Modelling the efficiency of power system with reserve capacity from variable renewable sources of energy

A. Denysova, V. Nikulshin, V. Wysochin, O. Zhaivoron, Yana V. Solomentseva
{"title":"Modelling the efficiency of power system with reserve capacity from variable renewable sources of energy","authors":"A. Denysova, V. Nikulshin, V. Wysochin, O. Zhaivoron, Yana V. Solomentseva","doi":"10.15276/hait.04.2021.3","DOIUrl":null,"url":null,"abstract":"The paper considers modeling the efficiency of power system with integration large share of variable renewable sources of energy with the account of climate conditions of Ukraine. The proposed methodology with its position between system planning and dispatch simulation contributes to the field of hybrid energy system models. The idea behind the method allows high spatial and temporal resolution as well as the inclusion of the technical details of the power system and its dispatch. The novelty of this method is the usage of a parametric approach is chosen to analyze different variable renewable sources of energy scenarios, precisely every possible its share and mix. This provides insights on the systematic effects of different resource mixes and may serve as a new approach to the analysis of future power system development. The additional novelty aspect allows the optimization of the design of the technical details of the power system with large variable renewable sources shares to have continuous improvement of its energy efficiency. The energy balance model generator is well suited for the analysis of large share of variable renewable sources integration in the power system. The design of technical details of the power system with large variable renewable sources shares was optimized with the energy balance model. The results of numerical modelling demonstrated that at 80% variable renewable sources of energy share, the overproduction is reduced to 20%, down from over 100 % without grid extensions. With it, the necessary wind and solar capacity decreases. Consequently, the possible achievable variable renewable sources of energy share is increased, assuming the same technical potential. According to the results, a Ukrainian grid would allow to increase the possible variable renewable sources of energy share from 50% to 75%.","PeriodicalId":375628,"journal":{"name":"Herald of Advanced Information Technology","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Herald of Advanced Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15276/hait.04.2021.3","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 paper considers modeling the efficiency of power system with integration large share of variable renewable sources of energy with the account of climate conditions of Ukraine. The proposed methodology with its position between system planning and dispatch simulation contributes to the field of hybrid energy system models. The idea behind the method allows high spatial and temporal resolution as well as the inclusion of the technical details of the power system and its dispatch. The novelty of this method is the usage of a parametric approach is chosen to analyze different variable renewable sources of energy scenarios, precisely every possible its share and mix. This provides insights on the systematic effects of different resource mixes and may serve as a new approach to the analysis of future power system development. The additional novelty aspect allows the optimization of the design of the technical details of the power system with large variable renewable sources shares to have continuous improvement of its energy efficiency. The energy balance model generator is well suited for the analysis of large share of variable renewable sources integration in the power system. The design of technical details of the power system with large variable renewable sources shares was optimized with the energy balance model. The results of numerical modelling demonstrated that at 80% variable renewable sources of energy share, the overproduction is reduced to 20%, down from over 100 % without grid extensions. With it, the necessary wind and solar capacity decreases. Consequently, the possible achievable variable renewable sources of energy share is increased, assuming the same technical potential. According to the results, a Ukrainian grid would allow to increase the possible variable renewable sources of energy share from 50% to 75%.
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
基于可变可再生能源储备容量的电力系统效率建模
本文考虑在考虑乌克兰气候条件的情况下,对具有大量可变可再生能源的电力系统的效率进行建模。该方法介于系统规划和调度仿真之间,为混合能源系统模型研究领域做出了贡献。该方法背后的想法允许高空间和时间分辨率,以及包括电力系统及其调度的技术细节。该方法的新颖之处在于使用参数化方法选择不同的可变可再生能源方案,精确地分析其每一种可能的份额和组合。这提供了对不同资源组合的系统影响的见解,并可能作为分析未来电力系统发展的新方法。额外的新颖性方面允许对具有大可变可再生能源份额的电力系统的技术细节设计进行优化,以不断提高其能源效率。能量平衡发电机模型非常适合于分析电力系统中较大份额的可变可再生能源并网问题。利用能量平衡模型对大可变可再生能源份额电力系统的技术细节进行了优化设计。数值模拟结果表明,在80%可变可再生能源份额下,过剩生产减少到20%,低于没有电网扩展的100%以上。有了它,必要的风能和太阳能容量就会减少。因此,假设同样的技术潜力,可能实现的可变可再生能源份额就会增加。根据结果,乌克兰电网将允许将可变可再生能源的份额从50%增加到75%。
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
Method of reliability control of thermoelectric systems to ensure thermal regimes Reaching consensus in group recommendation systems Modeling and forecasting of stock market processes The use of augmented reality for renovation of cultural heritage sites Assessment of the quality of neural network models based on a multifactorial information criterion
×
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