{"title":"考虑风力发电系统不确定性的储能系统实用规模确定方法","authors":"D. Gao, H. Babazadeh, Li Lin","doi":"10.1109/GREENTECH.2013.27","DOIUrl":null,"url":null,"abstract":"In this paper, we introduce a new method for finding the proper size of energy storage system (ESS). This design is dedicated to reduce the size of ESS considering the uncertainty of wind speed. It considers the statistical behavior and also the state of charge (SOC) of ESS. The impact of wind uncertainty on power production and its impact on the SOC of ESS are studied. The optimization is done by using the defined uncertainty limits and some other criteria. The probability density function and cumulative density function are calculated in this method. The presented method provides a significant reduction in the size of ESS in terms of power and energy capacity which consequently reduces a considerable capital cost of ESSs for applications in wind turbine generators. The main goal of this design is to reduce the unnecessarily large capacity of ESS which causes the high cost of ESS.. All the calculations and plotting are done using MATLAB.","PeriodicalId":311325,"journal":{"name":"2013 IEEE Green Technologies Conference (GreenTech)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A Practical Sizing Method of Energy Storage System Considering the Wind Uncertainty for Wind Turbine Generation Systems\",\"authors\":\"D. Gao, H. Babazadeh, Li Lin\",\"doi\":\"10.1109/GREENTECH.2013.27\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we introduce a new method for finding the proper size of energy storage system (ESS). This design is dedicated to reduce the size of ESS considering the uncertainty of wind speed. It considers the statistical behavior and also the state of charge (SOC) of ESS. The impact of wind uncertainty on power production and its impact on the SOC of ESS are studied. The optimization is done by using the defined uncertainty limits and some other criteria. The probability density function and cumulative density function are calculated in this method. The presented method provides a significant reduction in the size of ESS in terms of power and energy capacity which consequently reduces a considerable capital cost of ESSs for applications in wind turbine generators. The main goal of this design is to reduce the unnecessarily large capacity of ESS which causes the high cost of ESS.. All the calculations and plotting are done using MATLAB.\",\"PeriodicalId\":311325,\"journal\":{\"name\":\"2013 IEEE Green Technologies Conference (GreenTech)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-04-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE Green Technologies Conference (GreenTech)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GREENTECH.2013.27\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Green Technologies Conference (GreenTech)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GREENTECH.2013.27","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Practical Sizing Method of Energy Storage System Considering the Wind Uncertainty for Wind Turbine Generation Systems
In this paper, we introduce a new method for finding the proper size of energy storage system (ESS). This design is dedicated to reduce the size of ESS considering the uncertainty of wind speed. It considers the statistical behavior and also the state of charge (SOC) of ESS. The impact of wind uncertainty on power production and its impact on the SOC of ESS are studied. The optimization is done by using the defined uncertainty limits and some other criteria. The probability density function and cumulative density function are calculated in this method. The presented method provides a significant reduction in the size of ESS in terms of power and energy capacity which consequently reduces a considerable capital cost of ESSs for applications in wind turbine generators. The main goal of this design is to reduce the unnecessarily large capacity of ESS which causes the high cost of ESS.. All the calculations and plotting are done using MATLAB.