灵活的可再生能源综合能源系统能力,以提高电压稳定性,提高电力质量和智能电网的经济环境运行
Alireza Hassankashi1, Anoosh Dini1, Sasan Pirouzi2
1Department of Electrical and Electronics Engineering, Iran University of Science and Technology, Tehran, Iran.
Scientific reports
|November 29, 2025
概括
这项研究优化了可再生能源系统的稳定性和效率,显著降低成本,排放和能源损失,即使在 45% 的不确定性. 智能配电系统确保了强大的电力管理.
科学领域:
- 电气工程 电气工程
- 电力系统工程 电力系统工程
- 环境科学 环境科学
背景情况:
- 将可再生能源整合到智能配电系统中,在电力管理,和补偿和电压稳定方面带来了挑战.
- 现有的模型往往难以解释可再生发电,电动汽车负载和能源价格的不确定性.
研究的目的:
- 开发一个强大的优化模型来管理灵活的集成能源系统中的电力.
- 为了尽量减少运营成本,环境排放,电压波和电压稳定性指数.
- 确保系统抵御可再生能源产量和需求的不确定性.
主要方法:
- 制定了一个确定性模型,以优化四个关键目标.
- 适应性强大的优化技术被用来处理系统的不确定性.
- 整合了线性交流波最佳功率流和电压稳定性极限.
主要成果:
- 拟议的系统表现出高达45%的预测错误率的稳定性.
- 实现了显著的降低:57.7%的电压下降,49.3%的排放,55.2%的运营成本,45.4%的能量损耗,48.6%的和指数.
- 在45%的不确定性下,电压稳定性提高了15%.
结论:
- 适应性强大的优化方法确保智能配电系统具有高可再生能源透率的弹性运行.
- 该模型在不确定的条件下有效平衡经济,环境和技术目标.
- 这些发现支持将可再生能源有效和稳定地整合到现代电网中.
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