Optimization of Large Electrical Power Systems

Area: Optimization
This paper is an example of an industrial application of a wellknown automatic differentiation (AD) tool for large nonlinear optimizations in Power Systems. The efficiency of modern AD tools for computing first and secondorder derivatives of sparse problems, makes its use now conceivable not only for prototyping models but also for operational softwares in an industrial context. The problem described here is to compute an electrical network steady state so that physical and operating constraints are satisfied and an economic criterion optimized. This optimal power flow problem is solved with an interior point method. Necessary derivatives for the simulator of the network equations are either handcoded or based on an AD tool, namely ADOLC. This operator overloading tool has the advantage of offering easytouse drivers for the computation of sparse derivative matrices. Numerical examples of optimizations are made on large test cases coming from realworld problems. They allow an interesting comparison of performance for derivative computations.
Related ADTool:
ADOLC
Reference:
People involved:
Reference:
Fabrice Zaoui
Large Electrical Power Systems Optimization Using Automatic Differentiation
Advances in Automatic Differentiation, Springer, 2008
Large Electrical Power Systems Optimization Using Automatic Differentiation
Advances in Automatic Differentiation, Springer, 2008
People involved:
 Fabrice Zaoui,
RTE France  Andrea Walther,
TU Dresden  Assefaw Gebremedhin,
Old Dominion University  Alex Pothen,
Purdue University