{"title":"Temperature-dependent state estimation based on constrained alternating optimization for three-phase power networks considering transformer parameters","authors":"Dumrongsak Wongta , Jonglak Pahasa , Chawasak Rakpenthai , Sermsak Uatrongjit","doi":"10.1016/j.ijepes.2024.110292","DOIUrl":null,"url":null,"abstract":"<div><div>This paper presents a three-phase power system state estimation method based on weighted least square criteria in which not only bus voltage phasors but also transformer parameters, i.e. its tap ratio and leakage admittance, as well as overhead transmission line conductor temperatures are considered as state variables. The method integrates the admittance matrix model of three-phase transformers and a weather dependent thermal model of the overhead transmission lines into the power system state estimation process, which is then formulated as a constrained nonlinear optimization problem. A solution technique based on constrained alternating optimization, suitable for the temperature-dependent state estimation considering the transformer’s parameters, is also proposed. The state estimation optimization is divided into two constrained sub-optimization problems, which are solved alternately until convergence conditions are satisfied. A predictor–corrector interior point based algorithm is applied for solving the sub-optimization problems. Several tests on modified IEEE 30-bus and 118-bus systems configured as three-phase test systems indicate that the proposed temperature-dependent state estimation significantly outperforms traditional methods.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":null,"pages":null},"PeriodicalIF":5.0000,"publicationDate":"2024-10-23","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/S0142061524005143","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 three-phase power system state estimation method based on weighted least square criteria in which not only bus voltage phasors but also transformer parameters, i.e. its tap ratio and leakage admittance, as well as overhead transmission line conductor temperatures are considered as state variables. The method integrates the admittance matrix model of three-phase transformers and a weather dependent thermal model of the overhead transmission lines into the power system state estimation process, which is then formulated as a constrained nonlinear optimization problem. A solution technique based on constrained alternating optimization, suitable for the temperature-dependent state estimation considering the transformer’s parameters, is also proposed. The state estimation optimization is divided into two constrained sub-optimization problems, which are solved alternately until convergence conditions are satisfied. A predictor–corrector interior point based algorithm is applied for solving the sub-optimization problems. Several tests on modified IEEE 30-bus and 118-bus systems configured as three-phase test systems indicate that the proposed temperature-dependent state estimation significantly outperforms traditional methods.
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.