Open AccessCandidate bus selection for dynamic VAR planning towards voltage stability enhancement considering copula‐based correlation of wind and load uncertainties
Author(s) -
Chi Yuan,
Xu Yan,
Zhang Rui
Publication year - 2021
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/gtd2.12058
Subject(s) - sensitivity (control systems) , copula (linguistics) , selection (genetic algorithm) , voltage , reliability engineering , computer science , correlation coefficient , engineering , control theory (sociology) , mathematics , artificial intelligence , electronic engineering , machine learning , econometrics , electrical engineering , control (management)
As a critical step of VAR planning, candidate bus selection can significantly reduce the scale of the planning problem without impairing the optimality of the planning decisions. A novel candidate bus selection method is proposed considering not only the capacity sensitivity of candidate buses, but also the correlation among uncertainties of wind power generation and load demands. First, two metrics are proposed for different sensitivity analysis purposes to evaluate voltage performance in the post‐contingency stage comprehensively, considering the extent of the voltage deviation and voltage recovery time simultaneously. Then, D‐vine copulas are constructed systematically and employed to generated correlated operational scenarios for the dependent variable sensitivity analysis based on Kucherenko indices. Morris screening method is used for the independent capacity sensitivity analysis of the candidate buses. Finally, a 2‐dimensional candidate bus selection process is proposed for the decision‐makers to determine the candidate buses flexibly. The proposed method is tested on a modified Nordic 74‐bus system with an industry‐standard complex load model. Simulation results verify the effectiveness and accuracy of the proposed method.