太阳能Issue(10)：59-67,9.DOI:10.19911/j.1003-0417.tyn20210908.02
基于BFGS算法及蒙特卡罗法的分布式光伏电站安装方位角识别方法
A METHOD FOR IDENTIFYING INSTALLATION AZIMUTH ANGLE OF DISTRIBUTED PV POWER STATIONS BASED ON BFGS ALGORITHM AND MONTE CARLO METHOD
刘略1
作者信息
- 1. 无锡英臻科技有限公司,无锡 214135
- 折叠
摘要
Abstract
Due to the decentralized location and dififculty in management and control of distributed PV power stations，its installation quality is usually dififcult to guarantee. Therefore，for the power station operation and maintenance party and the power station asset manager，the information of the distributed PV power stations used in the operation，maintenance and management is often biased from the actual situation. As one of the important data of distributed PV power station modeling，the accuracy of power station installation azimuth angle is closely related to the reliability of power station operation analysis results. In this paper，a method for identifying the installation azimuth angle of distributed PV power stations based on BFGS algorithm and Monte Carlo method is proposed. Through the analysis of the operation data of distributed PV power stations，the installation azimuth angle of distributed PV power stations is identiifed based on the application of Monte Carlo method，and BFGS algorithm is used to continuously approximate the operation data curve of power station，so as to achieve accurate identiifcation of the actual installation azimuth angle of distributed PV power stations. The veriifcation results of the example show that the identiifcation accuracy of the installation azimuth angle identiifcation method can reach ±0.5%，which can improve the accuracy of the operation analysis of distributed PV power stations.关键词
分布式光伏/安装方位角/蒙特卡罗法/BFGS算法/运行分析Key words
distributed PV power station/installation azimuth angle/Monte Carlo method/BFGS algorithm/operation analysis分类
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刘略..基于BFGS算法及蒙特卡罗法的分布式光伏电站安装方位角识别方法
[J].太阳能,2022,(10):59-67,9.
