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Utilization of electric vehicles in combined voltage‐frequency control of multi‐area thermal‐ combined cycle gas turbine system using two degree of freedom tilt‐integral‐derivative controller
Author(s) -
Ramoji Satish Kumar,
Saikia Lalit Chandra
Publication year - 2021
Publication title -
energy storage
Language(s) - English
Resource type - Journals
ISSN - 2578-4862
DOI - 10.1002/est2.234
Subject(s) - control theory (sociology) , pid controller , controller (irrigation) , engineering , automatic frequency control , automatic generation control , frequency domain , voltage regulator , voltage , electric power system , control engineering , power (physics) , computer science , temperature control , electrical engineering , physics , computer vision , quantum mechanics , agronomy , control (management) , artificial intelligence , biology
This paper conveys the unified control pattern of frequency and voltage of interconnected multi‐area power system through the automatic load frequency control (ALFC) loop and automatic voltage regulator (AVR) loop. Each area includes a single‐stage reheat thermal plant, combined cycle gas turbine (CCGT) plant, and electric vehicles (EVs). Pertinent generation rate constraint for thermal and CCGT plant and governor dead band for the thermal plant is considered. A maiden attempt has been made to introduce the two degree of freedom tilt‐integral‐derivative (2DOFTID) controller for both the ALFC and AVR loops. In this study, a meta‐heuristic algorithm called Harris Hawks optimization (HHO) is implemented to optimize the controller parameters. Study divulges that performance of the 2DOFTID controller predominates when compared with TID and proportional‐integral‐derivative with filter (PIDF) controller apropos time‐domain indices. By juxtaposition, the superiority of the proposed algorithm and performance index is observed. Also, improved system dynamics were independently exhibited by the influence of the lumped EV model and AVR. For the predominance of the 2DOFTID controller, different patterns of disturbances such as random and sinusoidal varying load perturbation have been investigated. Eventually, the sensitivity studies were accomplished to determine the sturdiness of the proposed controller for substantial variations in the system parameters.