北海海上风电的相关性挑战:挪威的案例研究
Martin Hjelmeland1, Jonas Kristiansen Nøland2
1Unaffiliated, Kastanjevegen 14, 4051, Sola, Norway.
Scientific reports
|November 1, 2023
概括
这项研究使用增强拉格朗的算法 (ALA) 最小化了北海海上风力发电差异. 专注于挪威北部的互联网将提高风力发电价值,并使生产顺利.
科学领域:
- 能源系统 能源系统
- 可再生能源可再生能源是可再生能源.
- 优化优化 优化优化
背景情况:
- 海上风力发电正在北海迅速扩张.
- 风力发电场之间的相互作用带来了相关性挑战,影响了最佳位置和容量扩展.
- 欧盟互连对于优化和稳定风能发电至关重要.
研究的目的:
- 为了解决北海海上风电的相关性挑战.
- 为了最大限度地减少北海总积累的风力发电的差异.
- 评估互连对风力发电发展的影响,特别是对挪威.
主要方法:
- 应用了增强拉格朗的算法 (ALA) 来解决一个非线性凸的优化问题.
- 利用20年历史的每小时数据集进行分析.
- 开发了挪威海上风电开发的两个场景:一个考虑大陆互连,另一个没有.
主要成果:
- 证明ALA有效地解决了优化问题.
- 展示了挪威北部海上风电扩张在考虑互连时提高整体风电价值的好处.
- 强调,忽视互联连接导致挪威南部 (Sørlige Nordsjø II) 的集中发展.
- 估计风力发电相关系数作为距离的函数.
- 分析了功率偏差和间歇性,显示了对时间分辨率的依赖.
结论:
- 在北海优化海上风电需要解决相关性挑战.
- 风力发电能力的战略定位,如挪威北部,加上互连,最大限度地提高价值和生产稳定性.
- 整合挑战对分析的时间解析敏感.
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