Robust decentralized load frequency control of interconnected power system with Generation Rate Constraint using Type-2 fuzzy approach

• Published in: International journal of electrical power & energy systems Vol. 33; no. 3; pp. 699 - 707
• Main Authors: Sudha, K.R., Vijaya Santhi, R.
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 01.03.2011; Elsevier
• Subjects: Applied sciences; Disturbances. Regulation. Protection; Electrical engineering. Electrical power engineering; Electrical machines; Electrical power engineering; Exact sciences and technology; Generation Rate Constraint (GRC); Load frequency control; Miscellaneous; Operation. Load control. Reliability; Power networks and lines; Regulation and control; Robust control; Type-2 fuzzy controller; Robust control; Type-2 fuzzy controller; Load frequency control; Generation Rate Constraint (GRC); Performance evaluation; Dynamic response; Integral proportional control; Power system control; Control system; Interconnected power system; Power system stability; System design; Power electronics; Operating conditions; Fuzzy control; Electrical network; Decentralized control; Comparative study; Control code
• ISSN: 0142-0615; 1879-3517
• DOI: 10.1016/j.ijepes.2010.12.027

The Load Frequency Control (LFC) problem has been a major subject in electrical power system design/operation. LFC is becoming more significant recently with increasing size, changing structure and complexity in interconnected power systems. In practice LFC systems use simple Proportional Integral (PI) controllers. As the PI control parameters are usually tuned, based on classical approaches. Moreover, they have fixed gains; hence are incapable of obtaining good dynamic performance for a wide range of operating conditions and various load changes, in multi-area power system. Literature shows that fuzzy logic controller, one of the most useful approaches, for utilizing expert knowledge, is adaptive in nature and is applied successfully for power system stabilization control. This paper proposes a Type-2 ( T2) fuzzy approach for load frequency control of two-area interconnected reheat thermal power system with the consideration of Generation Rate Constraint (GRC). The performance of the Type-2 ( T2) controller is compared with conventional controller and Type-1 ( T1) fuzzy controller with regard to Generation Rate Constraint (GRC). The system parametric uncertainties are verified by changing parameters by 40% simultaneously from their typical values.