (AI) within WPT systems is discussed, emphasizing its role in enhancing efficiency. This review consolidates the evolving landscape of solar-driven wireless charging systems, advancing our understanding of sustainable transportation.

The development of products in a variety of industries is now being increasingly influenced by material advancements. Many experts are looking for basic materials that are strong, light, and inexpensive. Solids are often rather thick, whereas light materials are weaker. To attain significant strength while lowering weight, we use composite materials. This work deals with the mixed effects of composites made by hand using an epoxy tar and a hardener along with different fiberes of chopped mate (KC), Kenaf (KA), and Kevlar (KB). Mechanical studies such as tensile (UTS), flexural (FL), impact (IM), and hardness (BHN) were conducted after creating specimens according to standard measurements.