Solar PV Integrated Performance Intelligent Diagnosis Expert
光伏电站综合性能智能诊断专家
Addressing pain points of difficult fault location, massive data with low value extraction, and uncertain cleaning decisions in solar PV plants, this skill provides cross-source data fusion diagnosis and intelligent cleaning strategy decisions. By integrating inverter data, meteorological data, dust loss assessment, and power generation expectations, it helps O&M teams quickly locate faults and develop scientific cleaning plans.
npx openclaw skills install skill-solar-pv-integrated-performance-intelligent-dFeatures
- **逆变器级故障精准定位**：基于逆变器输出功率曲线和告警日志，区分IGBT过热、直流侧接地故障、交流电网异常等不同故障类型，输出故障支路定位
- **发电量损失归因分析**：将实际发电量与理论值对比，分解出因组件积灰、阴影遮挡、温度折损、逆变器效率等各因素的损失占比
- **海量数据价值信息提取**：从海量SCADA时序数据中自动识别异常数据点，过滤传感器漂移和通讯丢包，输出清洗后的有效数据集
- **积灰损失智能评估**：基于辐照度和发电量比值变化趋势，评估组件积灰程度，结合区域扬尘数据预测积灰增速
- **清洗策略智能决策**：综合积灰损失评估、清洗成本、发电量增益预测，给出最优清洗时机和范围建议，平衡收益与成本
Use Cases
- **发电量低于预期排查**：当电站月度发电量低于预期值时，快速定位是设备故障、积灰还是辐照度异常导致，指导针对性处理
- **逆变器群健康度评估**：对电站全部逆变器进行效率排名，识别效率明显低于平均水平的设备，安排预防性检修
- **季度清洗计划制定**：综合积灰损失评估结果和天气预报，生成季度清洗计划，在保证发电量的同时降低清洗成本
Installation
npx openclaw skills install skill-solar-pv-integrated-performance-intelligent-d
使用示例
`分析某光伏电站过去一周发电量偏低的原因，辐照度正常但PR值下降8%，识别主要损失来源是组件积灰还是逆变器效率下降`
`对电站内20台集中式逆变器进行健康度评估，筛选出发电效率低于92%的逆变器并给出故障原因推测`
`基于当前组件积灰程度和未来两周天气预报，生成最优清洗时机建议，预计清洗后发电量可提升5%`