基于博弈论的嵌入式成本分配方法

P. S. Divya, M. Murali, M. S. Kumari, M. Sydulu
{"title":"基于博弈论的嵌入式成本分配方法","authors":"P. S. Divya, M. Murali, M. S. Kumari, M. Sydulu","doi":"10.1109/APCET.2012.6302038","DOIUrl":null,"url":null,"abstract":"In deregulated electricity markets there is a strong need for effective allocation of fixed costs to market participants. The conventional usage based methods currently employed in market scenario may fail to send right economic signals. Hence in this paper, cooperative game theory is applied for power system fixed cost allocation. Increasing competition in the energy market can help maximize customers' payoffs. This can be achieved by applying game theory. In this regard, two solution methodologies such as Nucleolus and Shapley value are adopted in a Multilateral market. Both the methods have their pros and cons, while it can be inferred that Shapley value is a more preferable method when the solution is in the core of the game. In this paper, these methods are applied in case of IEEE 14 bus, New England 39 bus and Indian 75 bus power system and the results obtained are compared with the conventional usage based methods.","PeriodicalId":184844,"journal":{"name":"2012 International Conference on Advances in Power Conversion and Energy Technologies (APCET)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Embedded cost allocation methods using game theory\",\"authors\":\"P. S. Divya, M. Murali, M. S. Kumari, M. Sydulu\",\"doi\":\"10.1109/APCET.2012.6302038\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In deregulated electricity markets there is a strong need for effective allocation of fixed costs to market participants. The conventional usage based methods currently employed in market scenario may fail to send right economic signals. Hence in this paper, cooperative game theory is applied for power system fixed cost allocation. Increasing competition in the energy market can help maximize customers' payoffs. This can be achieved by applying game theory. In this regard, two solution methodologies such as Nucleolus and Shapley value are adopted in a Multilateral market. Both the methods have their pros and cons, while it can be inferred that Shapley value is a more preferable method when the solution is in the core of the game. In this paper, these methods are applied in case of IEEE 14 bus, New England 39 bus and Indian 75 bus power system and the results obtained are compared with the conventional usage based methods.\",\"PeriodicalId\":184844,\"journal\":{\"name\":\"2012 International Conference on Advances in Power Conversion and Energy Technologies (APCET)\",\"volume\":\"122 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-09-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on Advances in Power Conversion and Energy Technologies (APCET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APCET.2012.6302038\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Advances in Power Conversion and Energy Technologies (APCET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APCET.2012.6302038","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

在解除管制的电力市场中,迫切需要将固定成本有效地分配给市场参与者。目前在市场情景中采用的传统的基于使用的方法可能无法发出正确的经济信号。因此,本文将合作博弈论应用于电力系统固定成本的分配。能源市场竞争的加剧有助于客户收益的最大化。这可以通过运用博弈论来实现。在这方面,在多边市场上采用了Nucleolus和Shapley值两种解决方法。这两种方法各有利弊,但可以推断,当解决方案位于游戏核心时,Shapley值是更可取的方法。本文将这些方法应用于ieee14总线、新英格兰39总线和印度75总线的电力系统,并与传统的基于方法的结果进行了比较。
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
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Embedded cost allocation methods using game theory
In deregulated electricity markets there is a strong need for effective allocation of fixed costs to market participants. The conventional usage based methods currently employed in market scenario may fail to send right economic signals. Hence in this paper, cooperative game theory is applied for power system fixed cost allocation. Increasing competition in the energy market can help maximize customers' payoffs. This can be achieved by applying game theory. In this regard, two solution methodologies such as Nucleolus and Shapley value are adopted in a Multilateral market. Both the methods have their pros and cons, while it can be inferred that Shapley value is a more preferable method when the solution is in the core of the game. In this paper, these methods are applied in case of IEEE 14 bus, New England 39 bus and Indian 75 bus power system and the results obtained are compared with the conventional usage based methods.
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
An effective approach for ATC enhancement with FACTS device - A case study Hybrid controller for inverted pendulum Congestion management in a pool model with bilateral contract by generation rescheduling based on PSO A novel linear controller for grid connected doubly fed induction generator (DFIG) Interval type-2 fuzzy logic controller as a power system stabilizer
×
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