一种实用的有功电力经济调度算法

Xingquan Ji, Zhipeng Liu, F. Wen
{"title":"一种实用的有功电力经济调度算法","authors":"Xingquan Ji, Zhipeng Liu, F. Wen","doi":"10.1109/DRPT.2008.4523525","DOIUrl":null,"url":null,"abstract":"With increasing fuel prices and developing of the power industry, the active power economic dispatch (APED) may become a more significant problem. However, electrical power systems and their operation are among the most complex problems of engineering due to their highly nonlinear and computationally difficult environments. As a result, it is difficult in establishing an effective model and algorithm for the APED problem. In this paper, we present a new algorithm based on admittance matrix to solve APED, whose object function is to minimize the fuel cost of generation. The unit capacity limit, the power balance constraint and the active transmission power losses in the power system operation are all considered in this algorithm. We use limitation method to cope with the threshold-crossing problem, and adopt the equal loss of micro-incremental rate principle (ELMIRP) to distribute load. Numerical experiments are included to demonstrate the effectiveness of the proposed algorithm.","PeriodicalId":240420,"journal":{"name":"2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A practicable algorithm for active power economic dispatch\",\"authors\":\"Xingquan Ji, Zhipeng Liu, F. Wen\",\"doi\":\"10.1109/DRPT.2008.4523525\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With increasing fuel prices and developing of the power industry, the active power economic dispatch (APED) may become a more significant problem. However, electrical power systems and their operation are among the most complex problems of engineering due to their highly nonlinear and computationally difficult environments. As a result, it is difficult in establishing an effective model and algorithm for the APED problem. In this paper, we present a new algorithm based on admittance matrix to solve APED, whose object function is to minimize the fuel cost of generation. The unit capacity limit, the power balance constraint and the active transmission power losses in the power system operation are all considered in this algorithm. We use limitation method to cope with the threshold-crossing problem, and adopt the equal loss of micro-incremental rate principle (ELMIRP) to distribute load. Numerical experiments are included to demonstrate the effectiveness of the proposed algorithm.\",\"PeriodicalId\":240420,\"journal\":{\"name\":\"2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-04-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DRPT.2008.4523525\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DRPT.2008.4523525","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

随着燃料价格的上涨和电力工业的发展,有功电力经济调度问题日益突出。然而,电力系统及其运行是最复杂的工程问题之一,由于其高度非线性和计算困难的环境。因此,很难建立一个有效的模型和算法来解决这一问题。本文提出了一种基于导纳矩阵的新算法,其目标函数是发电燃料成本最小。该算法同时考虑了电力系统运行中的机组容量限制、功率均衡约束和主动传输功率损耗。采用限制法处理阈值交叉问题,采用微增量速率等损耗原理(ELMIRP)进行负荷分配。通过数值实验验证了该算法的有效性。
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
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
A practicable algorithm for active power economic dispatch
With increasing fuel prices and developing of the power industry, the active power economic dispatch (APED) may become a more significant problem. However, electrical power systems and their operation are among the most complex problems of engineering due to their highly nonlinear and computationally difficult environments. As a result, it is difficult in establishing an effective model and algorithm for the APED problem. In this paper, we present a new algorithm based on admittance matrix to solve APED, whose object function is to minimize the fuel cost of generation. The unit capacity limit, the power balance constraint and the active transmission power losses in the power system operation are all considered in this algorithm. We use limitation method to cope with the threshold-crossing problem, and adopt the equal loss of micro-incremental rate principle (ELMIRP) to distribute load. Numerical experiments are included to demonstrate the effectiveness of the proposed algorithm.
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
自引率
0.00%
发文量
0
期刊最新文献
Transmission loss allocation using normalized loss weight factors Congestion management based on dynamic zoning and coordinated auctioning method Experimental study on the magnetic-controlled switcher type fault current limiter The simulating research on a improved magnetic shielding type of HTSCFCL Distribution feeder one-line diagrams automatic generation from geographic diagrams based on GIS
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1