Journal
2022 57TH INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE (UPEC 2022): BIG DATA AND SMART GRIDS
Volume -, Issue -, Pages -Publisher
IEEE
DOI: 10.1109/UPEC55022.2022.9917853
Keywords
Load Frequency Controller; Artificial Neural Network; Proportional-Integral-Derivative; Power System Network and Stability
Ask authors/readers for more resources
In this paper, a Load Frequency Controller based on an Artificial Neural Network (ANN) technique is designed for a single-area Power System Network (PSN). The proposed controller demonstrates better operation performance compared to a Proportional-Integral-Derivative (PID) controller in terms of transit state and deviation issues under different states of step-change loads.
A Load Frequency Controller (LFC) is considered an essential part in a single-area Power System Network (PSN) to adjust its frequency level and enhance the output power when the electrical demand is changed rapidly. In this paper, the LFC based on an Artificial Neural Network (ANN) technique is designed for the single-area PSN. The training data of the ANN model are collected from a proposed Simulink test. Then, a MATLAB/Simulink model of the single-area PSN is developed to assess this proposal. The results show that the operation work of the proposed ANN controller is better than a Proportional-Integral-Derivative PID controller under the different states of step-change loads in the term of transit state and deviation issues.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available