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RISS 인기검색어
- 검색키워드
- 저자 : Bhuvanesh A. (검색결과 3 건)
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Rajasekaran S.,Suresh S.,Karthikeyan K.,Bhuvanesh A. 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.4
In this paper, a DC–DC boost converter is favored at the front ends of the usual power electronic converters for electric car rapid charging purposes utilizing Solar Photovoltaic System, which is included by a full-bridge converter with discontinuous switching designs. The influence of circuitry parasite adds substantially towards power dissipation and lowers efficiency. An effort is made on the overall system by incorporating the A-Source Boost Converter with the Phase Shifted Full Bridge Converters that improve performance with high conversion efficiency and minimize the impacts of network parasitic. The entire structure would be electronically managed, using efficient MPPT, including boosting techniques for solar conversions and zero voltage switching on the full-bridge conversion via comprehensive protective measures. The system’s thermal design must be complete to ensure efficient power density. For optimal efficiency, the voltage stability transition is increased from Solar photovoltaic voltage of 25–75 VDC to start charging a rechargeable battery of 48 V with standard system parameters of (200–250) W is focused with an operating frequency of 15 kHz at the boosting stage but also 120 kHz at the full-bridge phase and is simulated using the MATLAB framework. The improved Incremental Conductance MPPT approach improves the system’s photovoltaic performance. The 100 W experimental design is produced its technical performance in comparison and examined to demonstrate the technical significance of the suggested converter.
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A Multi-objective Optimum Distributed Generation Placement Using Firefly Algorithm
Anbuchandran S.,Rengaraj R.,Bhuvanesh A.,Karuppasamypandiyan M. 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.2
Nowadays, the power systems face several environmental and economic challenges and Distributed Generations (DGs) will be an eff ectual solution for them. The integration of DGs may result in power system volatility and losses. The optimal allocation of DGs will resolve the aforesaid issues. This study aims to implement multi-objective fi refl y algorithm for siting and sizing of DGs by optimizing six dissimilar objective functions such as minimization of power losses, improvement of voltage profi le, enhancement of Voltage Stability Index, reduction of pollutant emission and elimination of average voltage Total Harmonic Distortion. Besides, fuzzy decision-making methodology has been deployed to choose one of the Paretooptimal solutions as the Best Compromise Solution. The studies have been conducted on standard IEEE 33-bus system and a practical 62 bus Indian Utility System namely Tamil Nadu Generation and Distribution Corporation Limited as a realworld distribution network. The outcomes of the proposed work have been compared with related past studies and prominent improvement has been experienced
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Amosedinakaran S.,Mala K.,Bhuvanesh A.,Kannan S.,Karuppasamy Pandiyan M. 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.6
A power system planning must involve the Electricity demand forecasting (EDF) and Generation expansion planning (GEP) for better operation. The optimal plan should consider both qualitative and quantitative factors such as error, cost and reliability of the power system. In this study, EDF and GEP problem have been solved till the year 2030 for Tamil Nadu, an Indian state. The formulation of EDF problem has been modeled based on the input variables such as population, Gross State domestic product (GSDP) and per capita income, and has been solved using Genetic algorithm (GA), Artifi cial immune system (AIS) and Diff erential evolution (DE). While analyzing the results of EDF problem, DE provides optimal result with Minimum mean absolute percentage error (MAPE). Continually, short term (6-year) and long term (12-year) GEP problem have been solved using DE by considering minimization of cost and environmental eff ects as the main objectives. To achieve these objectives, Renewable Energy Sources (RES) have been integrated in diff erent penetration levels such as 0–10%, 10–20%, 20–30%, 30–40%, and 40–50% on GEP problem and its impacts have been investigated. The results of DE have been validated with Dynamic Programing (DP). The outcomes of the study have assisted the power system planners while decision making in introducing Renewable Energy Sources (RES) on a real-world power system.
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