http://localhost:8080/xmlui/handle/123456789/41 Wed, 28 Jan 2026 11:21:23 GMT 2026-01-28T11:21:23Z http://localhost:8080/xmlui/handle/123456789/1843 Title: Effect of Void in Epoxy Resin for Measurement of Partial Discharge Authors: Dr. V. Joshi Manohar Abstract: Dry type power and distribution transformers various sorts of protections are utilizing to create the long existence of the transformers. Heavy load on transformers constantly debilitates the protection of insulation in turns and creating tracking called partial discharge (PD). PD genuinely influences the dependability of intensity transformers and cause decimate transformer. Protecting materials plays a significant job in life span of transformer. In this paper to differentiate the diverse partial discharge esteems discovery for the distinctive epoxy resin proportions. Limitation Partial discharge value at, the underlying stage in transformer twisting and to explore which are the best proportion protecting materials (epoxy resin) to be utilized to delay the force transformers future. Restriction of PD is important to suggest restorative activities. The PD measurement done by different procedures like acoustic strategy, UHF recognition technique, electrical technique and optical strategies are used. This paper also introduce capacitive location strategy is used to get the different incomplete release esteems in epoxy resin of various thickness and proportions to identify PD. Other Partial Discharge recognition strategies used to identify against foundation commotion and other undesirable signals that can influence the estimation esteems, the gadgets utilizing now will decrease the structure multifaceted nature and lessen the plan cost and gives the exact area of PD source. It is observed that the epoxy resin of class F 1:1:2.2, 1:1:3and H class 1:0:3.5 best in this proportion for Dry transformers. Wed, 01 Jan 2020 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/1843 2020-01-01T00:00:00Z http://localhost:8080/xmlui/handle/123456789/1845 Title: Highly Efficient Hybrid multi Axis Sun Tracking System for PV Power Stations Authors: Syed Danish Pasha; Joshi Manohar V Abstract: The light, which is an inexhaustible source of solar energy, radiates solar energy, which is also considered green energy. The efficient collection of renewable energy from the photovoltaic solar cells (PV cells). In real-time, the location of the sun in the sky is constantly varying from time to time. The production of PV cells is strongly dependent on the light intensity of the sun, a basic reason for a typical PV cell to become low. Various control processes such as static solar trackers, single-axis solar trackers and dual axis solar trackers are present in the literature. This paper presents the design and construction of a cost-effective active dual-axis solar tracking system for tracking the movement of the sun to get maximum power from the solar panels as they follow the sun. The code has been developed using C++ programming language and targeted to Arduino UNO microcontroller. The performance of the Single-axis tracker was analysed and compared with the Dual-axis tracker and the proposed method is validated with the experimental approach and better results were obtained in dual-axis solar tracking with 14% more power gain compared to single-axis solar tracking Fri, 01 Jan 2021 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/1845 2021-01-01T00:00:00Z http://localhost:8080/xmlui/handle/123456789/1844 Title: Severity Prediction of Single Transmission Line Outage using Big Data and Machine Learning Technique Authors: Ravi V Angadi; P. S Venkataramu Abstract: This article introduces the application of big data techniques to predict the severity condition of the system under Single Transmission Line Outage (STLO). The severity of the line is computed by using Line Voltage Stability Index (LVSI) under different load condition for ranking purpose. As a consequence, vast quantity of data is generated. The data obtained from the simulations for various scenarios is processed and applied to machine learning to predict severity condition of the line. The sever ity is predicted for various test systems to ascertain the suitability of the technique applied. The results of the study carried out on IEEE 30 Bus and UPSEB 75 Bus Indian System is presented with the necessary analysis. The MATLAB and the WEKA software are used for simulation purpose. Wed, 01 Jan 2020 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/1844 2020-01-01T00:00:00Z http://localhost:8080/xmlui/handle/123456789/1839 Title: Research on Single-Phase Grid Connected PV Systems Authors: Joshi Manohar V Abstract: The demand for renewable vitality based power production has been increased because of many reasons such as to reduce the level of carbon emission, to minimize the consumption of non-renewable energy source and to maintain the environment pollution free. Among the available renewable resources such as hydroelectric, wind, solar, biomass and ocean, solar energy has gained much attention by researchers in the recent decades all over the world. The abundant availability and increasing global warming threat urge the researchers to develop an efficient solar energy conversion system. This survey purposefully intended to elaborate the significance of solar power system. This system consists of set of a PV array to transform sunlight into electrical power (dc). Then the converter and inverter circuits are utilized to produce stable ac power. To overcome the challenges like non-uniform insolation, temperature and partial shading effects, various artificial intelligence and optimization techniques have evolved to maximize the power output from the panel. Even with recent technological breakthrough the efficiency is still less than 20%. This survey presents the several existing solar energy conversion systems with its challenges and mitigation methods under different environmental conditions for improving the power output. Tue, 01 Jan 2019 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/1839 2019-01-01T00:00:00Z