A neural power system stabilizer of DFIGs for power system stability support

• Published in: International transactions on electrical energy systems Vol. 28; no. 6; pp. e2547 - n/a
• Main Authors: Li, Xiao‐Ming, Fu, Jun‐Feng, Zhang, Xiu‐Yu, Cao, Hong, Lin, Zhong‐Wei, Niu, Yu‐Guang
• Format: Journal Article
• Language: English
• Published: Hoboken Hindawi Limited 01.06.2018
• Subjects: Approximation; Computer simulation; Control stability; Control systems; Damping; Design engineering; double fed induction generator; Eigenvalues; Electric potential; H-infinity control; Induction generators; internal voltage vector; low‐voltage ride‐through; Mathematical analysis; mixed H2/H∞ control; Optimization; Pole placement; Stability augmentation; Systems stability
• ISSN: 2050-7038; 2050-7038
• DOI: 10.1002/etep.2547

Summary This paper proposes a neural observer–based power system stabilizer (PSS) of doubly fed induction generators (DFIGs) to improve system damping and low‐voltage ride‐through capability. To coordinate the PSS and existing rotor‐side controller, an augment system including DFIG and rotor‐side controller is modeled by using the approximation error considered neural observer. An H∞ controller is proposed to ensure the augment system stability and override the effect of approximation error, and also, an H2 optimization is proposed to achieve specified engineering purposes. The PSS design is formulated as a mixed H2/H∞ problem, where regional pole placement is introduced to further improve DFIG dynamic performance. In comparison with the existing PSS, the proposed PSS not only improves system damping but also considerably enhances low‐voltage ride‐through capability via limiting the jump of DFIG power angle. Results of dominant eigenvalue analysis and simulation are presented and discussed, which show the contributions of the proposed PSS to power system stability support.