基于区域光伏发电曲线相似度的异常运行分析

Operational Anomaly Analysis Based on Regional Photovoltaic Power Generation Curve Similarity

随着整县屋顶光伏推进,光伏迎来新一轮发展机遇。光伏装机容量逐渐增多,光伏发电暴露出各种各样运行问题,由于光伏发电系统长期在室外运行,受恶劣气候环境的影响及日常缺乏维护就有可能埋下安全隐患。一方面,光伏组件长期灰尘堆积遮挡会使光伏光电转换效率下降,另一方面,导线、电缆等电气元件会受到环境腐蚀、动物啃食等因素影响而出现系统损坏停机,严重情况下可能会引起短路导致火灾。此外后期光伏项目缺乏数据监测、分析及专业运维,导致部分光伏项目效益不及预期。因此,为及时发现故障、降低财产损失及人身安全风险,保障光伏安全高效运行,本文提出以区域光伏集群为研究对象,精准刻画区域光伏聚合特性曲线,基于发电曲线相似度和关联性进一步分析单个光伏项目的运行状态。

With the promotion of rooftop photovoltaic throughout the county, a new round of photovoltaic development opportunities arrived. With the increase of photovoltaic installed capacity, photovoltaic power generation has exposed various operational problems. Because photovoltaic power generation system operates outdoors for a long time, it may have hidden safety risks due to the influence of harsh climate environment and the lack of daily maintenance. On the one hand, long-term dust accumulation of photovoltaic modules will reduce the photovoltaic conversion efficiency. On the other hand, wires, cables and other electrical components will be affected by environmental corrosion, animal eating and other factors, which will cause system damage and downtime.In severe cases, a short circuit may cause a fire. In addition, the late photovoltaic projects lack data monitoring, analysis and professional operation so that some photovoltaic projects benefit less than expected. So, in order to timely detect failures, reduce property losses and personal safety risks, ensure the safe and efficient operation of photovoltaic, this paper proposes to take regional photovoltaic cluster as the research object, accurately describe the characteristic curve of regional photovoltaic aggregation, and further analyze the operating status of a single photovoltaic project based on the similarity and correlation of power generation curve.