风能综合自动化系统的开发

Q4 Engineering
Kuanysh Mussilimov, A. Ibraev, W. Wójcik
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引用次数: 0

摘要

风能与太阳能和水力发电是三大主要可再生能源之一,在世界范围内广泛用于发电。作为一种能源资源,风能分布广泛,可以为世界上大部分地区提供电力,但它既间歇性又不可预测,因此很难单独依靠风能。然而,当与其他类型的生产或与储能结合使用时,风能可以为全球能源平衡做出宝贵的贡献。在过去的几十年里,风力发电在许多国家作为一个独立的能源部门出现,并成功地与传统能源竞争。作为配电网和输电网的一部分,风力发电厂受到了人们的关注。在这方面,一项紧迫的科技任务是有效利用风势,不仅要改善小涡的气动特性,而且要提高小涡的整体生产力。本文介绍了风力涡轮机的类型,在可能的应用中,非常有前途的是风力涡轮机Bolotov (WRTB),它的技术特点超过了传统的螺旋桨和其他使用风能生产电能的装置。通过改进各种自动控制方法,提高各运行模式WT的(WEUF -风能利用系数)是有意义的,建议对此问题进行研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DEVELOPMENT OF WIND ENERGY COMPLEX AUTOMATION SYSTEM
Wind power is one of the three main renewable energy sources, along with solar and hydropower, which are widely used to produce electricity worldwide. As an energy resource, wind is widespread and can provide electricity to much of the world, but it is both intermittent and unpredictable, making it difficult to rely on wind power alone. However, when used in combination with other types of production or in combination with energy storage, wind can make a valuable contribution to the global energy balance. Over the past few decades, wind power has emerged in a number of countries as a separate energy sector that has successfully competed with conventional energy. Attention is paid to wind power plants (WT) as part of distribution and transmission networks. In this regard, an urgent scientific and technical task is the efficient use of wind potential, which is not only to improve aerodynamic characteristics WT, but also to increase productivity WT as a whole. This article presents the type of wind turbines, among the possible applications and very promising is the wind turbine Bolotov (WRTB), which by its technical characteristics surpasses the traditional propeller and other installations using wind energy in the production of electrical energy. The increase (WEUF - wind energy utilization factor) in all modes of operation WT by improving various methods of automatic control is relevant, and the proposed work is devoted to this issue.
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来源期刊
CiteScore
0.90
自引率
0.00%
发文量
40
审稿时长
10 weeks
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