{"title":"A load margin calculation method considering optimized reactive power support","authors":"Yuejian Wu, Xiaoming Dong, Tianguang Lu, Shunxiang Yu, Chengfu Wang, Zhengshuo Li","doi":"10.1016/j.ijepes.2025.110706","DOIUrl":null,"url":null,"abstract":"<div><div>With the development of modern low-carbon power systems, emerging ubiquitous reactive power supply gets more attention in improving power transmission capability. However, reactive power optimization for traditional and emerging forms of reactive power sources is ignored in conventional methods to calculate load margin (LM), which could cause conservative results or even decision-making misplay. Accordingly, this study proposes an improved LM calculation model incorporating optimal reactive power flow (ORPF) and continuation power flow (CPF) models, abbreviated as ORCPF. An approximate linear mixed-integer ORPF is established and integrated into Newton iterations and predictor–corrector steps. The ORPF model involves the Jacobian Matrix as the linearization of power balance relations and generates an approximate optimal solution in which the errors are corrected by following Newton iterations. A constraint interval adjustment scheme is presented to guarantee the errors under control. Meanwhile, the proposed step size control and rollback framework ensure robust iteration and accurate calculation for CPF. Employment of the LU decomposition method allows the CPF predictor coupling with the sensitivity calculation of voltage to reactive power changes (VQ Sensitivity), decreasing the computational burden in identifying the limit-induced bifurcation (LIB). The included case studies based on four test systems demonstrate the effectiveness of the proposed approaches.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"168 ","pages":"Article 110706"},"PeriodicalIF":5.0000,"publicationDate":"2025-05-03","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/S0142061525002571","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
With the development of modern low-carbon power systems, emerging ubiquitous reactive power supply gets more attention in improving power transmission capability. However, reactive power optimization for traditional and emerging forms of reactive power sources is ignored in conventional methods to calculate load margin (LM), which could cause conservative results or even decision-making misplay. Accordingly, this study proposes an improved LM calculation model incorporating optimal reactive power flow (ORPF) and continuation power flow (CPF) models, abbreviated as ORCPF. An approximate linear mixed-integer ORPF is established and integrated into Newton iterations and predictor–corrector steps. The ORPF model involves the Jacobian Matrix as the linearization of power balance relations and generates an approximate optimal solution in which the errors are corrected by following Newton iterations. A constraint interval adjustment scheme is presented to guarantee the errors under control. Meanwhile, the proposed step size control and rollback framework ensure robust iteration and accurate calculation for CPF. Employment of the LU decomposition method allows the CPF predictor coupling with the sensitivity calculation of voltage to reactive power changes (VQ Sensitivity), decreasing the computational burden in identifying the limit-induced bifurcation (LIB). The included case studies based on four test systems demonstrate the effectiveness of the proposed approaches.
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.