Open AccessEvaluation of Power System ASR Indices for IDN-FOPD Controller based Automatic Generation Control of a Two-Area Thermal Restructured Power System
Author(s) -
B. Baskar*,
B. Paramasivam
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d5246.118419
Subject(s) - controller (irrigation) , control theory (sociology) , automatic generation control , power (physics) , pid controller , derivative (finance) , computer science , electric power system , engineering , control engineering , control (management) , temperature control , physics , artificial intelligence , quantum mechanics , financial economics , agronomy , economics , biology
This paper presents the evaluation measures for achieving the power system Ancillary Services Requirement (ASR) indices subject to the AGC assessment of a 2 area thermal restructured system. A novel Iintegral Derivative along with Fractional Order Proportional Derivative (IDN-FOPD) controller is proposed to design AGC loop. The parameters of IDN-FOPD are tuned utilizing the Big Bang Big Crunch algorithm. An extensive comparative analysis been carried out with Proportional-Integral (PI) and Fractional Order Proportional-Integral-Derivative (FOPID) controller. Power system ASR indices are computed based on the dynamic response of the control input deviations and mechanical power generation deviations. Results arrived depicts that BBBC tuned IDN-FOPD controller improves the output retort of the test system.