发电计划自由化方案:一种基于多目标和MPEC的方法

Q. Ma, Ji-song Zhu, Dijie Huang, Cheng Huang, Z. Jing, Baike Chen, Yuhui Song
{"title":"发电计划自由化方案:一种基于多目标和MPEC的方法","authors":"Q. Ma, Ji-song Zhu, Dijie Huang, Cheng Huang, Z. Jing, Baike Chen, Yuhui Song","doi":"10.1109/EI250167.2020.9346870","DOIUrl":null,"url":null,"abstract":"Planned electricity (as opposed to market electricity) plays an important role in China’s electricity market reform process. This article provides a multi-objective and mathematical programs with equilibrium constraints (MPEC) based method for power generation plan liberalization from power grid company’s perspective. As a decision maker, power grid companies pursue their own profit maximization and consider the market survival of high-cost units. The weighted method is used to transform the multi-objective to a single objective. The proposed method combines power grid company decision and power market clearing together, through the bilevel optimization approach to make the liberalization scheme can satisfy the power grid companies own profit maximization as well as the market existence problem of high-cost units. An illustration case is designed to show how the method works. At the same time, different parameters also be simulated. Case study shows that the proposed method can help power grid companies to make the decision of power generation liberalization scheme according to its preference. At last, the conclusion of the example analysis and the prospect of the future research are given.","PeriodicalId":339798,"journal":{"name":"2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Generation Plan Liberalization Scheme: A Method Based on Multi-objective and MPEC\",\"authors\":\"Q. Ma, Ji-song Zhu, Dijie Huang, Cheng Huang, Z. Jing, Baike Chen, Yuhui Song\",\"doi\":\"10.1109/EI250167.2020.9346870\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Planned electricity (as opposed to market electricity) plays an important role in China’s electricity market reform process. This article provides a multi-objective and mathematical programs with equilibrium constraints (MPEC) based method for power generation plan liberalization from power grid company’s perspective. As a decision maker, power grid companies pursue their own profit maximization and consider the market survival of high-cost units. The weighted method is used to transform the multi-objective to a single objective. The proposed method combines power grid company decision and power market clearing together, through the bilevel optimization approach to make the liberalization scheme can satisfy the power grid companies own profit maximization as well as the market existence problem of high-cost units. An illustration case is designed to show how the method works. At the same time, different parameters also be simulated. Case study shows that the proposed method can help power grid companies to make the decision of power generation liberalization scheme according to its preference. At last, the conclusion of the example analysis and the prospect of the future research are given.\",\"PeriodicalId\":339798,\"journal\":{\"name\":\"2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EI250167.2020.9346870\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EI250167.2020.9346870","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

计划电力(相对于市场电力)在中国电力市场改革过程中发挥着重要作用。本文从电网公司的角度出发,提出了一种基于平衡约束的多目标数学规划的发电计划自由化方法。电网公司作为决策者,追求自身利润最大化,考虑高成本机组的市场生存。采用加权法将多目标转化为单目标。提出的方法将电网公司决策与电力市场出清相结合,通过双层优化方法使自由化方案既能满足电网公司自身利润最大化,又能满足高成本机组的市场存在问题。设计了一个实例来说明该方法是如何工作的。同时,还对不同的参数进行了仿真。实例分析表明,该方法可以帮助电网公司根据其偏好做出发电自由化方案的决策。最后,给出了算例分析的结论和对未来研究的展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Generation Plan Liberalization Scheme: A Method Based on Multi-objective and MPEC
Planned electricity (as opposed to market electricity) plays an important role in China’s electricity market reform process. This article provides a multi-objective and mathematical programs with equilibrium constraints (MPEC) based method for power generation plan liberalization from power grid company’s perspective. As a decision maker, power grid companies pursue their own profit maximization and consider the market survival of high-cost units. The weighted method is used to transform the multi-objective to a single objective. The proposed method combines power grid company decision and power market clearing together, through the bilevel optimization approach to make the liberalization scheme can satisfy the power grid companies own profit maximization as well as the market existence problem of high-cost units. An illustration case is designed to show how the method works. At the same time, different parameters also be simulated. Case study shows that the proposed method can help power grid companies to make the decision of power generation liberalization scheme according to its preference. At last, the conclusion of the example analysis and the prospect of the future research are given.
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
×
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