{"title":"扰动预测集成在微电网能源管理系统中的作用","authors":"C. Bordons, G. Teno, J. J. Márquez, M. Ridao","doi":"10.1109/SEST.2019.8849047","DOIUrl":null,"url":null,"abstract":"This paper analyses the effect of considering disturbances prediction in the development of an Energy Management System (EMS) in a microgrid. The main disturbances that affect the operation of the microgrid are the nondispatchable generation (mainly solar and wind power) and the demand. The EMS is designed using Model Predictive Control (MPC), where generation and demand predictions can be included. A simple state-space model is used and the effect of the predictions on the performance of the EMS of a laboratory microgrid is analyzed. The methodology has been tested on an experimental renewable-energy based microgrid platform which is based on renewable energy sources and hydrogen storage. Simulations under different conditions show that the integration of good predictions can improve the operation cost of running the microgrid.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Effect of the Integration of Disturbances Prediction in Energy Management Systems for Microgrids\",\"authors\":\"C. Bordons, G. Teno, J. J. Márquez, M. Ridao\",\"doi\":\"10.1109/SEST.2019.8849047\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper analyses the effect of considering disturbances prediction in the development of an Energy Management System (EMS) in a microgrid. The main disturbances that affect the operation of the microgrid are the nondispatchable generation (mainly solar and wind power) and the demand. The EMS is designed using Model Predictive Control (MPC), where generation and demand predictions can be included. A simple state-space model is used and the effect of the predictions on the performance of the EMS of a laboratory microgrid is analyzed. The methodology has been tested on an experimental renewable-energy based microgrid platform which is based on renewable energy sources and hydrogen storage. Simulations under different conditions show that the integration of good predictions can improve the operation cost of running the microgrid.\",\"PeriodicalId\":158839,\"journal\":{\"name\":\"2019 International Conference on Smart Energy Systems and Technologies (SEST)\",\"volume\":\"83 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Smart Energy Systems and Technologies (SEST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SEST.2019.8849047\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SEST.2019.8849047","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Effect of the Integration of Disturbances Prediction in Energy Management Systems for Microgrids
This paper analyses the effect of considering disturbances prediction in the development of an Energy Management System (EMS) in a microgrid. The main disturbances that affect the operation of the microgrid are the nondispatchable generation (mainly solar and wind power) and the demand. The EMS is designed using Model Predictive Control (MPC), where generation and demand predictions can be included. A simple state-space model is used and the effect of the predictions on the performance of the EMS of a laboratory microgrid is analyzed. The methodology has been tested on an experimental renewable-energy based microgrid platform which is based on renewable energy sources and hydrogen storage. Simulations under different conditions show that the integration of good predictions can improve the operation cost of running the microgrid.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
