电热加热装置的分布式优化

2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) Pub Date : 2016-10-01 DOI:10.1109/ISGTEurope.2016.7856258

M. Diekerhof, S. Schwarz, A. Monti

{"title":"电热加热装置的分布式优化","authors":"M. Diekerhof, S. Schwarz, A. Monti","doi":"10.1109/ISGTEurope.2016.7856258","DOIUrl":null,"url":null,"abstract":"This paper describes a distributed optimization algorithm for scheduling the operation of electro-thermal heating units, such as heat pumps (HP) or electric heaters (EH) within a day-ahead (DA) operation for covering space heating demand. Flexibility for Demand Side Management (DSM) is realized through thermal storage on building level. The distributed optimization is performed offline by using the Alternating Direction Method of Multipliers algorithm (ADMM). For the distributed optimization also a suitable architecture is adapted and described. The optimization algorithm is tested within an example city district scenario and evaluated according to defined metrics.","PeriodicalId":330869,"journal":{"name":"2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Distributed optimization for electro-thermal heating units\",\"authors\":\"M. Diekerhof, S. Schwarz, A. Monti\",\"doi\":\"10.1109/ISGTEurope.2016.7856258\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a distributed optimization algorithm for scheduling the operation of electro-thermal heating units, such as heat pumps (HP) or electric heaters (EH) within a day-ahead (DA) operation for covering space heating demand. Flexibility for Demand Side Management (DSM) is realized through thermal storage on building level. The distributed optimization is performed offline by using the Alternating Direction Method of Multipliers algorithm (ADMM). For the distributed optimization also a suitable architecture is adapted and described. The optimization algorithm is tested within an example city district scenario and evaluated according to defined metrics.\",\"PeriodicalId\":330869,\"journal\":{\"name\":\"2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)\",\"volume\":\"99 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISGTEurope.2016.7856258\",\"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 Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISGTEurope.2016.7856258","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 10

摘要

本文提出了一种分布式优化算法，用于安排热泵(HP)或电加热器(EH)等电热供暖设备在一天前的运行，以满足空间供暖需求。需求侧管理(DSM)的灵活性是通过建筑层面的蓄热实现的。采用乘法器交替方向算法(ADMM)离线进行分布式优化。对于分布式优化，还采用了一种合适的体系结构，并进行了描述。优化算法在一个示例城市区域场景中进行了测试，并根据定义的指标进行了评估。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Distributed optimization for electro-thermal heating units

This paper describes a distributed optimization algorithm for scheduling the operation of electro-thermal heating units, such as heat pumps (HP) or electric heaters (EH) within a day-ahead (DA) operation for covering space heating demand. Flexibility for Demand Side Management (DSM) is realized through thermal storage on building level. The distributed optimization is performed offline by using the Alternating Direction Method of Multipliers algorithm (ADMM). For the distributed optimization also a suitable architecture is adapted and described. The optimization algorithm is tested within an example city district scenario and evaluated according to defined metrics.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)

自引率

0.00%

发文量