Yinchi Shao, Haiyu Li, Linlin Wu, Yang Liu, Hanbing Gao, Deyu Li
{"title":"一种实用的基于空间相关性的分布式光伏发电功率预测与误差校正方法","authors":"Yinchi Shao, Haiyu Li, Linlin Wu, Yang Liu, Hanbing Gao, Deyu Li","doi":"10.1109/iSPEC50848.2020.9351207","DOIUrl":null,"url":null,"abstract":"The rapid installation of distributed photovoltaic (PV) in the distribution network has caused challenges to the load forecasting and the safety of the grid, which is urgent to realize accurate prediction of distributed PV at a small cost. A practical power prediction method for low-voltage distributed PV based on the spatial correlation was proposed. Firstly, a reference PV station (RPS) was selected based on the spatial correlation principle of adjacent regions, and the electricity output correlation between distributed PV and RPS was established through historical output data. Then, the predicted power of distributed PV was calculated with the power prediction data of the RPS considering the output correlation. Thirdly, three kinds of error sources related to the proposed method were analyzed. Based on the error analysis, an error correction method for capacity constraint and generating performance difference between distributed PV and RPS was proposed. Some typical distributed PVs in Chengde were demonstrated to verify the effectiveness of the method.","PeriodicalId":403879,"journal":{"name":"2020 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Practical Power Prediction and Error Correction Method for Distributed PV based on the Spatial Correlation\",\"authors\":\"Yinchi Shao, Haiyu Li, Linlin Wu, Yang Liu, Hanbing Gao, Deyu Li\",\"doi\":\"10.1109/iSPEC50848.2020.9351207\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The rapid installation of distributed photovoltaic (PV) in the distribution network has caused challenges to the load forecasting and the safety of the grid, which is urgent to realize accurate prediction of distributed PV at a small cost. A practical power prediction method for low-voltage distributed PV based on the spatial correlation was proposed. Firstly, a reference PV station (RPS) was selected based on the spatial correlation principle of adjacent regions, and the electricity output correlation between distributed PV and RPS was established through historical output data. Then, the predicted power of distributed PV was calculated with the power prediction data of the RPS considering the output correlation. Thirdly, three kinds of error sources related to the proposed method were analyzed. Based on the error analysis, an error correction method for capacity constraint and generating performance difference between distributed PV and RPS was proposed. Some typical distributed PVs in Chengde were demonstrated to verify the effectiveness of the method.\",\"PeriodicalId\":403879,\"journal\":{\"name\":\"2020 IEEE Sustainable Power and Energy Conference (iSPEC)\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE Sustainable Power and Energy Conference (iSPEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/iSPEC50848.2020.9351207\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Sustainable Power and Energy Conference (iSPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iSPEC50848.2020.9351207","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Practical Power Prediction and Error Correction Method for Distributed PV based on the Spatial Correlation
The rapid installation of distributed photovoltaic (PV) in the distribution network has caused challenges to the load forecasting and the safety of the grid, which is urgent to realize accurate prediction of distributed PV at a small cost. A practical power prediction method for low-voltage distributed PV based on the spatial correlation was proposed. Firstly, a reference PV station (RPS) was selected based on the spatial correlation principle of adjacent regions, and the electricity output correlation between distributed PV and RPS was established through historical output data. Then, the predicted power of distributed PV was calculated with the power prediction data of the RPS considering the output correlation. Thirdly, three kinds of error sources related to the proposed method were analyzed. Based on the error analysis, an error correction method for capacity constraint and generating performance difference between distributed PV and RPS was proposed. Some typical distributed PVs in Chengde were demonstrated to verify the effectiveness of the method.