Conference Papers
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Item Associative study of Absorbing Aerosol Index (AAI) and precipitation in India during monsoon season (2005 to 2014)(SPIE spie@spie.org, 2016) Dubey, S.; Mehta, M.; Singh, A.Based on their interaction with solar radiations, aerosols may be categorized as absorbing or scattering in nature. The absorbing aerosols are coarser and influence precipitation mainly due to microphysical effect (participating in the formation of Cloud Condensation Nuclei) and radiative forcing (by absorbing electromagnetic radiations). The prominent absorbing aerosols found in India are Black Carbon, soil dust, sand and mineral dust. Their size, distribution, and characteristics vary spatially and temporally. This paper aims at showing the spatio-temporal variation of Absorbing Aerosol Index (AAI) and precipitation over the four most polluted zones of Indian sub-continent (Indo-Gangetic plains 1, Indo-Gangetic plains 2, Central and Southern India) for monsoon season (June, July, August, September) during the last decade (2005 to 2014). Zonal averages AAI have been found to be exhibiting an increasing trend, hence region-wise correlations have been computed between AAI and precipitation during monsoon. Daily Absorption Aerosol Index (AAI) obtained from Aura OMI Aerosol Global Gridded Data Product-OMAEROe (V003) and monthly precipitation from TRMM 3B42-V7 gridded data have been used. © 2016 SPIE.Item Correlation of wind speed and wind turbine reliability in system adequacy assessment(Institute of Electrical and Electronics Engineers Inc., 2018) Nguyen, N.; Almasabi, S.; Mitra, J.; Shenoy, B.B.This paper proposes a new method to evaluate the reliability of a power system in the presence of wind generation, considering the negative correlation of wind turbine reliability and wind speed. Although wind power integration supports the power system by increasing generation, its intermittent nature is a matter of concern. As the integration of wind power systems steadily increases, the reliability of such integrated systems needs re-evaluation. Besides the relationship between wind speed and wind power output, the relationship between wind speed and wind turbine failure rate also has an impact on reliability of a wind farm and needs to be given due consideration. The method proposed in this paper to evaluate system reliability is implemented using the sequential Monte Carlo simulation. The implementation is tested on the IEEE RTS-79 system with relevant modifications. The effectiveness of the proposed method is proved by comparing system reliability indexes with and without considering the impacts of correlation between wind turbine reliability and wind speed. © 2018 IEEE.Item Application of Proper Orthogonal Decomposition in Concrete Performance Appraisal(Springer Science and Business Media Deutschland GmbH, 2021) Manoj, A.; Babu Narayan, K.S.B.Mould ability of concrete has made it the most versatile and popular material of construction. Workability, strength and durability of concrete are very important characteristics that depend on a large number of variables like cement and aggregate type, mix proportioning, method of mixing, conveying, placing and curing and environmental conditions of exposure like temperature, humidity, wind velocity and insolation. The degrees to which workability, strength and durability characteristics vary, and also interplay and conflicts make decision on consideration of independent variables that influence concrete performance, make the job of analysts very complex. Proper Orthogonal Decomposition (POD) is a tool that has great usage potential in reorganizing and rationalizing vast data to understand dependence, interdependence and independence of variables that affect the concrete characteristics. This paper presents the utility of Proper Orthogonal Decomposition in concrete performance appraisal. © 2021, Springer Nature Singapore Pte Ltd.Item Probabilistic Load Flow Considering Load and Wind Power Uncertainties using Modified Point Estimation Method(Institute of Electrical and Electronics Engineers Inc., 2022) Singh, V.; Moger, T.; Jena, D.Nowadays, renewable energy sources (REs) are increasingly integrated into electrical power networks. Among many REs, wind energy has emerged as a prominent source of electricity. However, rising wind power penetration has increased the system's net generation variability. Consequently, the ability to monitor and simulate the behavior of wind power generation (WPG) in detail is critical. Furthermore, the wind speed or wind power output of different wind farms can be highly interdependent and may not follow Normal distribution. This study proposes a probabilistic load flow (PLF) technique for modeling normally distributed loads and non-normally distributed WPG based on the modified point estimation method (PEM). This modification allows modeling dependent input random variables as a function of many independent ones using the Nataf transformation. By utilizing the findings of the Monte-Carlo method as a reference, the usefulness of the suggested technique is tested by conducting case studies on a 24-bus equivalent system of the Indian Southern region power grid. Simulation results indicate that the modified PEM can easily handle the correlation and have high processing efficiency. © 2022 IEEE.Item Modified Cumulant based Probabilistic Load Flow Considering Correlation between Loads and Wind Power Generations(Institute of Electrical and Electronics Engineers Inc., 2022) Singh, V.; Moger, T.; Jena, D.With the growing use of wind sources, power system analysis should consider the variation of wind power and the correlation among wind farms. In this paper, the Cumulant method (CM) for performing probabilistic load flow (PLF) analysis is modified to account for the correlation between random input variables. Considering the dependence between loads and wind power generations (WPGs), the modified CM models the dependent variables as a function of many independent ones using the Nataf transformation. The effectiveness of the suggested method is verified by performing case studies on a 24-bus equivalent system of the Indian southern region power grid. Furthermore, relative error values in reference with the Monte-Carlo simulation (MCS) method are analyzed. © 2022 IEEE.