可再生能源大规模参与的KSA电力系统技术评估

J. Yasin, Ashrafi Ali., Muhammad Nihal Hussain, Malek M. Al-Hajji, Majid Farhan, H. Qazi, S. Temtem, Sebastian Stepanecsu, Garcha Hardeep, Fabian Georges, S. Minić
{"title":"可再生能源大规模参与的KSA电力系统技术评估","authors":"J. Yasin, Ashrafi Ali., Muhammad Nihal Hussain, Malek M. Al-Hajji, Majid Farhan, H. Qazi, S. Temtem, Sebastian Stepanecsu, Garcha Hardeep, Fabian Georges, S. Minić","doi":"10.1109/SASG57022.2022.10201226","DOIUrl":null,"url":null,"abstract":"In line with the objectives of Vision 2030 laid out by the Kingdom of Saudi Arabia (KSA), ambitious levels of Renewable Energy Sources (RES) need to be integrated into the network. This objective requires a systematic analysis of the impacts of renewable sources on the network across varying load growth & renewable deployment scenarios.Amongst other aspects, it includes ensuring the adequacy of the generation mix to counter renewable variability & uncertainty and a cost-beneficial reduction of the curtailment levels through optimal allocation of RES and storage resources. This optimal allocation is performed while considering the capacity of the transmission system and, where required, strengthening the transmission network to make it N−1 secure for each of the expected network states across the analysis scenario.The augmentation and testing of a transmission system that meets these security requirements are conducted by implementing a DC load flow calculation spanning each hour of the year. The outcomes of this analysis form the basis for further steady-state (AC) and dynamic analysis of the network.","PeriodicalId":206589,"journal":{"name":"2022 Saudi Arabia Smart Grid (SASG)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Technical assessment of KSA Power System with large participation of renewables\",\"authors\":\"J. Yasin, Ashrafi Ali., Muhammad Nihal Hussain, Malek M. Al-Hajji, Majid Farhan, H. Qazi, S. Temtem, Sebastian Stepanecsu, Garcha Hardeep, Fabian Georges, S. Minić\",\"doi\":\"10.1109/SASG57022.2022.10201226\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In line with the objectives of Vision 2030 laid out by the Kingdom of Saudi Arabia (KSA), ambitious levels of Renewable Energy Sources (RES) need to be integrated into the network. This objective requires a systematic analysis of the impacts of renewable sources on the network across varying load growth & renewable deployment scenarios.Amongst other aspects, it includes ensuring the adequacy of the generation mix to counter renewable variability & uncertainty and a cost-beneficial reduction of the curtailment levels through optimal allocation of RES and storage resources. This optimal allocation is performed while considering the capacity of the transmission system and, where required, strengthening the transmission network to make it N−1 secure for each of the expected network states across the analysis scenario.The augmentation and testing of a transmission system that meets these security requirements are conducted by implementing a DC load flow calculation spanning each hour of the year. The outcomes of this analysis form the basis for further steady-state (AC) and dynamic analysis of the network.\",\"PeriodicalId\":206589,\"journal\":{\"name\":\"2022 Saudi Arabia Smart Grid (SASG)\",\"volume\":\"50 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 Saudi Arabia Smart Grid (SASG)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SASG57022.2022.10201226\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Saudi Arabia Smart Grid (SASG)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SASG57022.2022.10201226","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

根据沙特阿拉伯王国(KSA)制定的2030年愿景目标,需要将雄心勃勃的可再生能源(RES)整合到网络中。这一目标需要系统地分析可再生能源在不同负载增长和可再生能源部署场景下对网络的影响。除其他方面外,它还包括确保发电组合的充分性,以应对可再生能源的可变性和不确定性,以及通过优化可再生能源和存储资源来降低弃电水平的成本效益。这种最优分配是在考虑传输系统容量的同时进行的,并在需要时加强传输网络,使其在整个分析场景中的每个预期网络状态下都具有N−1安全性。为了增强和测试满足这些安全要求的输电系统,我们实施了一年中每小时的直流负荷流计算。这一分析的结果构成了进一步的稳态(AC)和动态分析网络的基础。
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
Technical assessment of KSA Power System with large participation of renewables
In line with the objectives of Vision 2030 laid out by the Kingdom of Saudi Arabia (KSA), ambitious levels of Renewable Energy Sources (RES) need to be integrated into the network. This objective requires a systematic analysis of the impacts of renewable sources on the network across varying load growth & renewable deployment scenarios.Amongst other aspects, it includes ensuring the adequacy of the generation mix to counter renewable variability & uncertainty and a cost-beneficial reduction of the curtailment levels through optimal allocation of RES and storage resources. This optimal allocation is performed while considering the capacity of the transmission system and, where required, strengthening the transmission network to make it N−1 secure for each of the expected network states across the analysis scenario.The augmentation and testing of a transmission system that meets these security requirements are conducted by implementing a DC load flow calculation spanning each hour of the year. The outcomes of this analysis form the basis for further steady-state (AC) and dynamic analysis of the network.
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
SASG 2022 Cover Page Hardware Demonstration of a Coding-Based Attack Detection/Correction Metering System Model-free Reinforcement Learning for Demand Response in PV-rich Distribution Systems PV and Gas Storage Solution to Optimize and Enhance Power/Gas System Reliability Optimal Power Flow Application On Load Increase, Contingency Constraint And Wind Integration Considering Uncertainty Of Wind
×
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