JOURNAL ARTICLE

Intelligent Controllers for Load Frequency Control of Two-Area Power System

S.A. AzeerR. Ramjug-BallgobinS. Z. Sayed Hassen

Year: 2017 Journal:   IFAC-PapersOnLine Vol: 50 (2)Pages: 301-306   Publisher: Elsevier BV

Abstract

This paper considers the problem of load frequency control using intelligent controllers. Three types of turbines, namely the non-reheat steam turbine, reheat steam turbine and hydraulic turbine, are considered. Two-area power systems undergoing sudden load changes in each area are implemented and analysed. The objective is to eliminate errors due to the disturbances in both frequency and tie-line power so as to ensure an economic power generation. PID, Fuzzy Logic and ANN-NARMA-L2 compensating schemes are designed and successfully simulated. In all the three cases, steady-state errors present in the systems are removed. The results obtained are promising and show the satisfactory performance of the intelligent controllers in achieving load frequency control.

Keywords:
Control theory (sociology) Steam turbine Automatic frequency control Electric power system Turbine Hydraulic turbines Power (physics) Control engineering Computer science Automatic Generation Control Fuzzy logic Control (management) Engineering Artificial intelligence Mechanical engineering Telecommunications

Metrics

31
Cited By
0.79
FWCI (Field Weighted Citation Impact)
18
Refs
0.77
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Frequency Control in Power Systems
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Power System Optimization and Stability
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Microgrid Control and Optimization
Physical Sciences →  Engineering →  Control and Systems Engineering

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