Title :
Optimal fuzzy logic based coordination controller for improved transient stability of a smart grid
Author :
Venayagamoorthy, Ganesh K. ; Chakravarty, Priyam
Author_Institution :
Real-Time Power & Intell. Syst. Lab., Clemson Univ., Clemson, SC, USA
Abstract :
While smart grid disturbances are inevitable, their effects can be minimized through intelligent power management and control. SmartParks (large numbers of electric vehicles capable of performing bidirectional power transactions) or energy storage systems can be used to improve the transient stability of a smart grid with wind farms when faults are experienced. In this paper, the speed oscillations in conventional generators are minimized by optimizing a fuzzy logic controller performing coordinated control between SmartParks and a wind farm. A novel heuristic search based algorithm, mean variance optimization, is applied for the optimization tasks. The results demonstrate the improvement in the overall transient stability of the system operating under disturbances at different locations in the system.
Keywords :
fuzzy control; intelligent control; optimisation; oscillations; power system control; power system stability; search problems; smart power grids; wind power plants; SmartParks; conventional generators; energy storage systems; heuristic search based algorithm; improved transient stability; intelligent power control; intelligent power management; mean variance optimization; optimal fuzzy logic based coordination controller; smart grid disturbances; speed oscillations; wind farm; Fuzzy logic; Generators; Niobium; Optimization; Wind farms; Wind power generation; Wind speed;
Conference_Titel :
Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-2073-0
DOI :
10.1109/FUZZ-IEEE.2014.6891824