Applied Mathematics for Restructured Electric Power Systems:
Optimization, Control, and Computational Intelligence consists of
chapters based on work presented at a National Science Foundation
workshop organized in November 2003. The theme of the workshop was
the use of applied mathematics to solve challenging power system
problems. The areas included control, optimization, and
computational intelligence. In addition to the introductory
chapter, this book includes 12 chapters written by renowned experts
in their respected fields. Each chapter follows a three-part
format: (1) a description of an important power system problem or
problems, (2) the current practice and/or particular research
approaches, and (3) future research directions. Collectively, the
technical areas discussed are voltage and oscillatory stability,
power system security margins, hierarchical and decentralized
control, stability monitoring, embedded optimization, neural
network control with adaptive critic architecture, control tuning
using genetic algorithms, and load forecasting and component
prediction.
This volume is intended for power systems researchers and
professionals charged with solving electric and power system
problems.
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