Open AccessA Novel Hybrid Pattern Search-Modified De Optimized Tilt Integral Derivative Controller For AGC using Facts Devices
Author(s) -
Dillip Kumar Sahoo*,
Rabindra Kumar Sahu
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.c5085.098319
Subject(s) - controller (irrigation) , control theory (sociology) , automatic generation control , computer science , crossover , sensitivity (control systems) , transmission (telecommunications) , power (physics) , derivative (finance) , hybrid system , differential evolution , tilt (camera) , electronic engineering , algorithm , electric power system , mathematics , engineering , control (management) , telecommunications , artificial intelligence , physics , quantum mechanics , machine learning , financial economics , agronomy , economics , biology , geometry
The article presents, a novel hybrid Pattern Search (PS) and Modified Differential Evolution (MDE) computational method is employed for Automatic Generation Control (AGC) problem of deregulated multi source power system with Tilt-Integral-Derivative (TID) as a secondary controller. Primarily, different control strategies are initiated to tune the gains of TID controller. Then, DE algorithm is modified in terms of step size and crossover probability to improve the performance and effective scheme. In the next step, PS technique is employed to get the best tuned value offered by MDE. After that, Flexible Alternating Current Transmission System (FACTS) Devices are incorporated for further improvement in the results. At the end, sensitivity analysis is performed under varied conditions and the effectiveness of the proposed controller is examined for various random load changes