Turkish Journal of Electrical Engineering and Computer Sciences
Optimal fractional-order PID controller of inverter-based power plants for power systems LFO damping
DOI
10.3906/elk-1907-31
Abstract
The penetration of inverter-based power plants (IBPPs), such as large-scale photovoltaic (PV) power plants (LPPPs), is ever increasing considering the merits of renewable energy power plants (REPPs). Given that IBPPs are added to power systems or replaced by conventional power plants, they should undertake the most common tasks of synchronous generators. The low-frequency oscillation (LFO) damping through the power system stabilizers (PSSs) of synchronous generators is regarded as one of the common tasks in power plants. This paper proposes an optimal fractional-order proportional-integral-derivative (FOPID) controller implemented in the control loop of IBPPs for LFO damping in power systems. For this purpose, the last version of the generic dynamic model for renewable technologies (GDMRT) is used, which was released by the Western Electricity Coordinating Council (WECC) and Electric Power Research Institute (EPRI). In addition, an LPPP is studied as a case study. The FOPID controller is optimally tuned using the particle swarm optimization (PSO) algorithm in order to produce effective LFO damping. Finally, the performance of this controller is simulated and investigated in a two-area test system, showing the better performance of the LPPP for LFO damping by using the proposed optimal FOPID controller compared to the optimal lead-lag controller and optimal PID controller.
Keywords
Inverter-based power plant, large-scale PV power plant, low-frequency oscillation, fractional-order, proportional-integral-derivative, power oscillation damper
First Page
485
Last Page
499
Recommended Citation
SAADATMAND, MAHDI; MOZAFARI, BABAK; GHAREHPETIAN, GEVORK BABAMALEK; and SOLEYMANI, SOODABEH
(2020)
"Optimal fractional-order PID controller of inverter-based power plants for power systems LFO damping,"
Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 28:
No.
1, Article 36.
https://doi.org/10.3906/elk-1907-31
Available at:
https://journals.tubitak.gov.tr/elektrik/vol28/iss1/36
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