Title :
A novel load frequency control strategy based on model predictive control
Author :
Xinli Shi;Jianqiang Hu;Jie Yu;Taiyou Yong;Jinde Cao
Author_Institution :
School of Automation, Southeast University, Nanjing, 210096, China
fDate :
7/1/2015 12:00:00 AM
Abstract :
A reliable and economic/environmental smart grid (SG) has been a major focus area for modern power system design, which is threatened by the renewable resource penetration and load fluctuation. This paper presents a reliable and economic load frequency control (LFC) strategy based on model predictive control (MPC) to allocate active power set points for different generators by considering units´ economic costs and very short-term load forecasting (VSTLF). The MPC-based LFC strategy can balance the economic costs among generation units and take optional control actions in advance by considering time-varying load disturbance over a future time horizon. A comparison with the traditional LFC and the MPC strategy without considering load prediction and economic costs is made in a MATLAB/Simulink scenario for various load disturbances. The simulation results show the effectiveness of the proposed strategy in stabilizing system frequency and reducing response time.
Keywords :
"Generators","Economics","Frequency control","Load modeling","Power system stability","Optimization"
Conference_Titel :
Power & Energy Society General Meeting, 2015 IEEE
DOI :
10.1109/PESGM.2015.7286326