By Joe H. Chow, Felix F. Wu, James A. Momoh
Applied arithmetic for Restructured electrical energy platforms: Optimization, keep an eye on, and Computational Intelligence contains chapters in keeping with paintings awarded at a countrywide technology origin workshop equipped in November 2003. The subject of the workshop was once using utilized arithmetic to unravel demanding energy method difficulties. The components incorporated regulate, optimization, and computational intelligence. as well as the introductory bankruptcy, this booklet contains 12 chapters written through popular specialists of their revered fields. every one bankruptcy follows a three-part structure: (1) an outline of a huge energy approach challenge or difficulties, (2) the present perform and/or specific learn techniques, and (3) destiny learn instructions. jointly, the technical components mentioned are voltage and oscillatory balance, strength method safeguard margins, hierarchical and decentralized keep an eye on, balance tracking, embedded optimization, neural community keep watch over with adaptive critic structure, keep watch over tuning utilizing genetic algorithms, and cargo forecasting and part prediction.
This quantity is meant for strength platforms researchers and pros charged with fixing electrical and tool approach problems.
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Extra info for Applied Mathematics for Restructured Electric Power Systems: Optimization, Control, and Computational Intelligence
Irp +4 s 2 30 3. APPLIED MATHEMATICS FOR POWER SYSTEMS Application of the New Method to Large Scale Power Systems In order to apply this approach to a large-scale transmission system, a two step process was used. In the first step, to study the voltage stability margin of any transmission line, the system has to be simplified into an equivalent two-bus system for this particular line. 3. Basically the idea is to keep all operating conditions of the transmission line intact and simply represent the rest of the system as the sending-end infinite bus.
Keeping an Eye on Power System Dynamics. IEEE Computer Applications in Power, 10-4:50-54, October 1997.  N. G. Hingorani and L. Gyugyi. Understanding FACTS. IEEE PressIMcGraw-Hill, New York, 2000. V. H. Chow. SVC Control Design Concepts for System Dynamic Performance. in IEEE Power Engineering Society Publication 87TH0187-5-PWR Application of Static Var Systems for System Dynamic Performance, 1987. B. N. M. Falcao. Simultaneous Tuning of Power System Damping Controllers using Genetic Algorithms.
The normal answer to this dilemma is to provide reactive power sources exactly at the location where the reactive power is consumed. And, since strictly speaking it does not take any "fuel" to provide reactive power, it should be possible to distribute reactive power sources (such as capacitors) all around the network to avoid the problem of heating the conductors and causing voltage drops. Unfortunately, this is not practical in the extreme since there are literally millions of lines and loads connected to the grid and so this would require millions of reactive power sources - all controlled to provide exactly the right amount of reactive power at the right time every second of every day.