Journal
IET GENERATION TRANSMISSION & DISTRIBUTION
Volume 9, Issue 14, Pages 1845-1855Publisher
INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-gtd.2015.0284
Keywords
power system interconnection; hydrothermal power systems; nuclear power stations; power generation control; electricity supply industry deregulation; optimisation; three-term control; PI control; sensitivity analysis; thermal power stations; comparative performance analysis; fruit fly optimisation algorithm; multiarea multisource automatic generation control; deregulated environment; swarm optimisation algorithm; multiarea multisource interconnected power system; reheat thermal generating unit; hydro generating unit; nuclear generating unit; generation rate constraint; AC-DC link; proportional-integral controller; integral controller; proportional-integral-derivative controller; integral-double derivative controller; proportional-integral-double derivative controller; PIDD controller; IDD controller; sensitivity analysis; system parameter variation
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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.
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