{"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&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.</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}
引用次数: 0
Abstract
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.
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.