太阳能光伏电站参数联合优化及应用

Parameter Joint Optimization and Application for Photovoltaic Power Plant

太阳能光伏发电及应用是当前的一大研究热点。太阳能电站设计以往多采用经验值,现在开始要求最佳设计,未来将追求更个性化的设计。本文针对光伏发电系统发电量最大化、设计个性化的要求,开展了光伏电站多参数相互关联优化的研究,进行了电站的应用设计及运行。基于太阳辐射量最大的原则探讨了不同纬度光伏方阵的最佳倾角和方位角的组合,并开展了参数联合优化设计、相关预测及实验研究。获得高度相关的优化曲面、曲线及大数据群,可为太阳能光伏电站的优化设计及运行提供技术支持。

The research and application for solar photovoltaic power generation is a hot research spot in current. In the past, the design of solar power plants often used experience data; now solar power plants start asking for the optimized design; it will pursue more personalized design in the future. Aiming at maximum power output and personalized design of the grid photovoltaic power generation system, a multi-parameter correlated optimization study for the photovoltaic power station was carried out, and a personalized application design and operation of an actual power station was proceeded. The optimal combination of tilt angle and azimuth angle for photovoltaic cell components at different regions based on the principle of maximum solar radiation was investigated, and the design of parameter joint optimization, related prediction and experimental research were performed. The highly relevant optimization of curved surface, curve and the big data group obtained in this work may provide technical support for optimization design and operation for photovoltaic power generation.