Turkish Journal of Electrical Engineering and Computer Sciences
Optimization and coordination of SVC-based supplementary controllers and PSSs to improve power system stability using a genetic algorithm
In this piaper, a lead-lag structure is proposed as a main damping controller for a static VAR compensator (SVC) to diminish power system oscillations. To confirm the transient performance of the proposed controller, it was compared to a proportional integral derivative (PID) damping controller. Power system stability improvement was thoroughly examined using these supplementary damping controllers as well as a power system stabilizer i(PSS). The generic algorithm (GA) is well liked in the academic environment due to its immediate perceptiveness, ease of performance, and ability to impressively solve highly nonlinear objectives. Thus, the GA optimization technique was applied to solve an optimization problem and to achieve optimal parameters of the SVC-based supplementary damping controllers and PSS. The coordinated design problem of these devices was formulated as an optimization problem to reduce power system oscillations. The transient performance of the damping controllers and PSS were evaluated under a severe disturbance for a single-machine infinite bus (SMIB) and multimachine power system. The nonlinear simulation results of the SMIB power system suggest that power system stability was increasingly improved using the coordinated design of the SVC-based lead-lag controller and PSS, rather than the coordinated design of the SVC-based PID controller and PSS. Furthermore, the interarea and local modes of the oscillations were superiorly damped using the proposed controller in the multimachine power system.
SVC, PSS, power system stability, coordinated design, lead-lag damping controller, PID damping controller, GA optimization technique
FALEHI, ALI DARVISH; ROSTAMI, MEHRDAD; DOROUDI, AREF; and ASHRAFIAN, ABDOLAZIZ
"Optimization and coordination of SVC-based supplementary controllers and PSSs to improve power system stability using a genetic algorithm,"
Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 20:
5, Article 1.
Available at: https://journals.tubitak.gov.tr/elektrik/vol20/iss5/1
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