Electricity market price calculation model and application based on system power generation cost

Zhan Zhiming, Tang Yang, Liu Yifeng, Chen Meng, Huang Shanshan, Ye Ze, Li Na
{"title":"Electricity market price calculation model and application based on system power generation cost","authors":"Zhan Zhiming, Tang Yang, Liu Yifeng, Chen Meng, Huang Shanshan, Ye Ze, Li Na","doi":"10.1109/ICoSR57188.2022.00015","DOIUrl":null,"url":null,"abstract":"The cost of electricity is a key factor for the formation of electricity prices. In this work, we designed a cost model for calculating the electricity price that can calculate the hourly generation cost of the system, provides a potentially more reasonable explanation for the fluctuations of the electricity price. The total system generation capacity cost is shared according to the duration of the load and the load level by the peak-load responsibility method, obtained the system capacity cost per hourly kWh. Then, according to the power supply structure and the power output of each power supply in the system, calculating the marginal cost of the system per hourly kWh of electricity. Adding the system marginal cost to the system capacity cost to get the generation cost per unit of electricity. Finally, we used the actual data of Province A in Central China as a simulation example to verify the validity of the model. The model designed in this paper can provide a scientific basis for market players to make offer prices and government departments to regulate prices.","PeriodicalId":234590,"journal":{"name":"2022 International Conference on Service Robotics (ICoSR)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Service Robotics (ICoSR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICoSR57188.2022.00015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The cost of electricity is a key factor for the formation of electricity prices. In this work, we designed a cost model for calculating the electricity price that can calculate the hourly generation cost of the system, provides a potentially more reasonable explanation for the fluctuations of the electricity price. The total system generation capacity cost is shared according to the duration of the load and the load level by the peak-load responsibility method, obtained the system capacity cost per hourly kWh. Then, according to the power supply structure and the power output of each power supply in the system, calculating the marginal cost of the system per hourly kWh of electricity. Adding the system marginal cost to the system capacity cost to get the generation cost per unit of electricity. Finally, we used the actual data of Province A in Central China as a simulation example to verify the validity of the model. The model designed in this paper can provide a scientific basis for market players to make offer prices and government departments to regulate prices.
基于系统发电成本的电力市场价格计算模型及应用
电力成本是电价形成的关键因素。在这项工作中,我们设计了一个计算电价的成本模型,可以计算出系统的小时发电成本,为电价的波动提供了一个可能更合理的解释。根据负荷持续时间和负荷水平,采用峰负荷责任法对系统发电总容量成本进行分摊,得到每小时千瓦时的系统容量成本。然后,根据电源结构和系统中各电源的输出功率,计算系统每小时千瓦时电量的边际成本。将系统边际成本与系统容量成本相加,得到单位电量的发电成本。最后,以中部A省的实际数据为仿真实例,验证了模型的有效性。本文所设计的模型可以为市场主体制定报价和政府部门进行价格调控提供科学依据。
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 求助全文
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:604180095
Book学术官方微信