Thermal rating assessment of overhead lines by Affine Arithmetic |
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| Affiliation: | 1. Department of Electrical Engineering, University of Salerno, via Ponte don Melillo 1, 184084 Fisciano (SA), Italy;2. Department of Engineering, University of Sannio, Piazza Roma n. 1, 182100 Benevento, Italy;1. Politecnico di Milano, Department of Energy, Via la Masa 34, 20156 Milano, Italy;2. Faculty of Electrical Engineering, The University of Danang-University of Science and Technology, Danang, Vietnam;3. TERNA S.p.a., Via dei della Robbia 41, 50132 Firenze, Italy;1. Faculty of Electrical & Computer Engineering, Semnan University, Semnan, Iran;2. Department of Electrical Engineering, Faculty of Engineering, University of Zanjan, Zanjan, Iran;1. Department of Engineering, University of Naples Parthenope, Naples 80143, Italy;2. Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples 80125, Italy;1. Department of Electrical Engineering, University of Concepción, Concepción, Chile;2. Department of Electrical Engineering, University of Talca, Curicó, Chile;3. Department of Electrical Engineering, Technical University of Federico Santa María, Concepción, Chile;1. Department of Mechanical & Biomedical Engineering, Boise State University, Boise, ID, 83725, United States;2. Department of Mechanical Engineering, University of Idaho, Moscow, ID, 83844, United States |
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| Abstract: | The increasing complexity of transmission networks can raise significantly the load flows during and following serious system disturbances. In this context accurate thermal rating assessment of overhead lines represents an essential requirement in order to obtain a sensible increase of the infrastructure exploitation assuring at the same time a reliable functioning of the power networks.This necessitates reliable calculation models which should be able to predict the thermal behaviour on short and long time horizons and in the presence of data uncertainties deriving from several sources such as non stationary load and fluctuating operating conditions.To address this problem, in the paper the use of Affine Arithmetic, an enhanced model for numerical computation, is proposed. Using AA, the thermal rating solution is computed taking into account the model parameter uncertainty interdependencies as well as the diversity of uncertainty sources.Simulation studies are presented and discussed in order to prove the effectiveness of the proposed methodology in addressing the problem of uncertainty analysis in both static and dynamic thermal rating assessment. |
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