Title :
Adaptive frequency regulation strategy based integral sliding mode control for smart grid with renewable energy sources
Author :
Chao Xu Mu;Jian Xun Jin;Wei Xu
Author_Institution :
School of Electrical and Automation Engineering, Tianjin University, Tianjin 300072, China
Abstract :
With the blooming deployment of renewable resources, more and more renewable energy are used in the power system, especially in the island smart grid. As the power generation is variable, the smart grid integrated renewable energy, such as photovoltaic (PV) or wind enσergy, may cause large system frequency fluctuations. In this paper, it studies the adaptive on-line frequency control in the island smart grid for multiple renewable energy, mainly concerning PV array and wind energy. The integral sliding mode controller is involved to be as a primary frequency regulator to suppress the frequency fluctuations and maintain the stability of the island smart grid, and the adaptive dynamic programming method is used as an on-line regulator to improve the adaptive capacity of the sliding mode regulator, which would provide an supplementary control added to the primary sliding mode control. Comparative simulation studies on a benchmark smart grid with a turbine, PV array and wind power are carried out among the proposed adaptive regulation scheme, the SM regulator and the PI regulator. The simulation results have fully demonstrated the competitive performance and the adaptive ability of the intelligent frequency regulation.
Keywords :
"Smart grids","Renewable energy sources","Frequency control","Regulators","Power system stability","Fluctuations","Benchmark testing"
Conference_Titel :
Applied Superconductivity and Electromagnetic Devices (ASEMD), 2015 IEEE International Conference on
Print_ISBN :
978-1-4673-8106-2
DOI :
10.1109/ASEMD.2015.7453627