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

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 (...

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Bibliographic Details
Published in:International journal of electrical power & energy systems 2011-03, Vol.33 (3), p.699-707
Main Authors: Sudha, K.R., Vijaya Santhi, R.
Format: Article
Language:English
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
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Summary: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.
ISSN:0142-0615
1879-3517
DOI:10.1016/j.ijepes.2010.12.027