
Power system stabiliser PSS4B‐W parameters optimisation and RTDS test verification
Author(s) -
Guo Siyuan,
Zhang Shoushou,
Zhu Weijun,
Li Li,
Li Hui
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2018.8503
Subject(s) - control theory (sociology) , particle swarm optimization , real time digital simulator , genetic algorithm , electric power system , process (computing) , power (physics) , compensation (psychology) , stabiliser , computer science , engineering , mathematical optimization , mathematics , algorithm , materials science , physics , psychology , control (management) , quantum mechanics , artificial intelligence , psychoanalysis , operating system , nanotechnology
This study introduces the mathematical model of a new type of power system stabiliser PSS4B‐W. The concept of crossbreed in genetic algorithm is introduced to particle swarm optimisation algorithm and applied to PSS4B‐W parameter optimisation. With a PCS‐9410 excitation regulator, the semi‐physical simulation system is constituted on a real time digital simulator (RTDS) platform. By measuring the excitation system phase frequency characteristic without compensation, the PSS4B‐W parameter optimisation is converted to a set of parameters optimisation process with inequality constraint. In the RTDS platform, the time‐domain dynamic response of without PSS, adding PSS2B and PSS4B‐W, is compared and analysed. Simulation results show that the optimised PSS4B‐W can provide effective damping in different frequency bands, and have good inverse‐regulation suppression effect.