Open AccessA new scaled fuzzy method using PSO segmentation (SePSO) applied for two area power system
Author(s) -
Balasim М. Hussein
Publication year - 2019
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v9i2.pp815-825
Subject(s) - computer science , fuzzy logic , particle swarm optimization , control theory (sociology) , electric power system , controller (irrigation) , stability (learning theory) , matlab , power (physics) , segmentation , power balance , resilience (materials science) , fuzzy control system , control (management) , artificial intelligence , algorithm , machine learning , physics , thermodynamics , quantum mechanics , agronomy , biology , operating system
The balance of the power supply and demand (frequency control) is one of the most ancient approaches for the power systems, which is considered as a highly complex system.The power systems frequency response is a perfect indicator of the resilience to the multi-disturbances. In this work, the fuzzy logichas been scaledusing PSO segmentation (SePSO) and suggested to get high performance of frequency stability. PSO has participated into multi-segments for calculating the scald-fuzzy membership with basic rules. Two identical interconnectedpower areas wereselected to exam the new scaled fuzzy method. The time response of the results has undertaken the effectiveness of the controller reactionusing the MATLAB Simulink. The work feed back proved that the proposed SePSO optimization for the controlhas significantly faster with low undershot concerningthe classical controllers in differenttime schedules and disturbance values.