Download Computational methods for large sparse power systems by S A Soman; S A Khaparde; Shubha Pandit PDF

By S A Soman; S A Khaparde; Shubha Pandit

ISBN-10: 0792375912

ISBN-13: 9780792375913

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Extra info for Computational methods for large sparse power systems analysis : an object oriented approach

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9. It can be seen that while the phase-a voltage swells significantly, the voltage of phaseb sags. The magnitude of the phase-c voltage remains almost constant. --. <::. a.. 3 ! <::. a.. <::. , I a.. 9. 5 Waveform Distortion This is the steady-state deviation in the voltage or current waveform from an ideal sine wave. These distortions are classified as de offset, harmonics and notching. The major causes of dc offsets in power systems are geomagnetic disturbance and half-wave rectification. The offsets due to geomagnetic disturbances are especially severe in higher latitudes.

Therefore any fault upstream or downstream in Feeder-B does not affect the sensitive load. For a fault upstream in Feeder-A, the solid state circuit breaker 1 opens and the sensitive load is transferred to Feeder-B in 1. Introduction 21 less than a cycle by the SSTS. In the same way, the sensitive load can also be transferred to Feeder-B in case of voltage sag/swell in feeder A. Also the voltage of the sensitive load can be regulated by a DST ATCOM. This DSTATCOM can eliminate any fluctuation in the load terminal voltage.

The main purpose of this device is to protect sensitive loads from sag/swell, interruptions in the supply side. This is accomplished by rapid series voltage injection to compensate for the drop/rise in the supply voltage. Since this is a series device, it can also be used as a series active filter. Even though this device has the same structure as that of an SSSC, the operating principles of the two devices differ significantly. While the SSSC injects a balanced voltage in series, the DVR may have to inject unbalanced voltages to maintain the voltage at the load terminal in case of an unbalanced sag in the supply side.

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Computational methods for large sparse power systems analysis : an object oriented approach by S A Soman; S A Khaparde; Shubha Pandit


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