考虑大规模可再生能源储能系统的混合HVAC/DC输电扩容规划,以缓解网络相关灵活性不足

IF 5 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Mojtaba Shivaie
{"title":"考虑大规模可再生能源储能系统的混合HVAC/DC输电扩容规划,以缓解网络相关灵活性不足","authors":"Mojtaba Shivaie","doi":"10.1016/j.ijepes.2025.111148","DOIUrl":null,"url":null,"abstract":"<div><div>This paper presents a new multi-period hybrid high-voltage alternating/direct current (HVAC/DC) model for transmission capacity expansion planning to address network-associated flexibility (NAF) insufficiency. For this purpose, the proposed model, from a new viewpoint, allows the reinforcement and/or installation of HVAC and multiterminal voltage source converter-based HVDC transmission lines, as well as the deployment of composite solar and wind farms (S&amp;WFs) across the transmission network. Additionally, to offset the intermittency of composite S&amp;WFs, large-scale compressed-air and subsurface hydrogen energy storage systems (C&amp;HESSs) are integrated in coordination with these renewable farms. On this basis, two incommensurable objective functions, namely the net present values of the total investment and operation costs, as well as the congestion-caused NAF insufficiency measure, are considered, which are to be minimized simultaneously subject to a set of technical, operational, discrete logical, and financial constraints. The resulting non-convex mixed-integer nonlinear optimization problem is solved using a two-stage posterior implementation procedure, comprising a multi-objective symphony orchestra search algorithm to obtain the Pareto-front solutions, and a combination of fuzzy entropy weight and affiliation degree techniques to find the most preferred solution. The newly developed model is tested on the Iranian 400-kV transmission network, and its effectiveness and practicality are confirmed through comprehensive simulation studies.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"172 ","pages":"Article 111148"},"PeriodicalIF":5.0000,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Hybrid HVAC/DC transmission capacity expansion planning considering large-scale renewable-based energy storage systems to mitigate network-associated flexibility insufficiency\",\"authors\":\"Mojtaba Shivaie\",\"doi\":\"10.1016/j.ijepes.2025.111148\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper presents a new multi-period hybrid high-voltage alternating/direct current (HVAC/DC) model for transmission capacity expansion planning to address network-associated flexibility (NAF) insufficiency. For this purpose, the proposed model, from a new viewpoint, allows the reinforcement and/or installation of HVAC and multiterminal voltage source converter-based HVDC transmission lines, as well as the deployment of composite solar and wind farms (S&amp;WFs) across the transmission network. Additionally, to offset the intermittency of composite S&amp;WFs, large-scale compressed-air and subsurface hydrogen energy storage systems (C&amp;HESSs) are integrated in coordination with these renewable farms. On this basis, two incommensurable objective functions, namely the net present values of the total investment and operation costs, as well as the congestion-caused NAF insufficiency measure, are considered, which are to be minimized simultaneously subject to a set of technical, operational, discrete logical, and financial constraints. The resulting non-convex mixed-integer nonlinear optimization problem is solved using a two-stage posterior implementation procedure, comprising a multi-objective symphony orchestra search algorithm to obtain the Pareto-front solutions, and a combination of fuzzy entropy weight and affiliation degree techniques to find the most preferred solution. The newly developed model is tested on the Iranian 400-kV transmission network, and its effectiveness and practicality are confirmed through comprehensive simulation studies.</div></div>\",\"PeriodicalId\":50326,\"journal\":{\"name\":\"International Journal of Electrical Power & Energy Systems\",\"volume\":\"172 \",\"pages\":\"Article 111148\"},\"PeriodicalIF\":5.0000,\"publicationDate\":\"2025-09-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Electrical Power & Energy Systems\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0142061525006969\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Electrical Power & Energy Systems","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0142061525006969","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

摘要

针对电网相关灵活性不足的问题,提出了一种新的多周期高压交直流(HVAC/DC)混合输电扩容规划模型。为此,从新的角度来看,提出的模型允许加强和/或安装HVAC和基于多终端电压源转换器的HVDC输电线路,以及在输电网络中部署复合太阳能和风力发电场(S& wf)。此外,为了抵消复合燃料的间歇性,大型压缩空气和地下氢能源储存系统(C& hess)与这些可再生能源农场协调集成。在此基础上,考虑了两个不可通约的目标函数,即总投资和运营成本的净现值,以及拥堵导致的NAF不足度量,在一系列技术、运营、离散逻辑和财务约束下,将其同时最小化。采用两阶段后验实现方法求解非凸混合整数非线性优化问题,其中包括多目标交响乐团搜索算法获取Pareto-front解,以及模糊熵权和关联度相结合的方法寻找最优解。在伊朗400-kV输电网上进行了试验,通过全面的仿真研究,验证了该模型的有效性和实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hybrid HVAC/DC transmission capacity expansion planning considering large-scale renewable-based energy storage systems to mitigate network-associated flexibility insufficiency
This paper presents a new multi-period hybrid high-voltage alternating/direct current (HVAC/DC) model for transmission capacity expansion planning to address network-associated flexibility (NAF) insufficiency. For this purpose, the proposed model, from a new viewpoint, allows the reinforcement and/or installation of HVAC and multiterminal voltage source converter-based HVDC transmission lines, as well as the deployment of composite solar and wind farms (S&WFs) across the transmission network. Additionally, to offset the intermittency of composite S&WFs, large-scale compressed-air and subsurface hydrogen energy storage systems (C&HESSs) are integrated in coordination with these renewable farms. On this basis, two incommensurable objective functions, namely the net present values of the total investment and operation costs, as well as the congestion-caused NAF insufficiency measure, are considered, which are to be minimized simultaneously subject to a set of technical, operational, discrete logical, and financial constraints. The resulting non-convex mixed-integer nonlinear optimization problem is solved using a two-stage posterior implementation procedure, comprising a multi-objective symphony orchestra search algorithm to obtain the Pareto-front solutions, and a combination of fuzzy entropy weight and affiliation degree techniques to find the most preferred solution. The newly developed model is tested on the Iranian 400-kV transmission network, and its effectiveness and practicality are confirmed through comprehensive simulation studies.
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
International Journal of Electrical Power & Energy Systems
International Journal of Electrical Power & Energy Systems 工程技术-工程:电子与电气
CiteScore
12.10
自引率
17.30%
发文量
1022
审稿时长
51 days
期刊介绍: The journal covers theoretical developments in electrical power and energy systems and their applications. The coverage embraces: generation and network planning; reliability; long and short term operation; expert systems; neural networks; object oriented systems; system control centres; database and information systems; stock and parameter estimation; system security and adequacy; network theory, modelling and computation; small and large system dynamics; dynamic model identification; on-line control including load and switching control; protection; distribution systems; energy economics; impact of non-conventional systems; and man-machine interfaces. As well as original research papers, the journal publishes short contributions, book reviews and conference reports. All papers are peer-reviewed by at least two referees.
×
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