"Simulation-Based Evolutionary Dynamic and Stochastic Optimization for Smart Electric Power Systems"
, TNF Technische-Naturwissenschaftlich Fakultät der Universität Linz, Linz, 11-2013
Simulation-Based Evolutionary Dynamic and Stochastic Optimization for Smart Electric Power Systems
Sprache des Titels:
The electric power systems research society early identied the necessity
of optimization both for planning and operation tasks, where formulations
such as the optimal power ow (OPF) problem shape this research domain
ever since. At the same time, technological changes to electric power grids
challenge new methods, requiring optimization in both dynamic as well as
uncertain systems. Optimization tasks for the control of numerous
distributed devices fundamentally require scalability aspects.
Heuristic optimization methods have evolved as being capable
of managing many of those upcoming needs. Simulation optimization
with metaheuristics provides a promising fundament for optimization under
uncertainty, and offers the basic approach for handling manifold challenging
optimization issues within this work. While various aspects of future
power grid optimization tasks are being analyzed, simulation-based methods
both for static but mainly for dynamic problems are developed. Further on,
simulation-based evolutionary policy function approximation is being discussed
for dynamic power ow control problems, which is presented both in
a generic manner as well as tailored to the electric engineering domain.
In a first experimental part, the developed methods are applied both to a
static probabilistic planning problem and to a dynamic OPF control task
within benchmark systems. Showing that approximate optimal policy-based
control yields competitive results compared to reference solutions, it additionally is able to make quick and robust control actions within dynamic and
stochastic environments, being scalable to numerous devices.
The second experimental part treats optimal load control issues in the smart
electric grids context. Electric vehicle (EV) charging control is defined as a
generic problem for optimal load control over time. Existing works in the
literature are being analyzed while major lacks can be identied that need
to be tackled.
Sprache der Kurzfassung:
TNF Technische-Naturwissenschaftlich Fakultät der Universität Linz