一种解决经济负荷调度问题的快速调度方法

Q1 Mathematics
C. K. Wachjoe, Hermagasantos Zein, J. Raharjo
{"title":"一种解决经济负荷调度问题的快速调度方法","authors":"C. K. Wachjoe, Hermagasantos Zein, J. Raharjo","doi":"10.15866/ireaco.v13i1.18130","DOIUrl":null,"url":null,"abstract":"Optimal scheduling of the generating units in one hour ahead considerably affects the electricity cost because the fuel cost component will bring up the economic load dispatch problem. Fuel cost is an essential parameter to calculate the optimal cost function of the power systems subject to the operating constraints and transmission loss. Generally, the economic load dispatch problem is resolved through the iteration step and using many variables so that it uses long computation time. The accuracy can also be low because the point of the solution can fall near the minimum local point. This paper proposes a method to provide better efficiency and accuracy of the economic load dispatch problem. The methodology forms a fuel cost function in the quadratic equation mathematically derived in order to obtain a faster solution without iteration processes. The B-loss matrix determines the transmission loss after receiving the optimal solution without considering transmission losses. The method validation simulates the economic load dispatch for the 26-Bus power system and the 6-generating units. After comparing with the Genetic Algorithm, the proposed method can save fuel costs significantly of about $ 29876.46 in 24 hours, while computing time in executing the application program is short enough, namely 0.15 seconds.","PeriodicalId":38433,"journal":{"name":"International Review of Automatic Control","volume":"13 1","pages":"12-18"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Fast Scheduling Method to Solve Economic Load Dispatch Problem\",\"authors\":\"C. K. Wachjoe, Hermagasantos Zein, J. Raharjo\",\"doi\":\"10.15866/ireaco.v13i1.18130\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Optimal scheduling of the generating units in one hour ahead considerably affects the electricity cost because the fuel cost component will bring up the economic load dispatch problem. Fuel cost is an essential parameter to calculate the optimal cost function of the power systems subject to the operating constraints and transmission loss. Generally, the economic load dispatch problem is resolved through the iteration step and using many variables so that it uses long computation time. The accuracy can also be low because the point of the solution can fall near the minimum local point. This paper proposes a method to provide better efficiency and accuracy of the economic load dispatch problem. The methodology forms a fuel cost function in the quadratic equation mathematically derived in order to obtain a faster solution without iteration processes. The B-loss matrix determines the transmission loss after receiving the optimal solution without considering transmission losses. The method validation simulates the economic load dispatch for the 26-Bus power system and the 6-generating units. After comparing with the Genetic Algorithm, the proposed method can save fuel costs significantly of about $ 29876.46 in 24 hours, while computing time in executing the application program is short enough, namely 0.15 seconds.\",\"PeriodicalId\":38433,\"journal\":{\"name\":\"International Review of Automatic Control\",\"volume\":\"13 1\",\"pages\":\"12-18\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Review of Automatic Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15866/ireaco.v13i1.18130\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Mathematics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Review of Automatic Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15866/ireaco.v13i1.18130","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 0

摘要

发电机组提前1小时优化调度对电力成本影响很大,因为燃料成本部分会提出经济负荷调度问题。燃料成本是计算受运行约束和传输损耗影响的电力系统最优成本函数的重要参数。一般的经济负荷调度问题都是通过迭代步骤和使用多变量来解决的,计算时间长。精度也可能较低,因为解的点可能落在局部最小点附近。本文提出了一种提高经济负荷调度效率和准确性的方法。该方法在数学推导的二次方程中形成一个燃料成本函数,以便在不迭代的情况下获得更快的解。在不考虑传输损耗的情况下,b -损耗矩阵确定了接收到最优解后的传输损耗。该方法对26母线电力系统和6台机组的经济负荷调度进行了仿真验证。与遗传算法相比,该方法在24小时内可显著节省燃料成本约29876.46美元,同时应用程序执行的计算时间足够短,为0.15秒。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Fast Scheduling Method to Solve Economic Load Dispatch Problem
Optimal scheduling of the generating units in one hour ahead considerably affects the electricity cost because the fuel cost component will bring up the economic load dispatch problem. Fuel cost is an essential parameter to calculate the optimal cost function of the power systems subject to the operating constraints and transmission loss. Generally, the economic load dispatch problem is resolved through the iteration step and using many variables so that it uses long computation time. The accuracy can also be low because the point of the solution can fall near the minimum local point. This paper proposes a method to provide better efficiency and accuracy of the economic load dispatch problem. The methodology forms a fuel cost function in the quadratic equation mathematically derived in order to obtain a faster solution without iteration processes. The B-loss matrix determines the transmission loss after receiving the optimal solution without considering transmission losses. The method validation simulates the economic load dispatch for the 26-Bus power system and the 6-generating units. After comparing with the Genetic Algorithm, the proposed method can save fuel costs significantly of about $ 29876.46 in 24 hours, while computing time in executing the application program is short enough, namely 0.15 seconds.
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
International Review of Automatic Control
International Review of Automatic Control Engineering-Control and Systems Engineering
CiteScore
2.70
自引率
0.00%
发文量
17
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信