基于免疫激励系统的化工过程优化——以动力锅炉燃烧过程为例

2007 International Conference on Intelligent Systems Applications to Power Systems Pub Date : 2007-11-01 DOI:10.1109/ISAP.2007.4441678

Konrad Wojdan, K. Swirski, Tomasz Chomiak

{"title":"基于免疫激励系统的化工过程优化——以动力锅炉燃烧过程为例","authors":"Konrad Wojdan, K. Swirski, Tomasz Chomiak","doi":"10.1109/ISAP.2007.4441678","DOIUrl":null,"url":null,"abstract":"The article presents an optimization method of combustion process in a power boiler. Immune inspired optimizer SILO is used to minimize CO and NOx emission. This solution is implemented in each of three units of Ostroleka Power Plant (Poland) and in the Newton Power Plant (USA). The result from the second SILO implementation in Newton Power Plant is presented. The results confirm that this solution is effective and usable in practice and it can be a good alternative to MPC controllers.","PeriodicalId":320068,"journal":{"name":"2007 International Conference on Intelligent Systems Applications to Power Systems","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Immune Inspired System for Chemical Process Optimization using the example of a Combustion Process in a Power Boiler\",\"authors\":\"Konrad Wojdan, K. Swirski, Tomasz Chomiak\",\"doi\":\"10.1109/ISAP.2007.4441678\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article presents an optimization method of combustion process in a power boiler. Immune inspired optimizer SILO is used to minimize CO and NOx emission. This solution is implemented in each of three units of Ostroleka Power Plant (Poland) and in the Newton Power Plant (USA). The result from the second SILO implementation in Newton Power Plant is presented. The results confirm that this solution is effective and usable in practice and it can be a good alternative to MPC controllers.\",\"PeriodicalId\":320068,\"journal\":{\"name\":\"2007 International Conference on Intelligent Systems Applications to Power Systems\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 International Conference on Intelligent Systems Applications to Power Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISAP.2007.4441678\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Conference on Intelligent Systems Applications to Power Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISAP.2007.4441678","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 6

摘要

本文介绍了一种动力锅炉燃烧过程的优化方法。使用免疫激励优化器SILO来最大限度地减少CO和NOx排放。该解决方案在Ostroleka电厂(波兰)和Newton电厂(美国)的三个机组中分别实施。介绍了牛顿电厂第二次SILO实施的结果。结果表明，该方案在实际应用中是有效的，可以作为MPC控制器的一种很好的替代方案。

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

Immune Inspired System for Chemical Process Optimization using the example of a Combustion Process in a Power Boiler

The article presents an optimization method of combustion process in a power boiler. Immune inspired optimizer SILO is used to minimize CO and NOx emission. This solution is implemented in each of three units of Ostroleka Power Plant (Poland) and in the Newton Power Plant (USA). The result from the second SILO implementation in Newton Power Plant is presented. The results confirm that this solution is effective and usable in practice and it can be a good alternative to MPC controllers.

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

2007 International Conference on Intelligent Systems Applications to Power Systems

自引率

0.00%

发文量