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Fault localization is a critical challenge in the operation and maintenance of distributed generation (DG)- integrated radial distribution networks. This paper proposes a fault localization approach that combines Artificial Neural Networks (ANN) with two-ended impedance-based method to enhance precision and reliability. The ANN is used for estimating during-fault load currents at unmonitored buses, which are essential inputs for impedance-based method. The ANN model is trained using dataset g...
Efficient fault location in electric power systems is necessary for ensuring grid reliability, minimizing downtime, and facilitating timely restoration efforts. This paper presents a novel fault localization methodology tailored for multi-terminal distribution systems, a critical domain in power system analysis. Leveraging synchronized data from Phasor Measurement Units, the proposed approach integrates two-ended impedance based technique with Kirchhoff’s Voltage Law (KVL) principle to accura...
This study centers on designing a 5 kW wind energy transformation system integrated with a battery and a bidirectional converter, focusing on efficiently channeling power to the grid and local loads. Maximizing power output while keeping the DC connection voltage constant in the face of wind variations is the most common issue with wind turbine systems. To ensure a stable DC link voltage during standalone operation, this study proposes using a battery as an energy storage, managed by a bidire...
This paper compares seven different control methods on DC-DC Bidirectional Buck-Boost Converter (BDC). Several control methods, like PID, 1-DOF PID, 2-DOF PID, 3-DOF PID, Lag-lead, Lead-lead, and Lead-lag, are used to control the BDC. The results show the capability of control methods to improve the functioning of the converters mentioned above. The converter's performance is achieved using various control strategies applied to fluctuations in supply voltage and varying load conditions. Lead-...
The integration of photovoltaic (PV) and battery energy storage systems in DC microgrids is the challenge of having a stable DC-link voltage based on power generation variability and dynamic load changes. Mitigating that, this paper presents a Model Predictive Control (MPC) technique to stabilize the DC-link voltage via a Dual Active Bridge (DAB) converter. In addition, a Single-Ended Primary Inductor Converter (SEPIC) is utilized for maximum power point tracking (MPPT) of the solar PV system...
The innovative integration of pico hydro power systems with photovoltaic (PV)-based DC microgrids offers an efficient and sustainable solution for decentralized energy generation, particularly in remote and off-grid areas. This paper delves into the unique architecture, control strategies, and operational benefits of this integration. The study emphasizes the importance of maximum power point tracking (MPPT) through SEPIC converter for PV, the integration of pico hydro generator through diode...
As modern power systems evolve with the growing penetration of renewable energy and dynamic grid operations, ensuring stability, resilience, and sustainability has become a critical challenge. Phasor Measurement Unit (PMU) drivenWide- Area Measurement Systems (WAMS) supplies real-time information which is essential to strengthen grid stability. However, PMU measured data is often corrupted due to loss of communications, malfunction of hardware, and cyber threats, leading to missing values, ou...
This work focuses on the cost of energy (CoE) sensitivity analysis of PV and fuel cell based microgrid with battery energy storage system (BESS) to power a small residential apartment with average load demand of 15 kWh/day. Cost data for multiple microgrid components are incorporated into the simulation model enabling thorough evaluation of different system configurations. Various technical and economic parameters, such as fuel price fluctuations, PV and fuel cell efficiencies, and battery au...
Future research and development challenges of modern world need efficient and reliable characterisation techniques to facilitate investigation of scientists and technologists. Emerging applications in energy storage and conversion technologies such as fuel cells, nextgeneration batteries, and nano-generators, and in sensors including wearable human motion sensors have driven the carbon nanotube (CNT) research in rapid fashion. Particularly in electrochemical energy storage, CNTs are extensive...
Nowadays in the worldwide cancer is one of the leading causes of mortality and chemotherapy has been shown to be the most successful approach for treating cancer.1 Till now platinum-based drugs are mostly used for the treatment of cancer.2 However, these drugs have some side effects, like nephrotoxicity, neurotoxicity, and very poor selectivity towards tumour cells. In this regard, the vanadium complexes has drawn paramount interest for their biochemical, and pharmacological applications.3 He...
