多载体能源系统的最佳能源管理,考虑到可再生能源发电的不确定性
Ankit Garg1, K R Niazi1, Shubham Tiwari2
1Department of Electrical Engineering, Malaviya National Institute of Technology, Jaipur, India.
Scientific reports
|July 17, 2025
概括
本研究介绍了多载体能源系统的两阶段优化框架,通过整合可再生能源来提高运营效率和灵活性. 它平衡了成本和排放,大大提高了能源生产灵活性指数.
科学领域:
- 能源系统工程 能源系统工程
- 优化理论 优化理论
- 整合可再生能源的整合
背景情况:
- 越来越多的可再生能源 (风能和太阳能) 透引入了能源系统的可变性挑战.
- 保持经济效率和运营灵活性对于不断增长的可再生能源份额至关重要.
- 管理可再生能源的不确定性对于稳定的能源供应至关重要.
研究的目的:
- 在可再生能源的不确定性下,为多载体能源系统的高效运行制定结构化的方法.
- 为降低成本和提高灵活性提出一个两阶段的多目标优化框架.
- 改善温室气体排放和系统适应性.
主要方法:
- 采用了两阶段的多目标优化框架.
- 基于场景的随机方法解决了可再生能源的不确定性.
- 修改水蒸发算法解决了优化模型.
- 敏感性分析评估价格波动的影响.
主要成果:
- 拟议的框架大大提高了系统的灵活性.
- 平均能源生产灵活性指数 (AEGFI) 增长了27.43%.
- 平均热发电灵活性指数 (ATGFI) 增加了39.91%.
结论:
- 开发的框架有效地平衡了多载体能源系统的成本效益和运营灵活性.
- 它提供了一个全面的解决方案,用于整合可再生能源的高份额.
- 这种方法提高了系统适应可再生能源变化的能力.
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