Open AccessModel‐based tuning approach for multi‐band power system stabilisers PSS4B using an improved modal performance index
Author(s) -
Rimorov Dmitry,
Kamwa Innocent,
Joós Géza
Publication year - 2015
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/iet-gtd.2014.1176
Subject(s) - benchmark (surveying) , robustness (evolution) , electric power system , modal , control theory (sociology) , computer science , transient (computer programming) , controller (irrigation) , stability (learning theory) , scalability , control engineering , power (physics) , engineering , control (management) , biochemistry , chemistry , geodesy , database , artificial intelligence , machine learning , biology , agronomy , gene , geography , operating system , physics , quantum mechanics , polymer chemistry
Multi‐band power system stabilisers (MB‐PSSs) PSS4B (IEEE standard 421.5‐2005) are advanced power system damping controllers that have evident advantages over conventional PSSs in damping low‐frequency oscillatory modes. However, finding optimal settings for such controllers is challenging due to the increased complexity of the PSS4B structure. This study describes a methodology for MB‐PSS parameter optimisation based on an improved modal performance index as a measure of the controller's stabilising effect. The tuning problem is formulated as a non‐linear constrained optimisation search method: proposed modal performance index is chosen as an objective function to be minimised, while properly selected constraints ensure stability of the closed‐loop system and robustness of the proposed design. The methodology is demonstrated on a benchmark system that is based on an existing network. Comparative analysis between the MB‐PSSs with optimised settings and speed‐based PSS1A‐type stabilisers designed using the conventional methods show the practicality and effectiveness of the proposed methodology. The implemented approach has an advantage of being scalable and suitable for the model‐based tuning of feedback controller of general structure. Additionally, several performance metrics and non‐linear simulations in the ElectroMagnetic Transient Program (EMTP) software confirm superior characteristics of PSS4B.