DocumentCode :
2421553
Title :
PI fuzzy sliding mode load frequency control of multiarea interconnected power systems
Author :
Meng, Xiangping ; Gong, Qingxian ; Feng, Lei ; Zheng, Wen ; Zhang, Weijun
Author_Institution :
Dept. of Electr. Eng., Changchun Inst. of Technol., Jilin, China
fYear :
2003
fDate :
8-8 Oct. 2003
Firstpage :
1023
Lastpage :
1027
Abstract :
A synthetic PI fuzzy sliding mode load frequency control method for multiarea interconnected power systems is proposed in this paper. The method has the advantages of PI and sliding mode control, using sliding mode surface with integral model makes the system can reach on switching surface from any initial state. After reaching on switching surface, system is controlled by PI controller based on new area control error (ACEN). The coefficient of switching control is adjusted by fuzzy control model automatically. When considering generation rate constraint (GRC) and the governor deadband nonlinearity, the proposed synthetic control method can make systems have good dynamic performance. The design of controller in each area only considers the state information of itself area, and doesn´t consider the one of the others, thus make decentralised control be easier. Simulation results show that the proposed method is simple, effective, and can ensure that the overall system is asymptotically stable.
Keywords :
PI control; asymptotic stability; control system synthesis; decentralised control; frequency control; fuzzy control; power system control; power system interconnection; variable structure systems; ACEN; GRC; PI controller; PI fuzzy sliding mode load frequency control; area control error; asymptotically stability; controller design; decentralised control; fuzzy control; generation rate constraint; governor deadband nonlinearity; integral model; multiarea interconnected power systems; power system control; proportional integral control; sliding mode control; sliding mode surface; state information; switching control; switching surface; synthetic control method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control. 2003 IEEE International Symposium on
Conference_Location :
Houston, TX, USA
ISSN :
2158-9860
Print_ISBN :
0-7803-7891-1
Type :
conf
DOI :
10.1109/ISIC.2003.1254778
Filename :
1254778
Link To Document :
بازگشت