LOAD FREQUENCY CONTROL OF INTERCONNECTED AREA NETWORK USING ARTIFICIAL INTELLIGENCE: A STUDY OF OWERRI METROPOLIS

Summary

This paper focuses on the analysis of Owerri network using load frequency control. The LFC is further analyzed
using fuzzy logic controller and neural network controller for optimization. The result is compared and relevant
conclusions are drawn. Applying a conventional load frequency control (LFC), the deviation error in the
frequency is high after about 15 seconds and it continues on that steady deviation error. When fuzzy logic
control is applied, it continue in a stable manner without error until 10 seconds. The frequency continues to
fluctuate until it comes to stability for the specified three areas. Area 1 became perfectly stable after 27
seconds, while area 2 became perfectly stable after 19 seconds and area 3 after 26 seconds. It can be concluded
that applying Fuzzy Load Frequency Controls (FLFC) to Owerri network helped to stabilize the frequency of
the network. It also achieved zero steady state error and inadvertent interchange, safe operation of the system,
balancing of the voltage and achieved load reducing system collapse and low power outages.

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