Abstract
The paper first describes the mechanism of the inadequate motion of a transformer's tap changer. We then outline the original fuzzy expert AVQC (Automatic Voltage and Reactive Control) method in use at Tohoku Electric Power Company. We propose improved fuzzy expert and neural network methods to prevent unnecessary tap changer actions. In order to validate the improved method, simulations of tap changer behavior under various operating conditions were conducted. The results of the simulations and analyses are also presented. In the last section, we briefly recommend prudence in utilizing on-load tap changers under critical operating conditions in terms of transient stability of a power system.
Original language | English |
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Title of host publication | 2003 IEEE Bologna PowerTech - Conference Proceedings |
Pages | 2-8 |
Number of pages | 7 |
Volume | 3 |
DOIs | |
Publication status | Published - 2003 |
Event | 2003 IEEE Bologna PowerTech Conference - Bologna Duration: 2003 Jun 23 → 2003 Jun 26 |
Other
Other | 2003 IEEE Bologna PowerTech Conference |
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City | Bologna |
Period | 03/6/23 → 03/6/26 |
Keywords
- Fuzzy expert
- Neural network control and BP algorithm
- Power system control
- Power systems analysis
- Voltage and reactive power control
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Fuel Technology