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Solar PV Meteorological-Efficiency Correlation Intelligence System

光伏电站气象-发电效率关联智能分析系统

Addressing pain points of PV power station operation and maintenance 'only looking at power generation data, not understanding environmental variables' leading to inaccurate PR value calculation and blind troubleshooting. Provides correlation analysis between multi-dimensional meteorological data such as irradiance/temperature/wind speed and power generation efficiency, quantitative assessment of dust accumulation losses, and analysis of environmental factor contributions to improve PV station intelligent operation and maintenance decision-making.

能源矿业数字化光伏电站气象-发电效率关联智能分析系统
Install Command
npx openclaw skills install industry-solar-pv-meteorological-efficiency-intelligence
Version
1.0.0
Author
shuzhihui
Updated
Fri Jun 05 2026 00:00:00 GMT+0000 (Coordinated Universal Time)

Features

- **气象-发电关联建模**: 接入辐照度、环境温度、组件温度、湿度、风速等多维气象数据，建立气象-功率响应模型，剔除环境因素影响后计算电站真实发电性能

- **PR值精准核算**: 基于实测气象数据计算理论发电量，对比实际发电量精确核算PR值，避免因环境差异导致的PR计算偏差，输出日/周/月PR值趋势分析

- **积灰损失量化评估**: 分析组件透光率下降与辐照、发电量关系，量化积灰对发电效率的损失贡献，预测最佳清洁时机，给出清洁收益预估

- **环境因素贡献度分析**: 分解温度衰减、辐照波动、积灰、阴影遮挡等各环境因素对发电效率的影响程度，为故障排查提供环境归因依据

- **电站性能对标与诊断**: 将电站发电性能与环境条件相似的标杆电站对比，识别异常发电模式，生成性能诊断报告和优化建议

Use Cases

  • **PR值异常诊断**：某光伏电站本周PR值从82%下降到76%，运维人员调用本技能分析，技能识别出主要是组件温度偏高导致效率下降，同时积灰损失增加，定位到组串表面积灰是主要问题，建议尽快安排清洗
  • **环境归因故障排查**：某区域逆变器发电量偏低，以往只能判断设备故障，现在通过气象-发电关联分析，判断是当日辐照偏低导致的正常发电下降还是设备实际问题，减少误判
  • **清洁经济性决策**：综合积灰损失、清洁成本、发电增益预测，评估某电站当前是否值得进行清洗，计算清洁后预计PR提升幅度和投资回收期

    • Installation

    npx openclaw skills install industry-solar-pv-meteorological-efficiency-intelligence

    Usage Examples

    `分析西北光伏电站A区域本月发电效率与气象因素关联性`

    `计算电站当前积灰损失比例和最佳清洁时间窗口`

    `对比电站理论PR与实际PR，分析偏差原因`

    `诊断某组串发电偏低是环境因素还是设备问题`

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