Open AccessQV interaction evaluation and pilot voltage‐reactive power coupling area partitioning in bulk power systems
Author(s) -
Jiang Tao,
Bai Linquan,
Yuan Haoyu,
Jia Hongjie,
Li Fangxing,
Cui Hantao
Publication year - 2017
Publication title -
iet science, measurement and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.418
H-Index - 49
eISSN - 1751-8830
pISSN - 1751-8822
DOI - 10.1049/iet-smt.2016.0232
Subject(s) - jacobian matrix and determinant , electric power system , voltage , coupling (piping) , power flow , ac power , partition (number theory) , power (physics) , control theory (sociology) , margin (machine learning) , matrix (chemical analysis) , computer science , engineering , electrical engineering , mathematics , materials science , physics , mechanical engineering , control (management) , quantum mechanics , combinatorics , artificial intelligence , machine learning , composite material
This study presents a novel methodology to evaluate the QV interactions among buses and to partition the pilot voltage‐reactive power coupling areas (VRPCAs) using relative gain (RG). According to the concept of a multi‐input multi‐output system, the QV coupling RG is first calculated based on the QV matrix, which is extracted from power flow Jacobian matrix, to evaluate the QV interactions among different buses and then to determine the VRPCAs. The voltage stability critical buses are first identified through a modified loading margin. For each critical bus, the other buses that have strong QV coupling are detected via the cross RG and are clustered into a VRPCA piloted by the corresponding critical bus. New England 39‐bus system and Polish power system are used to test the performance of the proposed approach. Simulation results verify the effectiveness of the proposed approach in evaluating the QV interactions and partitioning the VRPCAs.