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Authors:Yenni Ramu, Devendra Potnuru, Kishore Babu Y. S. Pages: 1 - 8 Abstract: This paper offers a thorough investigation of non-isolated high gain DC-DC converters, specifically designed for their applicability in renewable power systems. These converters demonstrate versatility and efficacy in various domains, including renewable energy applications, DC microgrids, and electric vehicle power management. This study explores their characteristics and advantages in depth, shedding light on their potential for addressing the evolving demands of modern energy systems. Renewable energy systems, such as solar photovoltaic (PV) systems, often produce low-magnitude DC voltage outputs. Consequently, the design and exploration of various high-gain DC-DC converter topologies have become a significant focus in contemporary research. This paper is dedicated to a comprehensive study and review of these converters, with the goal of identifying and selecting an optimal converter for diverse practical applications. PubDate: 2024-01-30 Issue No:Vol. 13, No. 3 (2024)
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Authors:Arathi P. B., Nandini S. Patil, Sujatha D. Pages: 9 - 16 Abstract: This comprehensive paper presents a broad-ranging exploration of the multifaceted challenges inherent in coordinating over-current relays within distributed generation (DG) systems in the context of power grids. Within these systems, the pivotal roles of both protective devices and the overarching protection system are highlighted, emphasizing their joint responsibility in detecting short-circuit currents and swiftly isolating faulty components. The primary objective of this protection coordination is to ensure the meticulous selection and application of devices to contain and effectively resolve any potential faults that may arise. In the contemporary landscape of highly interconnected electricity systems, encountering abnormal operating conditions is a common occurrence. This reality has led to the development of a myriad of protection techniques meticulously designed to address the diverse and constantly evolving challenges faced in safeguarding these intricate systems. The research in question presents an in-depth examination of a wide spectrum of protection plans and coordination strategies. These strategies likely encompass a diverse array of methodologies, including fault location techniques, adaptive relaying schemes, communication-based protections, and potentially innovative approaches integrating artificial intelligence. The exhaustive analysis undertaken in this research serves to illuminate the intricate complexities involved in protecting distributed generation systems embedded within larger power networks. By critically reviewing and evaluating numerous protections plans and coordination strategies, this paper aims to significantly contribute to advancing our understanding of effectively managing and securing these intricate systems. PubDate: 2024-01-29 Issue No:Vol. 13, No. 3 (2024)
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Authors:G. Jayalaxmi, R. V. S. L. Kumari Pages: 17 - 29 Abstract: This article implements a best non-isolated DC-DC Converter for solar photovoltaic system-driven DC MicroGrid applications through high voltage gain methodology. At first, a hybrid boosting converter with bipolar voltage multiplier method is proposed and studied for photovoltaic-based DC MicroGrids. But the cost and functionality of this converter are a big problem. To eradicate these problems with a proposed modified SEPIC converter and this converter is studied for producing high voltage gain. Formerly performance of hybrid boosting converter and modified SEPIC converter are simulated in PSIM software. As a final point, the simulation results are compared and verified that the modified SEPIC converter suits best for solar photovoltaic system-based DC Microgrids to provide essential power levels to the residential electrical loads. PubDate: 2024-01-30 DOI: 10.37591/.v13i3.7601 Issue No:Vol. 13, No. 3 (2024)
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Authors:Neha Khurana, Ankush ., Gopal Krishan, Mansi Hooda Pages: 30 - 38 Abstract: The primary aim of load forecasting is to know the change in power demand with the variable factors on a short-term, medium-term, and long-term basis and to evolve our power system network according to the changing variables. It ensures correct values to the operations, stability, demand management, scheduling generating capacity, efficiency, reliability, accuracy, economy, controlling, scheduling, security analysis, environmental sustainability, etc. Various forecasting techniques are there which are making it more accurate with the advancing knowledge. This work develops a combination of medium- and long-term models for a 33KV feeder that supplies a university distribution zone and the factors affecting the medium-term load forecasting. This research paper brings the forecasting techniques and the factors that impact power consumption and their significance in medium-term load forecasting. PubDate: 2024-03-14 DOI: 10.37591/.v13i3.7621 Issue No:Vol. 13, No. 3 (2024)
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Authors:Sanjeev Kumar Kushawaha, Kalpana Meena Pages: 39 - 47 Abstract: In this paper, based on a low-cost, small-scale application, presents a Maximum Power Point Tracking (MPPT) controller for wind generation systems (WGS). The Hill Climb Search approach served as the foundation for the development of the MPPT algorithm. To account for the inertia of wind turbines, an enhanced hill-climb searching approach has been created as a fundamental component of the max-power extraction algorithm. Under varying wind conditions, the generator can monitor the wind turbine system's ideal operating points with the help of the suggested control algorithm. Over time, the tracking process becomes more rapid. MATLAB/SIMULINK was used to assess this proposed algorithm's efficacy. The wind speed affects how much power a wind energy system can produce. Maintaining thewind turbines maximum power production under all wind speed circumstances is a difficult challenge because of its nonlinear feature. PubDate: 2024-03-14 DOI: 10.37591/.v13i3.7721 Issue No:Vol. 13, No. 3 (2024)
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Authors:Devendra Kumar Verma, Varun Kumar, Y. K. Chauhan Pages: 53 - 61 Abstract: Over the last ten years, there has been an increasing demand for the electrical power supply. The installation of power generators (PGs) is expensive and time-consuming. Solar power plants are therefore thought to be a practical substitute for supplying the present demand for electricity. The primary challenges with solar plants, however, are output power balancing and critical maintenance. A proper technique is needed to lessen output power balance and maintenance issues in solar facilities. For hybrid photovoltaic (PV) and wind energy systems (WES), this research suggests a novel single maximum power point tracking (MPPT) technique to track maximum power. An artificial neural network (ANN) serves as the foundation for the recommended MPPT method. A source inverter and a separate converter are used to link the hybrid PV and WES systems to the grid. PubDate: 2024-01-16 DOI: 10.37591/.v13i2.7586 Issue No:Vol. 13, No. 2 (2024)
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