Long-term generation expansion planning employing dynamic programming and fuzzy techniques

C. Su, Guor-Rurng Lii, Jiann-Jung Chen
{"title":"Long-term generation expansion planning employing dynamic programming and fuzzy techniques","authors":"C. Su, Guor-Rurng Lii, Jiann-Jung Chen","doi":"10.1109/ICIT.2000.854244","DOIUrl":null,"url":null,"abstract":"This research proposes a new method for long-term generation expansion planning. The method adopts a multi-aspect optimal approach which considers the capital cost of the newly added units, the maintenance and fuel costs, environmental impact, reliability, etc. To accommodate the growth of power load, the generation capacity needs to expand to meet the load demand. In order to find an optimal alternative to increase the generation capacity and satisfy different constraints economically and efficiently, the optimization technique is employed. The dynamic programming (DP) as the optimization method is used in this study. Since the requirements of environmental standard and power quality are getting more and more strict, economical factors are no more the unique one to weigh for the generation expansion planning. The environmental protection and reliability are also important factors of the problem. However, types of pollution are very complicated and are not easy to incorporate into the solution model. In this research, we apply the fuzzy theory to represent the state of pollution and judge if a combination of investment is acceptable or not. Moreover by employing the fuzzy technique, we can delete a lot of unnecessary paths and states to reduce the computation burden of DP. Finally we use an example to illustrate and prove the applicability and validity of the presented approach.","PeriodicalId":405648,"journal":{"name":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"32","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIT.2000.854244","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 32

Abstract

This research proposes a new method for long-term generation expansion planning. The method adopts a multi-aspect optimal approach which considers the capital cost of the newly added units, the maintenance and fuel costs, environmental impact, reliability, etc. To accommodate the growth of power load, the generation capacity needs to expand to meet the load demand. In order to find an optimal alternative to increase the generation capacity and satisfy different constraints economically and efficiently, the optimization technique is employed. The dynamic programming (DP) as the optimization method is used in this study. Since the requirements of environmental standard and power quality are getting more and more strict, economical factors are no more the unique one to weigh for the generation expansion planning. The environmental protection and reliability are also important factors of the problem. However, types of pollution are very complicated and are not easy to incorporate into the solution model. In this research, we apply the fuzzy theory to represent the state of pollution and judge if a combination of investment is acceptable or not. Moreover by employing the fuzzy technique, we can delete a lot of unnecessary paths and states to reduce the computation burden of DP. Finally we use an example to illustrate and prove the applicability and validity of the presented approach.
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
采用动态规划和模糊技术的长期发电扩展规划
本研究提出了一种新的长期发电扩展规划方法。该方法采用多方面的优化方法,考虑了新增机组的资金成本、维护和燃料成本、环境影响、可靠性等因素。为了适应电力负荷的增长,发电能力需要扩大以满足负荷需求。为了找到既能经济高效地提高发电能力又能满足不同约束条件的最优方案,采用了优化技术。本研究采用动态规划(DP)作为优化方法。随着环境标准和电能质量要求的日益严格,经济因素已不再是发电规划中唯一需要考虑的因素。环境保护和可靠性也是问题的重要因素。然而,污染类型非常复杂,不容易纳入解决方案模型。在本研究中,我们运用模糊理论来表示污染状态,并判断投资组合是否可接受。此外,利用模糊技术可以删除大量不需要的路径和状态,从而减少了规划的计算负担。最后通过一个算例说明了该方法的适用性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Identification of nonlinear nonautonomous state space systems from input-output measurements On stabilizing gains far digital control systems Developing an experimental mobile robot-ROVEL Failure detection/management in launch vehicle avionics Static UPS failures-origin and possible prevention
×
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