Optimization planning of new rural multi-energy distribution network based on fuzzy algorithm

Q2 Energy
Huanhuan Ye, Qing Wang, Yongsheng Xian, Bo Wen, Yuange Li, Siwei Hou
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引用次数: 0

Abstract

With the increasing demand for renewable energy in new rural areas, the integration and optimization of multi-energy systems such as wind and photovoltaic have become a key issue in distribution network planning. Existing methods are difficult to cope with the volatility and uncertainty of energy sources, resulting in uneven load distribution, high energy loss and low system efficiency. In this paper, the fuzzy algorithm is used to optimize the multi-energy distribution network, and the efficiency of the system is improved by real-time scheduling and load balancing. The results show that the fuzzy algorithm can effectively improve the utilization rate of renewable energy, reduce energy loss, and improve the stability and load matching degree of the system, which provides an optimization scheme for the new rural multi-energy system.

基于模糊算法的新农村多能源配送网络优化规划
随着新农村对可再生能源需求的不断增加,风电、光伏等多能源系统的整合与优化已成为配电网规划中的关键问题。现有的方法难以应对能源的波动性和不确定性,导致负荷分布不均匀,能量损失大,系统效率低。本文采用模糊算法对多能配电网进行优化,通过实时调度和负载均衡来提高系统的效率。结果表明,模糊算法能有效提高可再生能源利用率,减少能量损耗,提高系统稳定性和负荷匹配度,为新农村多能系统提供优化方案。
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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来源期刊
Energy Informatics
Energy Informatics Computer Science-Computer Networks and Communications
CiteScore
5.50
自引率
0.00%
发文量
34
审稿时长
5 weeks
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