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A novel approach for automatic generation control of a multi-area power system

Authors: Swasti R. Khuntia; Sidhartha Panda;

A novel approach for automatic generation control of a multi-area power system

Abstract

This paper deals with artificial neural network (ANN) based ANFIS approach for automatic generation control (AGC) of a multi-area hydro-thermal system. The proposed ANFIS controller combines the advantages of fuzzy controller and quick response and adaptability nature of ANN. Appropriate generation rate constraints (GRC) have been considered for the thermal and hydro plants. The hydro area is considered with an electric governor and thermal area is considered with reheat turbine. The design objective is to improve the frequency deviations of the interconnected system. 1% step load perturbation has been considered occurring either in any individual area or occurring simultaneously in all the areas. Simulation results are presented to show the improved performance of ANFIS controller in comparison with an optimized conventional integral controller.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Top 10%
Average
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