Title :
Comparative performance analysis of fruit fly optimisation algorithm for multi-area multi-source automatic generation control under deregulated environment
Author :
Mohanty, Banaja ; Hota, Prakash Kumar
Author_Institution :
Dept. of Electr. Eng., Veer Surendra Sai Univ. of Technol., Burla, India
Abstract :
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.
Keywords :
PI control; electricity supply industry deregulation; hydrothermal power systems; nuclear power stations; optimisation; power generation control; power system interconnection; sensitivity analysis; thermal power stations; three-term control; AC-DC link; IDD controller; PIDD controller; comparative performance analysis; deregulated environment; fruit fly optimisation algorithm; generation rate constraint; hydro generating unit; integral controller; integral-double derivative controller; multiarea multisource automatic generation control; multiarea multisource interconnected power system; nuclear generating unit; proportional-integral controller; proportional-integral-derivative controller; proportional-integral-double derivative controller; reheat thermal generating unit; sensitivity analysis; swarm optimisation algorithm; system parameter variation;
Journal_Title :
Generation, Transmission Distribution, IET
DOI :
10.1049/iet-gtd.2015.0284