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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shoureshi, R.A. Hoffner, B. Zhi Hu Kramer, R.A. |
| Copyright Year | 2001 |
| Description | Author affiliation: Center for Adv. Control of Energy & Power Syst., Colorado Sch. of Mines, Golden, CO, USA (Shoureshi, R.A.) |
| Abstract | The design of a neural fuzzy controller for the nonconforming electric load problem in automatic generation control (AGC) is presented. This new controller utilizes the predictive capabilities of neural networks, and the uncertainty compensation by fuzzy logic to formulate an intelligent AGC system. Area control error (ACE) and its integral (ACE) are used as input variables for this fuzzy controller, and the dispatcher's operating experiences are extracted to form a fuzzy control rule base. In order to reduce unnecessary movement of generating units, a combination of triangular and trapezoidal fuzzy membership functions are used for the input variable ACE. Performance of the neural fuzzy controller in a two-area tie-line model with actual toad data from a collaborating utility is demonstrated and compared with the present AGC system through simulations. Results show that the proposed neural fuzzy controller matches the demands of highly varying loads, and largely reduces unnecessary control movements of the generating units without detriment to the ACE or the frequency deviation. |
| Sponsorship | Grupo EDP |
| File Size | 623209 |
| File Format | |
| ISBN | 0780371399 |
| DOI | 10.1109/PTC.2001.964799 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2001-09-10 |
| Publisher Place | Portugal |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fuzzy control Electric variables control Automatic generation control Automatic control Input variables Control systems Neural networks Uncertainty Fuzzy logic Intelligent systems |
| Content Type | Text |
| Resource Type | Article |
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