Co-optimization of Transmission Switching and Variable Reactance Devices Control under Worst-Case Wind Uncertainty

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2019

Autores

Ahmad Nikoobakht (Autor) Outra; Jamshid Aghaei (Autor) Outra; Mohamed Lotfi (Autor) Outra; Gerardo J. Osório (Autor) Outra; Miadreza Shafie-khah (Autor) Outra; João P. S. Catalão (Autor) FEUP

Ata de Conferência Internacional

Título: CCTA 2019 - 3rd IEEE Conference on Control Technology and Applications

Páginas: 92-97

3rd IEEE Conference on Control Technology and Applications, CCTA 2019

19 August 2019 through 21 August 2019

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-00R-MMH

DOI: 10.1109/ccta.2019.8920607

Abstract (EN): The work reported in this paper jointly addresses two major challenges in modern power systems: 1) systematically maximizing wind power generation (WPG) utilization under worst-case uncertainty and 2) employing mixed integer-nonlinear programming (MINLP) in the co-optimization of variable reactance devices (VRD) and transmission switching (TS) in an AC optimal power flow problem (ACOPF). The first challenge is solved by proposing an interval based robust approach to identify the worst-case WPG uncertainty. Similarly, to overcome the second challenge, a tri-level decomposition algorithm is used to decompose the MINLP representation into one consisting of one mixed-integer linear programming (MILP) and two nonlinear programming (NLPs) problems. Finally, the effectiveness and efficiency of the proposed model is shown by analysing results from testing on the modified RTS-96 system.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6