167 Machine learning of diagnostic knowledge for a power distribution fault diagnostician using a genetic algorithm: J. Ypsilantis, H. Yee, pp 809–812

• Publisher: Elsevier Science
• Year: 1994
• Tongue: English
• Weight: 131 KB
• Volume: 2
• Category: Article
• ISSN: 0967-0661
• DOI: 10.1016/0967-0661(94)91794-9

✦ Synopsis

application of the tieline Power of the system to the decentralized control design, An illustrative example shows that the define Power is an important variable, essenual to multimachine power system control. This study also suggests the possibility of a unified design for decentralized systems of both voltage and power stabilization and load frequency control. 161 Intelligent Adaptive Control of a Multi-Machine Power System B.W. Hogg, S. Jovanovic, B. Fox, E. Swidenbank, pp 779-782

The paper presents an intelligent adaptive turbine control scheme intended to imwove the overall control performance of a multimachine power system. Supplementary rule-based control is applied to the turbine governor, taking account of generator acceleration/deceleration as a measure of the imbalance between mechanical and electrical Power. It is shown that this approach is capable of achieving more-effective control of frequency transients on multi-machine Power systems.