{"title":"基于低成本天空成像仪的云运动跟踪系统用于光伏发电斜坡率控制","authors":"Can Zhang, Yang Du, Xiaoyang Chen, D. Lu","doi":"10.1109/IESES.2018.8349927","DOIUrl":null,"url":null,"abstract":"Passing cloud results in rapid changes in solar irradiance. The intermittency of PV power output has drawn serious concern as the PV system installation increases significantly. Consequently, power ramp-rate control (PRRC) is introduced as the regulation to avoid significant power fluctuations. These requirements are driving an increasing demand for short-term PV power forecasting. Sky imager has been used as an effective tool to predict the cloud motion, then to forecast the PV power. However, the high cost of sky imager system and long image processing delay are still hindering its application in PRRC. In this paper, a low-cost cloud motion tracking system has been designed and developed. Ultra short-term cloud motion forecasting has been achieved in sub-minute level which can be used in PRRC application. The proposed method improves the forecasting accuracy by multiple cloud centroids tracking. The effectiveness of the proposed method has been verified by the practical experiment results.","PeriodicalId":146951,"journal":{"name":"2018 IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Cloud motion tracking system using low-cost sky imager for PV power ramp-rate control\",\"authors\":\"Can Zhang, Yang Du, Xiaoyang Chen, D. Lu\",\"doi\":\"10.1109/IESES.2018.8349927\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Passing cloud results in rapid changes in solar irradiance. The intermittency of PV power output has drawn serious concern as the PV system installation increases significantly. Consequently, power ramp-rate control (PRRC) is introduced as the regulation to avoid significant power fluctuations. These requirements are driving an increasing demand for short-term PV power forecasting. Sky imager has been used as an effective tool to predict the cloud motion, then to forecast the PV power. However, the high cost of sky imager system and long image processing delay are still hindering its application in PRRC. In this paper, a low-cost cloud motion tracking system has been designed and developed. Ultra short-term cloud motion forecasting has been achieved in sub-minute level which can be used in PRRC application. The proposed method improves the forecasting accuracy by multiple cloud centroids tracking. The effectiveness of the proposed method has been verified by the practical experiment results.\",\"PeriodicalId\":146951,\"journal\":{\"name\":\"2018 IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)\",\"volume\":\"128 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IESES.2018.8349927\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IESES.2018.8349927","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cloud motion tracking system using low-cost sky imager for PV power ramp-rate control
Passing cloud results in rapid changes in solar irradiance. The intermittency of PV power output has drawn serious concern as the PV system installation increases significantly. Consequently, power ramp-rate control (PRRC) is introduced as the regulation to avoid significant power fluctuations. These requirements are driving an increasing demand for short-term PV power forecasting. Sky imager has been used as an effective tool to predict the cloud motion, then to forecast the PV power. However, the high cost of sky imager system and long image processing delay are still hindering its application in PRRC. In this paper, a low-cost cloud motion tracking system has been designed and developed. Ultra short-term cloud motion forecasting has been achieved in sub-minute level which can be used in PRRC application. The proposed method improves the forecasting accuracy by multiple cloud centroids tracking. The effectiveness of the proposed method has been verified by the practical experiment results.