Structured controller parameter tuning for power systems

Controller tuning in power systems using singular value optimization

“…Proof. The proof is analogous to the stability-certificate provided in (Mešanović et al, 2019) and is not shown in detail due to page limitations. It is based on the fact that, due to Assumption 1, s pij is a continuous function of K, and cannot discretely "jump over" γ(t).…”

“…However, an appropriate method to minimize Γ is needed. We propose to do so by applying a similar optimization procedure as presented in (Mešanović et al, 2019). Theorem 4.…”

“…Finally, we consider a model with 53 power plants and 35 buses, developed within the research project DynaGrid-Center (2020). The controllers used for this model are presented in (Mešanović et al, 2019). A more detailed description of the considered system cannot be presented due to space limitations.…”

“…It is based on frequency domain considerations, and thus avoids the direct formulation of (large-scale) Lyapunov matrices, making the approach generally scalable to larger systems. Previous works of the authors consider H-infinity controller synthesis, see (Mešanović et al, 2017;Mešanović et al, 2018;Mešanović et al, 2019).…”

Design, Control and Automation of MHPP - An Experimental Setup

“…Many studies have been conducted on AVRs, which control the output voltage of synchronous generators. These are control methods performed together with various algorithms such as traditional PID implementations [9][10][11][12], cuckoo search algorithm [13], particle swarm optimization [14], coyote optimization algorithm [15], whale optimization algorithm [16,17], nonlinear robust coordinated [18], PSS and H∞ optimization [19] and kidney-inspired algorithm [20]. In addition to traditional PI and PID applications for the control of load frequencies of synchronous generators and power systems, control methods used with different algorithms, artificial intelligence and optimization techniques are also seen.…”