Data Restoration And Analysis Of Photovoltaic Projects Based On Monitoring System

In recent years, China began to implement the Golden Sun Demonstration Project. Inorder to facilitate the approval and management of a variety of materials and ensure thesmooth implementation of the Golden Sun Demonstration Project, the governmentdepartments established a monitoring system for renewable energy. As the long transmissiondistance, multi transmission variables, especially in the process of data collection andtransmission system due to objective reasons, the environment and human subjective reasons,data monitoring system will inevitably be abnormal or lose data. To ensure that data can beused to reflect the application of optical architecture truly and timely, in this paper the dataused in monitoring system of the demonstration project are modified and the modified dataare analyzed. By modifying and analyzing the data we can grasp the application state ofphotovoltaic building which has guiding values for government incentive policies,development planning and industrial restructuring to make accurate guidance, inspiration andguide the healthy development of the national PV industry.This task firstly repairs the abnormal and the lost data on the basis of obtained data, thenanalyzes the repaired data to get the status and influencing factors of photovoltaic powergeneration system. At last it analyzes how these influenced factors impact the generatingcapacity.1. Determine the research object and propose the principle of selecting research object;make summary of these parameters’ properties in the building systems, such as photovoltaicpower generation and radiation of time-varying characteristics, and so on.2. Screen data of photovoltaic construction projects in monitoring system, proposefour-step filtered method of data: basic screening method, threshold screening, generatingcapacity mechanism screening, data quality control screening method, complete thepreliminary processing of construction projects data.3. Through summarizing the loss and abnormal situations of optical construction projectdata, design data recovery methods used Gauss algorithm and Marquardt algorithm to achievethe restoration of data, and compare the repaired results.4. Upon completion of the repair data, build photovoltaic building system data analysismodel with the use of principal component analysis to achieve the impact situation analysis ofvarious parameters impacting the photovoltaic power generation.In view of different climate zones and different architectural forms, this paper uses theSAS software to process and analyze the data collected by the monitoring system, through therestoration of data to sort out the complete data, using principal component analysis methodto analyze the application of different project and the influence degree between eachparameter variable. Some evaluation indexes and simulation platform have been obtainedthrough the data analysis, which play an affordable role in the application of solar energy andbuilding energy efficiency.