Enhancing Grid Operation with Electric Vehicle Integration in Automatic Generation Control

Wind energy has been recognized as a clean energy source with significant potential for reducing carbon emissions. However, its inherent variability poses substantial challenges for power system operators due to its unpredictable nature. As a result, there is an increased dependence on conventional generation sources to uphold the power system balance, resulting in elevated operational costs and an upsurge in carbon emissions. Hence, an urgent need exists for alternative solutions that can reduce the burden on traditional generating units and optimize the utilization of reserves from non-fossil fuel technologies. Meanwhile, vehicle-to-grid (V2G) technology integration has emerged as a remedial approach to rectify power capacity shortages during grid operations, enhancing stability and reliability. This research focuses on harnessing electric vehicle (EV) storage capacity to compensate for power deficiencies caused by forecasting errors in large-scale wind energy-based power systems. A real-time dynamic power dispatch strategy is developed for the automatic generation control (AGC) system to integrate EVs and utilize their reserves optimally to reduce reliance on conventional power plants and increase system security. The results obtained from this study emphasize the significant prospects associated with the fusion of EVs and traditional power plants, offering a highly effective solution for mitigating real-time power imbalances in large-scale wind energy-based power systems

Hydraulic simulations to evaluate and predict design and operation of the Chashma Right Bank Canal

Irrigation systems / Irrigation canals / Flow control / Velocity / Canal regulation techniques / Hydraulics / Simulation models / Design / Operations / Crop-based irrigation / Distributary canals / Water delivery / Policy / Protective irrigation / Water allocation / Water requirements / Sedimentation / Water distribution / Equity / Water conveyance / Pakistan / Chashma Right Bank Canal

Doppler sonographic evaluation of intrauterine growth restriction of fetus and its correlation with perinatal outcomes among the population of riverine (char) areas of Barpeta Assam

Background: Intrauterine growth restriction (IUGR) also known as fetal growth restriction (FGR), has been associated with a variety of detrimental perinatal outcomes. FGR is defined as estimated fetal weights (EFW) or abdominal circumference (AC) that fall within the third, or tenth percentiles with abnormal doppler parameters. FGR affects 10-15% of all pregnancies around the world. Methods: Prospective observational study of singleton pregnant women complicated by FGR were enrolled during the study period from September 2021 to August 2022. 100 patients were included in the study. Results: Abnormal umbilical artery flow was seen in 30% of cases, out of which 83% (25) had abnormal perinatal outcome. Out of 100 cases, live births were reported in 94%, stillbirths in 4%, and IUDs in 2%. There were 16 neonatal deaths and 15 neonatal complications among the adverse perinatal outcomes. Intraventricular hemorrhage and neonatal sepsis were the two leading causes of death. Neonatal sepsis, necrotizing enterocolitis and hypoxic ischemic injury was the leading cause of morbidity. Reverse end diastolic umbilical artery Doppler and bilateral uterine artery notch had 100% mortality. The sensitivity, specificity, positive predictive value, negative predictive value and accuracy of umbilical artery in predicting perinatal outcome in IUGR were 80.65%, 92.75%, 83.33% 91.43% and 89.47% respectively. Conclusions: Umbilical artery PI is the most sensitive parameter and had highest positive and negative predictive value and Accuracy in relation to adverse perinatal outcomes