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

由于分布式光伏电站存在场站位置分散、不易管控等特点,其安装质量通常难以保证。因此,对于电站运维方及电站资产管理方而言,运维和管理时采用的分布式光伏电站的信息往往与实际情况存在一定偏差。电站安装方位角作为分布式光伏电站建模时的重要数据之一,其准确性与电站运行分析结果的可靠性息息相关。提出了一种基于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,通过对分布式光伏电站的运行数据进行分析,在应用蒙特卡罗法的基础上对分布式光伏电站安装方位角进行识别,通过BFGS算法不断对电站运行数据曲线进行逼近,从而实现对其实际安装方位角的准确识别。算例验证结果表明:该安装方位角识别方法的识别精度可达到±0.5%,可以从根本上提高分布式光伏电站运行分析的准确性。

Due to the decentralized location and difficulty in management and control of distributed PV power stations,its installation quality is usually difficult 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 identified 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 identification of the actual installation azimuth angle of distributed PV power stations. The verification results of the example show that the identification accuracy of the installation azimuth angle identification method can reach ±0.5%,which can improve the accuracy of the operation analysis of distributed PV power stations.