Multi-Objective Function GA for Modal Optimal Control Design in PSS and UPFC Power Oscillation Damping Coordination

This paper presents the design and simulation of controllers in power system equipped with UPFC. Each controller produce different supplementary signals, the power system stabilizer PSS signal for machine and the power oscillation damping POD signal for UPFC. A two stage lead lag compensator scheme was considered in the PSS structure. A new controller design, linear optimal control LOC associated with modal control scheme MO, is proposed in both PSS and POD design. The multi-objective GA method was used to determine the parameter controllers for both PSS and POD. The controller performances were investigated by using small disturbance to power system. The simulation results show that the presence of UPFC non POD leads to get less stability system. Appropriate PSS parameters have been determined and could enhance dynamic responses performance. Using Bryson method for weighting matrix Q, proposed LOC POD could improve system stability. The simulation results also show that system with PSS and MO POD has the best oscillation damping. The dominant eigenvalues shift and approach their real part threshold. POD controllers could give a better rotor angle response, up to 81.33% and 93.9% reduction in overshoot and settling time respectively. Both PSS and UPFC POD controller simultaneously present a positive interaction

PERANCANGAN KOORDINASI KENDALI PSS-POWER OSCILLATION DAMPING - LQR MENGGUNAKAN PSO PADA SMIC TERPASANG UPFC

This thesis presents the design and simulation of controllers in power system equipped with UPFC. Each controller produce different supplementary signals, the power system stabilizer PSS signal for machine and the power oscillation damping POD signal for UPFC. A two stage lead lag compensator scheme was considered in the PSS structure. A new controller design, linear optimal control LQR associated with modal control scheme MO, is proposed in both PSS and POD design. The multi- objective method was used to determine PSO the parameter controllers for POD and PSS. The controller performances were investigated by using small disturbance to power system. The simulation results show that the presence of UPFC non POD leads to get less stability system. Appropriate PSS and POD parameters have been determined and could enhance dynamic responses performance. Best condition achieved by proposed method (combination of MO POD PSO and PSS) The dominant eigenvalues shift and approach their real part threshold. POD MO PSO controllers could give a better rotor angle response, up to and 95 % reduction in 33 % overshoot and settling time respectively compared with PSS only Both PSS and UPFC POD controller simultaneously present a positive interaction