Performance of Grid Connected Hybrid System with Maximum Power Optimization Algorithms

V. Rana, Y. Chauhan, M. A. Ansari
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Abstract

: Energy is an essential part of our lives and is used in various fields such as agricultural land, transportation, domestic and industrial applications. Further, the renewable energy (RE) sources are becoming more popular now a days due to limited fossil fuel and more eco-friendly. Two RE sources i.e. Solar PV and Wind energy conversion system are considered in this paper to fulfill the energy demand. The conversion efficiency of PV and wind power systems is very low due to different weather conditions. Therefore, maximum power extraction schemes are implemented to extract maximum power during different weather conditions. Two different maximum power schemes i.e. P&O for solar PV system and ANN for Wind energy have been accomplished to find maximum power from these resources. Each component of system is modeled in MTLAB/Simulink and hybrid system is developed by integrating individual model. A 15 kW PV and 15 kW WECS is designed for grid integration. Extensive results are taken and different operating conditions, which validate the developed hybrid model.
基于最大功率优化算法的并网混合系统性能研究
当前位置能源是我们生活中必不可少的一部分,被用于农业用地、交通、家庭和工业应用等各个领域。此外,由于化石燃料的有限性和环保性,可再生能源(RE)越来越受欢迎。本文考虑了太阳能光伏和风能转换系统两种资源来满足能源需求。由于天气条件的不同,光伏和风力发电系统的转换效率很低。因此,在不同的天气条件下,采用最大功率提取方案提取最大功率。两种不同的最大功率方案,即太阳能光伏系统的P&O和风能的ANN,已经完成了从这些资源中寻找最大功率。在MTLAB/Simulink中对系统的各个组成部分进行建模,通过对单个模型的集成开发出混合系统。15千瓦的光伏和15千瓦的WECS是为电网整合而设计的。在不同工况下进行了广泛的实验,验证了所建立的混合模型的正确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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