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Robust Control for Grid Voltage Stability: High Penetration of Renewable Energy - Interfacing Conventional and Renewable Power Generation Resources (Paperback, Softcover reprint of the original 1st ed. 2014)
Loot Price: R4,889
Discovery Miles 48 890
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Robust Control for Grid Voltage Stability: High Penetration of Renewable Energy - Interfacing Conventional and Renewable Power Generation Resources (Paperback, Softcover reprint of the original 1st ed. 2014)
Series: Power Systems
Expected to ship within 10 - 15 working days
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This book makes the area of integration of renewable energy
into the existing electricity grid accessible to engineers and
researchers. This is a self-contained text which has models of
power system devices and control theory necessary to understand and
tune controllers in use currently. The new research in renewable
energy integration is put into perspective by comparing the change
in the system dynamics as compared to the traditional electricity
grid. The emergence of the voltage stability problem is motivated
by extensive examples. Various methods to mitigate this problem are
discussed bringing out their merits clearly. As a solution to the
voltage stability problem, the book covers the use of FACTS devices
and basic control methods. An important contribution of this book
is to introduce advanced control methods for voltage stability. It
covers the application of output feedback methods with a special
emphasis on how to bound modelling uncertainties and the use of
robust control theory to design controllers for practical power
systems. Special emphasis is given to designing controllers for
FACTS devices to improve low-voltage ride-through capability of
induction generators. As generally PV is connected in low voltage
distribution area, this book also provides a systematic control
design for the PV unit in distribution systems. The theory is amply
illustrated with large IEEE Test systems with multiple generators
and dynamic load. Controllers are designed using Matlab and tested
using full system models in PSSE.
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