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Power Distribution System State Estimation (Hardcover)
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Power Distribution System State Estimation (Hardcover)
Series: Energy Engineering
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State estimation is a key function for real-time operation and
control of electrical power systems since its role is to provide a
complete, coherent, and reliable network real-time model used to
set up other real-time operation and control functions. In recent
years it has extended its applications to monitoring active
distribution networks with distributed energy resources. The inputs
of a conventional state estimator are a redundant collection of
real-time measurement, load and production forecasts and a
mathematical model that relates these measurements to the complex
nodal voltages, which are taken as the state variables of the
system. The goal of state estimation is to adjust models so that
they are closer to observed values and deliver better forecasts. In
power systems, this is key to maintaining power quality and
operating generation and storage units well. This book, written by
international authors from industry and universities,
systematically addresses state estimation in power distribution
systems. Chapters convey techniques for distribution system state
estimation, such as classical methods, three-phase network
modelling, power flow calculation, fast decoupled approaches and
their new application via complex per unit normalization, the
Bayesian method, and multiarea state estimation. Also, synchronized
and non-synchronized measurements with different sample rates,
real-time monitoring, and practical experiences of distribution
state estimation are covered. Researchers involved with electrical
power and electrical distribution systems, professionals working in
utilities, advanced students and PhD students will find this work
essential reading.
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