Open AccessOptimal PID controller of large‐scale PV farms for power systems LFO damping
Author(s) -
Saadatmand Mahdi,
Mozafari Babak,
Gharehpetian Gevork B.,
Soleymani Soodabeh
Publication year - 2020
Publication title -
international transactions on electrical energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 42
ISSN - 2050-7038
DOI - 10.1002/2050-7038.12372
Subject(s) - pid controller , control theory (sociology) , particle swarm optimization , controller (irrigation) , damper , electric power system , damping torque , engineering , low frequency oscillation , power (physics) , control engineering , computer science , mathematics , voltage , physics , mathematical optimization , electrical engineering , control (management) , temperature control , agronomy , quantum mechanics , artificial intelligence , biology , direct torque control , induction motor
Summary The penetration of large‐scale photovoltaic farms (LPFs) is ever increasing. Given that LPFs are added to power systems or replaced by conventional power plants, they should undertake the most common tasks of synchronous generators. One of these tasks is the low‐frequency oscillation (LFO) damping using power system stabilizer. This paper proposes a general method for LFO damping using LPFs by designing an optimal proportional‐integral‐derivative (PID) controller as a power oscillation damper in the nonlinear control loop of LPF. Considering the need for a valid LPF model, therefore the second generation generic model, developed and approved by western electricity coordinating council, is used. The PID controller is optimally tuned using the particle swarm optimization algorithm in order to produce an effective LFO damping. Finally, the performance of this controller is investigated in the modified two‐area test system, showing the proper performance of the LPF for LFO damping using the proposed optimal PID controller in the various operating condition and different short circuit ratio values.