基于使用Homer工具的风力轮机混合模型的智能电力管理系统的技术经济评估:一个案例研究
Kamal Sapkota1, Shabbiruddin2, Neeraj Kanwar3
1Electrical and Electronics Engineering Department, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Gangtok, Sikkim, India.
Scientific reports
|November 14, 2025
概括
这项研究优化了混合风力轮机系统的可靠能源. 混合系统实现了88.4%的电网电力削减,为当地能源需求提供了具有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
- 风能工程 风能工程
- 电力系统优化 电力系统优化
背景情况:
- 评估风能潜力对于可持续发电至关重要.
- 小型风力轮发电机 (WTG) 提供分散的能源解决方案.
- 混合系统对于减轻风力间歇性和确保电力可靠性至关重要.
研究的目的:
- 研究和优化混合风能系统的性能.
- 评估不同的系统配置,将小型WTG与电池,电网和发电机集成在一起.
- 确定最具成本效益和可靠的系统,以满足当地能源需求.
主要方法:
- 使用Homer Pro工具对4x3系统配置进行模拟和优化.
- 根据容量因素选择了三个小型WTG (Excel-10,Montana-3310,SD6-701).
- 将选定的WTG集成到四种混合系统模型中,其中包括电池,电网和发电机组件.
- 从天气监测站 (WMS) 分析实时负载数据和精确的风力资源数据.
主要成果:
- 最优的混合风力轮机系统实现了大约88.4%的公用事业电网电力削减.
- 净当前成本 (NPC) 范围从₹2.1到₹3.5亿,和平衡的能源成本 (LCOE) 范围从₹3.14到₹5.78/kWh.
- 通过改变WTG枢纽高度来进行灵敏度分析,以评估输出功率和成本变化.
结论:
- 混合风力轮机系统有效地减少了电网电力供应的减少,并解决了间歇性.
- 模拟模型为满足当地能源需求 (165.44千瓦时/天) 提供了可行的成本效益的解决方案.
- 枢纽高度变化显著影响发电和经济可行性,提供进一步的优化潜力.
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