TY - JOUR
T1 - An optimal frequency control method through a dynamic Load Frequency Control (LFC) model incorporating wind farm
AU - Gholamrezaie, Vahid
AU - Dozein, Mehdi Ghazavi
AU - Monsef, Hassan
AU - Wu, Bin
N1 - Funding Information:
This work was supported by the Research Center of Power System Operation and Planning Studies, School of ECE, College of Engineering, University of Tehran, Tehran, Iran.
Publisher Copyright:
© 2016 IEEE.
PY - 2018/3
Y1 - 2018/3
N2 - In a high penetrated wind farm power system, wind farms can collaborate to control the power system frequency as like as conventional units. This paper presents a novel model to control the frequency of the wind farm connected to conventional units. Throughout the proposed frequency control, the integral controller, washout filter, and the PID controller could determine the active power variation value in different situations. In fact, a PID controller makes the wind farm aware of power variations. To improve the efficiency of the model, the defined frequency control parameters (i.e., PID coefficients) are optimized based on a multiobjective function using particle swarm optimization algorithm. This study has a unique perspective based on the wind farm collaboration through inertia control, primary frequency control, and supplementary frequency control of the system. A swift power reserve in a stable condition is needed in which wind farm can ameliorate the system frequency response. It is worth saying that the wind farm consists of variable speed turbines, such as a doubly fed induction generator, or a permanent magnet synchronous generator. To assess the performance of the proposed model, it is applied to a typical two-area system and the results are compared.
AB - In a high penetrated wind farm power system, wind farms can collaborate to control the power system frequency as like as conventional units. This paper presents a novel model to control the frequency of the wind farm connected to conventional units. Throughout the proposed frequency control, the integral controller, washout filter, and the PID controller could determine the active power variation value in different situations. In fact, a PID controller makes the wind farm aware of power variations. To improve the efficiency of the model, the defined frequency control parameters (i.e., PID coefficients) are optimized based on a multiobjective function using particle swarm optimization algorithm. This study has a unique perspective based on the wind farm collaboration through inertia control, primary frequency control, and supplementary frequency control of the system. A swift power reserve in a stable condition is needed in which wind farm can ameliorate the system frequency response. It is worth saying that the wind farm consists of variable speed turbines, such as a doubly fed induction generator, or a permanent magnet synchronous generator. To assess the performance of the proposed model, it is applied to a typical two-area system and the results are compared.
KW - Additional damping (D)
KW - additional inertia (M)
KW - doubly fed induction generator (DFIG)
KW - frequency control
KW - load frequency Control (LFC)
KW - permanent magnet synchronous generators (PMSG)
UR - http://www.scopus.com/inward/record.url?scp=85016102018&partnerID=8YFLogxK
U2 - 10.1109/JSYST.2016.2563979
DO - 10.1109/JSYST.2016.2563979
M3 - Article
AN - SCOPUS:85016102018
SN - 1932-8184
VL - 12
SP - 392
EP - 401
JO - IEEE Systems Journal
JF - IEEE Systems Journal
IS - 1
ER -