Open AccessDynamic stability improvement with integrated power plant scheduling method based on moment of inertia
Author(s) -
Fitriani,
Indar Chaerah Gunadin,
Ansar Suyuti,
Agus Siswanto
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/926/1/012030
Subject(s) - electric power system , control theory (sociology) , matlab , computer science , toolbox , stability (learning theory) , generator (circuit theory) , fault (geology) , power (physics) , control engineering , engineering , control (management) , physics , quantum mechanics , artificial intelligence , machine learning , seismology , programming language , geology , operating system
Dynamic stability is one of the important aspects of maintaining the stability of an electrical power system as a whole. Dynamic stability study is the ability of the electric power system to return to the equilibrium point after a relatively small disturbance suddenly occurs for a long time. In this paper, we offer a method of rescheduling the generator to improve system stability by looking at the critical clearing time (CCT). Changes in the CCT value are due to changes in the load on each bus. The modelling of the IEEE 14 bus system is carried out with the help of the Simulink Power System Analysis Toolbox (PSAT) 2.1.10, which is integrated with the MATLAB R. 2016a program. The simulation results show that the CCT value decreases as the fault location gets closer to the main generator.