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PHD THESIS
Background and objectives
A transition towards more renewable energy
sources is currently happening in Europe and
all over the world, which leads to increase in the
use of flexible hydropower plants to compensate
the highly changing production from intermittent
energy sources such as wind and solar energy.
In the study of dynamics and control of
integrated energy systems, the research focus
will be within hydropower systems, but in such
a way that the developed methods and tools are
relevant for other energy systems, too.
The study aims at developing a set of models
relevant for hydropower production from
precipitation, via transport through the
catchment to dams or rivers (hydrology) , as
well as flow in rivers and/or pressure shafts to
the turbine, including turbine, various pressure
shock damping devices, and possibly including
generator. The models will be encoded in a
Modelica library (using OpenModelica as an
open-source Modelica-based modelling and
simulation environment), and should be able to
interact with other libraries “downstream” from
the generator, e.g., including transmission, and
consumption.
Different methods for efficient analysis of the
models, such as decomposition into different
time scales, decoupling into subsystems and
others are the aims of study. The developed
methods should be implemented as tools
in Python (powerful open source programming
language), which can be interfaced to Open
Modelica via a Python API under development.
Othermethods for energy analysis and synthesis
of control systems exist, e.g., the Power flow
method, which attempts to integrate modelling
and control of the system. These methods are
designed for the overall power system network,
consisting of an interconnection of the various
components.
Process, Energy and
Automation Engineering
2016 – 2019
Dynamics and Control
of Integrated Energy
Systems
Supervisor:
Bernt Lie
Co-supervisor:
Roshan Sharma
Liubomyr Vytvytskyi
Screen dump of the library components combined
in the hydro power system
Schematic of a hydro power system
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