Solutions of UPFC-based load frequency control using quasi-oppositional biogeography based optimisation considering various nonlinearities of power system
by Dipayan Guha; Provas Kumar Roy; Subrata Banerjee
International Journal of Power and Energy Conversion (IJPEC), Vol. 9, No. 2, 2018

Abstract: In this article, quasi-oppositional biogeography-based optimisation (QOBBO) is employed for the optimum solution of load frequency control in the power system. Initially, two-area non-reheat thermal system equipped with classical PID-controller with all possible physical constraints is considered for investigation. Optimum values of controller parameters are derived using QOBBO through the minimisation of integral time absolute error-based objective function. Two more fitness functions based on integral square error and integral time square error are considered for better comparison of proposed algorithm. Comparisons are also made with existing methods to the show superiority of proposed algorithm. Additionally, frequency stabiliser in the form of unified power flow controller is proposed in the system for the betterment of the existing results. Finally, two more realistic test systems namely two-area multi-unit hydro-thermal network and two-area six-unit power system having thermal, hydro, wind and diesel power plant are considered for judging potentiality of proposed method. The sensitivity of the designed controller is investigated over a wide variation of system parameters and under different loading conditions.

Online publication date: Tue, 27-Mar-2018

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