基于太阳能,风能,气储存的岛屿电力系统的可靠性受限,生态最佳的灵敏度分析
Nishant Thakkar1, Priyanka Paliwal2, Deepa Kaliyaperumal3
1Center for Renewable Energy and Microgrid, Huanjiang Laboratory, Zhejiang University, Zhuji, 311800, Zhejiang, China.
Scientific reports
|March 22, 2025
概括
这项研究优化了利用太阳能,风能和气储能用于偏远地区的可再生能源系统. 将总系统成本 (TLCC) 降至最低,为电气化提供了最可靠和最具成本效益的解决方案.
科学领域:
- 可再生能源系统可再生能源系统
- 动力系统优化 动力系统优化
- 储能技术 储能技术是一种储能技术.
背景情况:
- 在全球范围内,为偏远社区提供电力依赖于岛屿可再生能源系统 (RES).
- 太阳能光伏发电站 (SPPS) 和风力发电站 (WDPS) 是常见的,但间歇性的.
- 集成存储对于孤立电力系统的可靠性至关重要.
研究的目的:
- 确定混合型SPPS,WDPS和储存系统 (HSS) 的最佳,可靠和经济有效的尺寸.
- 为了分析系统性能,在印度杰萨尔梅尔 (Jaisalmer) 进行了一个案例研究.
- 为了比较两个目标函数用于系统优化.
主要方法:
- 使用蝶-PSO元启发式优化算法来进行组件大小调整.
- 使用蒙特卡洛模拟 (MCS) 评估系统可靠性,重点关注负载预期损失 (LOLE) 和预期未提供能量 (ENS).
- 对可再生能源和存储组件进行了敏感性分析.
主要成果:
- 增加SPPS容量对LOLE影响13%,对ENS影响14%;WDPS容量对LOLE影响16%,对ENS影响19%.
- 在HSS中,油箱尺寸的调整对LOLE (2%) 和ENS (2.6%) 的影响很小.
- 优化最低总系统成本 (案例1) 证明比替代目标 (案例2) 更可靠和更具成本效益.
结论:
- 混合可再生能源系统与储能可以有效地电气化偏远地区.
- 敏感性分析强调了SPPS和WDPS大小对可靠性和成本的重大影响.
- 尽量减少总系统成本是实现这些系统可靠性和经济效率之间的平衡的首选策略.
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