Optimal power flow of power system with FACTS devices

What is it about?

In this paper, symbiotic organisms search (SOS) algorithm is proposed for the solution of optimal power flow (OPF) problem of power system equipped with flexible ac transmission systems (FACTS) devices. Inspired by an interaction between organisms in the ecosystem, SOS algorithm is a recent population based algorithm which does not require any algorithm specific control parameters unlike other algorithms. The performance of the proposed SOS algorithm is tested on the modified IEEE-30 bus and IEEE-57 bus test systems incorporating two types of FACTS devices, namely, thyristor controlled series capacitor and thyristor controlled phase shifter at fixed locations. The OPF problem of the present work is formulated with four different objective functions viz. (a) fuel cost minimization, (b) transmission active power loss minimization, (c) emission reduction and (d) minimization of combined economic and environmental cost. The simulation results exhibit the potential of the proposed SOS algorithm and demonstrate its effectiveness for solving the OPF problem of the power system incorporating FACTS devices over the other evolutionary optimization techniques surfaced in the recent state-of-the-art literature.

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Why is it important?

In this work, a recently developed meta-heuristic algorithm like SOS is proposed to solve the OPF problem of power system equipped with FACTS devices. The problem of present work is formulated as a nonlinear optimization problem with equality and inequality constraints of the power network. In this study, fuel cost minimization with different cost curves, transmission loss minimization, emission minimisation and combined economic and emission cost minimization objectives are considered individually. The feasibility of the proposed SOS method for solving OPF problems is demonstrated by using modified IEEE-30 and IEEE-57 bus systems with TCSC and TCPS installed at fixed locations. Results obtained are compared to those other well-established techniques reported in the literature recently.

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