Open AccessComparative performance analysis of fruit fly optimisation algorithm for multi‐area multi‐source automatic generation control under deregulated environment
Author(s) -
Mohanty Banaja,
Hota Prakash Kumar
Publication year - 2015
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2015.0284
Subject(s) - control theory (sociology) , sensitivity (control systems) , controller (irrigation) , reset (finance) , computer science , derivative (finance) , automatic generation control , power (physics) , constraint (computer aided design) , electric power system , algorithm , mathematical optimization , mathematics , control (management) , engineering , electronic engineering , agronomy , physics , geometry , quantum mechanics , artificial intelligence , financial economics , economics , biology
A new swarm optimisation algorithm, that is, fruit fly optimisation algorithm is proposed to tuned several classical controllers for multi‐area multi‐source interconnected power system under deregulated environment. In deregulated environment, for multi‐source combination of reheat thermal, hydro and nuclear generating units in each control area with appropriate generation rate constraint and AC/DC link. The performance of several controller such as integral (I), proportional‐integral, proportional‐integral‐derivative, integral‐double derivative (IDD) and proportional‐integral‐double derivative (PIDD) are compared under different power system scenario and it is found that PIDD controller performs better than other controllers. Then sensitivity analysis is performed with system parameter variation from their nominal values. Sensitivity analysis reveals that optimum gains of PIDD controller need not be reset for wide variation in system parameters.