The evaluation of sustainable banking practices (SBP) on sustainability performance (SP) of banks receives limited empirical research scrutiny, especially for developing economic sectors like India. The study fills this research gap by examining the serial mediation effect of green finance (GF) and financial innovation (FI) in the relationship between SPs and banks' sustainability performance.
The research examines the impact of fluctuations in oil prices on the performance of renewable energy stocks in India through panel quantile regression analysis. The findings indicate a consistently adverse influence on oil price returns, challenging the conventional notion of the substitution effect. The results underscore dynamic investor sentiments, highlighting the need for adaptive investment strategies. This study enhances the discussion on climate risk and equity pricing in sustainable...
Falls, particularly among older adults and individuals with mobility impairments, are a significant cause of injury and disability. This study explores the potential of smart socks equipped with mems-based inertial sensors for continuous monitoring of knee and ankle movement patterns to assess fall risk in real time. One of the initial studies were performed on 25 healthy adult volunteers (curating base data), free from cardiovascular diseases, arthritis, or physical disabilities, for three d...
Estrangement and nostalgia, having interrelated and paradoxical connections, are intrinsic indicators of an individual’s experience of place, especially when memory acts as a catalyst. The multi-dimensional quality of place attachment is analysed in this paper through a close reading of the Pakistani-American author Sadia Shepard’s The Girl from Foreign(2008), a memoir exploring identity, heritage, and transnational migration through the matrilineal memories of her family. Her journey to Indi...
Impaired motility has been indicated in the causation of the reflux such as duodenogastric reflux (DGR), where bile from the duodenum refluxes into the stomach, leading to gastric mucosal injury, inflammation, and dysregulation of normal gastric-duodenal function. This phenomenon is often seen to be normal in subject, where the reflux occurrence is normal and does not lead to any pathological symptoms, however, in conditions where the reflux volumes are increased owing to unknown reasons; the...
This study explores the application of advanced time series models, including IBM TinyTimeMixers (TTMs), Time Series Transformer (TST), and ARIMA, for anomaly detection and forecasting in financial data analysis of the Nifty 50 index. Utilizing a comprehensive dataset spanning November 9, 2015, to July 12, 2024, with daily market variables such as Open, Close, High, Low, Shares Traded, and Turnover (RS crores), we evaluate the efficacy of these models in identifying market anomalies and predi...
High-power boost converters have become an important part of Electric vehicles (EV), solar power applications, and microgrids. The Interleaved Boost Converter (IBC) has an important advantage over conventional boost converters, such as input current ripple cancelation, enhanced efficiency, and high reliability. Detailed analysis and design are essential to reduce the size of N-phase IBC. Analyzing the inductor ripple current is crucial in selecting inductors and capacitors to reduce the size ...
Electric vehicles (EV) have a huge positive environmental impact, such as reducing carbon emissions, the greenhouse effect, and air pollution. The EV chargers available in the market are mostly two-stage chargers where the first stage is the PFC rectifier stage used for regulating the DCLink voltage, and the second stage may be a non-isolated or an isolated DC/DC converter for charging the EV battery. This paper concentrates only on the first stage, i.e the PFC rectifier. Here, a detailed ana...
Looking at the advantages of future growth of electric vehicles (EV) much research is underway on EV chargers. In the literature, many studies are being conducted on charging infrastructure, converter topologies, control, and charging schemes. In this article, a two-stage grid integrated EV charger is designed to fix the DC link voltage and to have efficient charging through a Totem pole PFC rectifier and a nonisolated bidirectional DC/DC charger, respectively. Here, a model of the charging s...
Let G be a finite group. The power graph of G, denoted by P(G), is a graph whose vertex set is G, and two vertices in P(G) are connected by an edge if and only if one of them is a power of another. We start by going over some properties of power graphs. Then we characterize finite groups with no induced subgraphs isomorphic to a path on four vertices.
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