基于太阳风的混合能源系统:建模与仿真

Anuradha, Akhilendra Yadav, S. Sinha
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引用次数: 3

摘要

本文利用MATLAB软件对太阳能、风能等非常规混合能源系统进行了研究。由于注意到资源的最佳利用,与它们单独的发电方式相比,效率得到了提高。它还提高了可靠性,减少了对单一来源的依赖。由于太阳照射和季节性天气条件的变化,太阳能电池阵列的输出是可变的。为了使光伏阵列在最大功率下工作,在DC/DC转换器中加入了最大功率点跟踪技术。这种混合太阳能-风能发电系统既适合商业应用,也适合住宅应用。在印度,大部分偏远和丘陵地区仍然没有接入电网,导致电力短缺。由于经济限制和恶劣的地形,电网连接在这些地区是不可能的。对这些地方来说,可再生能源工厂是有益的。近年来,可再生能源系统越来越重要,因为它们利用了当地可获得的资源。并且可以被认为是能源生产的正确解决方案。因为这些系统很少被使用,它们的实现在分析和建模方面需要额外的注意。本研究关注的是太阳能与风能模型的理论研究,这可以进一步用于研究混合系统的响应,最重要的是,软件模拟设置。本研究提出了太阳能、风能和混合动力发电厂的模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Solar-Wind Based Hybrid Energy System: Modeling and Simulation
In this article, a non-conventional hybrid energy system including solar, and wind is studied using MATLAB software. As optimum resource usage is noticed, efficiency is improved as compared to their separate way of generating. It also improves reliability and decreases reliance on a single source. Due to variations in sun irradiation and seasonal weather conditions, the output of solar arrays is variable. To enable PV arrays to function at maximum power, maximum power point tracking technique is incorporated in the DC/DC converter. This hybrid solar-wind power generation system is appropriate for both commercial as well as residential applications. In India, the majority of distant and hilly areas are still not connected to the grid, resulting in electricity shortages. Grid connection is not possible in these locations due to economic constraints and tough terrain. For such places, renewable energy plants are beneficial. Renewable energy systems have increasingly become important in recent years, as they make use of locally accessible resources. and can be considered as the right solution to energy production. Because these systems are rarely used, their implementation necessitates extra care in terms of analysis and modelling. This research is concerned with the theoretical study of solar with wind energy source models, which can be further used for investigation of the responses of hybrid systems and, most importantly, software simulation settings. Modeling of solar, wind, and hybrid power plants is presented in this study.
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