Development of a supervisory controller for energy management problems
Author
Akgün, Emre
Advisor
Çakmakcı, Melih
Date
2011Publisher
Bilkent University
Language
English
Type
ThesisItem Usage Stats
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Abstract
Multi energy source systems, like hybrid electric vehicles in automotive industry,
started to attract attention as a remedy for the greenhouse gas emission problem.
Although their environmental performances are better than conventional
technologies such as the case of gasoline vehicles versus hybrid electric vehicles
in automotive industry, their operational management can be challenging due to
their increased complexity. One of these challenges is the operational management
of the energy flow among these multiple sources and sinks which in this
context referred as the energy management problem.
In this thesis, a supervisory controller is developed to operate at a residential
environment with multiple energy sources. First, dynamic optimization techniques
are applied to the available mathematical models of the multi-energy
sources to create a non-causal optimal controller. Then, a set of implementable
rules are extracted by analyzing the optimal trajectories resulted from the dynamic
optimization to create a causal supervisory controller.
Several simulations are conducted with Matlab/Simulink to validate the developed
controller. The supervisory controller achieves not only a daily cost
reduction between 6-7.5% compared to conventional energy infrastructure used
in residential areas but also performs 2% better than heuristic control techniques
available in the literature. Another simulation study is conducted, with different
demand cycles, for verification of the controller. Although its performance
reduces as expected, it still performs 1% better than heuristic control strategies.
In the final part of this thesis, the formulation used in the residential problem
which was originally adopted from an example in automotive industry, is generalized
so that it can be used in all types of energy management problems. Finally,
for exemplary purposes, a formulation for energy management problem in mobile
devices is created by using the developed generic formulation.