光伏电站发电量模型预测与提升策略研究  

Research on the Prediction and Improvement Strategy of Photovoltaic Power Plant Generation Model

作　　者：李铭志 王贵忠 赵凯峰 吕锐 耿庆庆 LI Mingzhi;WANG Guizhong;ZHAO Kaifeng;LV Rui;GENG Qingqing

机构地区：[1]西安热工研究院有限公司,陕西西安710054 [2]华能宁夏能源有限公司,宁夏银川750010 [3]西安益通热工技术服务有限责任公司,陕西西安710001

出　　处：《电力系统装备》2024年第3期25-27,共3页Electric Power System Equipment

摘　　要：我国光伏发电的发展主要以“集中开发,高压并网,远距离送出”的电力输出模式为主,但是在生产活动中,太阳能辐射本身具有较大的不确定性,因此需要准确把控光伏电站发电量的影响因素及太阳能板的位置情况。文章综述了影响光伏电站发电量的因素,明确了光伏电站发电量模型的预测方法及提升策略,最后以实际的模拟案例为例,开展光伏电站光伏板的位置分析。结果表明,西安地区的太阳能光伏板最优水平角为56.68°,最优方位角为–3.87°。The development of photovoltaic power generation in China is mainly based on the power output mode of"centralized development,high voltage grid-connected,long-distance transmission",but in the production activities,the solar radiation itself has a large uncertainty,so it is necessary to accurately control the factors affecting the power generation of photovoltaic power stations and the location of solar panels.This paper summarizes the factors that affect the power generation of photovoltaic power stations,defines the prediction method and improvement strategy of the power generation model of photovoltaic power stations,and finally carries out the location analysis of photovoltaic panels of photovoltaic power stations with actual simulation cases.The results show that the optimal horizontal Angle and azimuth of solar photovoltaic panels in Xi'an area are 56.68°and–3.87°.

关 键 词：TRNSYS 光伏电站 Hooke-Jeeves算法 功率因素 

分 类 号：TM615[电气工程—电力系统及自动化]