{"title":"基于超短期风预报的蓄风混合系统滚动协调控制","authors":"Yanhong Wang, N. Tai, Wentao Huang, Shuo Liang","doi":"10.1109/APPEEC.2016.7779686","DOIUrl":null,"url":null,"abstract":"To make full use of the battery storage, this paper proposes a rolling coordination control scheme of the wind-storage hybrid system based on the ultra-short term wind forecast. The whole aim is to alleviate the wind power fluctuation and to compensate the forecast error simultaneously. The scheme starts with optimizing the filter coefficient (FC) applied for wind power smoothing with particle swarm optimization (PSO) algorithm. The ultra-short wind power forecast and the battery state of charge (SOC) are employed to generate the optimization model. Further amendment of the forecast error is performed based on the optimal smoothed wind power. A coordination control scheme with active energy feedback to rectify battery output power is put forward. The simulation results indicate that the proposed method is capable of mitigating wind power fluctuation. Meanwhile the performance of the hybrid system in tracking the forecast power is enhanced. Besides, by means of pre-charge and pre-discharge, the SOC of the battery can be well dynamically regulated, which promotes its long term in-service capability.","PeriodicalId":117485,"journal":{"name":"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Rolling coordination control of the wind-storage hybrid system based on the ultra-short term wind forecast\",\"authors\":\"Yanhong Wang, N. Tai, Wentao Huang, Shuo Liang\",\"doi\":\"10.1109/APPEEC.2016.7779686\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To make full use of the battery storage, this paper proposes a rolling coordination control scheme of the wind-storage hybrid system based on the ultra-short term wind forecast. The whole aim is to alleviate the wind power fluctuation and to compensate the forecast error simultaneously. The scheme starts with optimizing the filter coefficient (FC) applied for wind power smoothing with particle swarm optimization (PSO) algorithm. The ultra-short wind power forecast and the battery state of charge (SOC) are employed to generate the optimization model. Further amendment of the forecast error is performed based on the optimal smoothed wind power. A coordination control scheme with active energy feedback to rectify battery output power is put forward. The simulation results indicate that the proposed method is capable of mitigating wind power fluctuation. Meanwhile the performance of the hybrid system in tracking the forecast power is enhanced. Besides, by means of pre-charge and pre-discharge, the SOC of the battery can be well dynamically regulated, which promotes its long term in-service capability.\",\"PeriodicalId\":117485,\"journal\":{\"name\":\"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APPEEC.2016.7779686\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APPEEC.2016.7779686","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Rolling coordination control of the wind-storage hybrid system based on the ultra-short term wind forecast
To make full use of the battery storage, this paper proposes a rolling coordination control scheme of the wind-storage hybrid system based on the ultra-short term wind forecast. The whole aim is to alleviate the wind power fluctuation and to compensate the forecast error simultaneously. The scheme starts with optimizing the filter coefficient (FC) applied for wind power smoothing with particle swarm optimization (PSO) algorithm. The ultra-short wind power forecast and the battery state of charge (SOC) are employed to generate the optimization model. Further amendment of the forecast error is performed based on the optimal smoothed wind power. A coordination control scheme with active energy feedback to rectify battery output power is put forward. The simulation results indicate that the proposed method is capable of mitigating wind power fluctuation. Meanwhile the performance of the hybrid system in tracking the forecast power is enhanced. Besides, by means of pre-charge and pre-discharge, the SOC of the battery can be well dynamically regulated, which promotes its long term in-service capability.