Power System Dynamics and Stability: With Synchrophasor Measurement and Power System Toolbox (Wiley - IEEE)
| Author | : | |
| Rating | : | 4.93 (834 Votes) |
| Asin | : | 111935577X |
| Format Type | : | paperback |
| Number of Pages | : | 376 Pages |
| Publish Date | : | 2015-09-14 |
| Language | : | English |
DESCRIPTION:
He received his BS degrees in Electrical Engineering and Mathematics from the University of Minnesota, Minneapolis, in 1974, and his MS and PhD degrees from the University of Illinois, Urbana-Champaign, in 1975 and 1977. Sauer obtained his BS in Electrical Engineering from the University of Missouri at Rolla in 1969, and the MS and PhD degrees in Electrical Engineering from Purdue University in 1974 and 1977 respectively. He served as a facilities design enginee
Classic power system dynamics text now with phasor measurement and simulation toolboxThis new edition addresses the needs of dynamic modeling and simulation relevant to power system planning, design, and operation, including a systematic derivation of synchronous machine dynamic models together with speed and voltage control subsystems. Energy function methods are discussed for direct evaluation of stability. In this second edition, new chapters on synchrophasor measurement and using the Power System Toolbox for dynamic simulation have been added. Small-signal analysis is used for determining the electromechanical modes and mode-shapes, and for power system stabilizer design. Time-synchronized high-sampling-rate phasor measurement units (PMUs) to monitor power system disturbances have been implemented throughout North America and many other countries. These new materials will reinforce power system dynamic aspects treated more analytically in the earlier chapters.Key features:Systema
Small-signal analysis is used for determining the electromechanical modes and mode-shapes, and for power system stabilizer design. Time-synchronized high-sampling-rate phasor measurement units (PMUs) to monitor power system disturbances have been implemented throughout North America and many other countries. Reduced-order modeling based on integral manifolds is used as a firm basis for understanding the derivations and limitations of lower-order dynamic models. Following these developments, multi-machine model interco