一种解除管制电力中可用传输能力计算的综合方法

2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies. Proceedings Pub Date : 2004-04-05 DOI:10.1109/DRPT.2004.1338070

B. Mozafari, A. Ranjbar, A. Shirani, A. Barkeseh

{"title":"一种解除管制电力中可用传输能力计算的综合方法","authors":"B. Mozafari, A. Ranjbar, A. Shirani, A. Barkeseh","doi":"10.1109/DRPT.2004.1338070","DOIUrl":null,"url":null,"abstract":"In this paper we discuss an improved method for the calculation of available transfer capability (ATC) in a restructured power system. The ATC calculation is performed through an optimal power flow approach. The objective function is to maximize the sum of the receiving-end load in a specified area as well as to send generation to other control areas while a minimum cost of generation is continuously achieved. The constraints are AC power flow equations and system operation limits. It is assumed that the generation cost curve of each generator is available. A genetic algorithm is used for the optimization process. An IEEE 30 bus test system is used for testing the proposed algorithm and the results are compared with those forms the methods calculated ATC value without considering optimal power dispatch between available generators.","PeriodicalId":427228,"journal":{"name":"2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies. Proceedings","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"27","resultStr":"{\"title\":\"A comprehensive method for available transfer capability calculation in a deregulated power\",\"authors\":\"B. Mozafari, A. Ranjbar, A. Shirani, A. Barkeseh\",\"doi\":\"10.1109/DRPT.2004.1338070\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we discuss an improved method for the calculation of available transfer capability (ATC) in a restructured power system. The ATC calculation is performed through an optimal power flow approach. The objective function is to maximize the sum of the receiving-end load in a specified area as well as to send generation to other control areas while a minimum cost of generation is continuously achieved. The constraints are AC power flow equations and system operation limits. It is assumed that the generation cost curve of each generator is available. A genetic algorithm is used for the optimization process. An IEEE 30 bus test system is used for testing the proposed algorithm and the results are compared with those forms the methods calculated ATC value without considering optimal power dispatch between available generators.\",\"PeriodicalId\":427228,\"journal\":{\"name\":\"2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies. Proceedings\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-04-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"27\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies. Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DRPT.2004.1338070\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies. Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DRPT.2004.1338070","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 27

摘要

本文讨论了一种改进的电力系统重构中可用输电能力(ATC)计算方法。ATC的计算采用最优潮流法。目标函数是使指定区域内的接收端负荷总和最大化，并在持续实现发电成本最小的情况下向其他控制区域发电。约束条件为交流潮流方程和系统运行极限。假设每台发电机的发电成本曲线是可用的。优化过程采用遗传算法。采用ieee30总线测试系统对该算法进行了测试，并与不考虑机组间最优调度的ATC值计算结果进行了比较。

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

A comprehensive method for available transfer capability calculation in a deregulated power

In this paper we discuss an improved method for the calculation of available transfer capability (ATC) in a restructured power system. The ATC calculation is performed through an optimal power flow approach. The objective function is to maximize the sum of the receiving-end load in a specified area as well as to send generation to other control areas while a minimum cost of generation is continuously achieved. The constraints are AC power flow equations and system operation limits. It is assumed that the generation cost curve of each generator is available. A genetic algorithm is used for the optimization process. An IEEE 30 bus test system is used for testing the proposed algorithm and the results are compared with those forms the methods calculated ATC value without considering optimal power dispatch between available generators.

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

2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies. Proceedings

自引率

0.00%

发文量