Abstract
This paper includes an application of layered artificial neural network controller to study load-frequency control problem in power system. The control scheme guarantees that steady state error of frequencies and inadvertent interchange of tie-lines are maintained in a given tolerance limitation. The proposed control has been designed for a three-area interconnected power system that two areas include steam turbines and the other area includes a hydro turbine. Only one artificial neural network (ANN) controller, which controls the inputs of each area in the power system together, is considered. In the study, back propagation-through-time algorithm is used as neural network learning rule. The performance of the power system is simulated by using conventional integral controller and ANN controller, separately. By comparing the results for both cases, the performance of ANN controller is better than conventional controllers.
| Original language | English |
|---|---|
| Title of host publication | 2001 IEEE Porto Power Tech Proceedings |
| Pages | 465-469 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 2001 |
| Event | 2001 IEEE Porto Power Tech Conference - Porto, Portugal Duration: 10 Sept 2001 → 13 Sept 2001 |
Publication series
| Name | 2001 IEEE Porto Power Tech Proceedings |
|---|---|
| Volume | 2 |
Conference
| Conference | 2001 IEEE Porto Power Tech Conference |
|---|---|
| Country/Territory | Portugal |
| City | Porto |
| Period | 10/09/01 → 13/09/01 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- ACE
- AGC
- ANN
- Power system
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