Reducing Instability in Power Distribution Network Using Intelligent Control of System Load Frequency Changes

Onuoha I.S., Alor M.O. and Ebere U.C.
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Onuoha I.S.: Enugu State University of Science and Technology, Nigeria
Alor M.O.: Enugu State University of Science and Technology, Nigeria
Ebere U.C.: Destinet Smart Technologies, Enugu, Nigeria

International Journal of Research and Innovation in Applied Science, 2022, vol. 7, issue 4, 34-39

Abstract: This work presents reducing frequency instability in power distribution network using intelligent control of system load frequency changes. The study reviewed literatures and identified that load changes affects frequency which causes transient instability. Empirical study of the Independence Layout Injection 15MVA Substation was performed from the data collected at Enugu State Electricity Distribution Company (EEDC). From the study it was observed that critical time which are the peak periods are 13:00; 17:00 and 21:00hrs respectively and hence need automatic control. This was achieved using mathematical and structural modeling approach which employed data collection, self defining equations, and neural network, to develop a load frequency controller and then tested with Simulink. The result showed that the controller was able to monitor the load flow in the during the identified peak periods to control the load and hence maintain stable frequency.

Date: 2022
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