Title :
Multi-layer fuzzy controller for control of power networks
Author :
Rubaai, Ahmed ; Ofoli, Abdul
Author_Institution :
Electr. & Comput. Eng. Dept., Howard Univ., Washington, DC, USA
Abstract :
In this paper, a multi-layer fuzzy logic controller (MLFC) is proposed for the transient stability enhancement of the electric power system making use of a dynamic braking strategy. The proposed controller has two layers: the first layer termed the supervisory layer specifies the region of operation of the sub-controllers within the second layer called the execution layer. The outputs of the sub-controllers are then fuzzily combined to achieve the overall objective of the system. The MLFC was found to be very robust to any changes in the network configuration. The scheme was tested on a nine bus system with three generators and three loads and also on the IEEE four generator test system. The simulation results provided shows the effectiveness of the MLFC and thus the proposed fuzzy strategy provides a simple and effective method of transient stability enhancement.
Keywords :
braking; fuzzy control; power system control; power system transient stability; IEEE four generator test system; dynamic braking strategy; electric power system; execution layer; fuzzy strategy; multi-layer fuzzy controller; nine bus system; power networks control; sub-controllers; supervisory layer; transient stability enhancement; Control systems; Fuzzy control; Fuzzy logic; Fuzzy systems; Photovoltaic systems; Power system control; Power system dynamics; Power system stability; Power system transients; Uncertainty;
Conference_Titel :
Industry Applications Conference, 2003. 38th IAS Annual Meeting. Conference Record of the
Print_ISBN :
0-7803-7883-0
DOI :
10.1109/IAS.2003.1257514