The Combined Heat and Power System of Greater Copenhagen, which is a
district heating system supplied by CHP plants, is one of the largest of its kind.
It is a complex system with different kind of production units, transmission
lines and heat storages. Huge costs are related to running the total system,
thus effcient planning is needed.
Today the daily planning for the system is done by a divided process, where pro-
duction companies create production plans, which are then re-optimized by the
heat companies taking into account transmission limitations and storages. The
re-optimizations are done using a mathematical mixed integer linear program
model known as The Katja Model.
In the Katja model the production units are included with a fixed production
level combined with marginal costs of changing this production level. In this
thesis, a much more detailed modeling of the production units of the CHP system
is introduced, called The Esben Model. By modifying/extending The Katja
Model with The Esben Model, The E&K Model, is derived. This combined
model is capable of finding a least cost plan for the entire system in a single
process and at the same time represents the production units in a more realistic
way than in the original Katja Model.
Tests of The E&K Model using real-life datasets are done. In the initial tests
it is seen that the complex modeling of a special energy tax makes the solver
run out of memory. Thus the modeling of this should be studied further. When
running the model without this energy tax a 24 hour plan is found within a
minute and as consequence the energy tax are removed from the model in the remaining tests.
These remaining tests shows how The E&K Model is capable of representing
technical and economical details such as unit commitment, complex production
profiles, exibility with respect to electricity prices and costs, multi-fuel boilers,
production level dependent fuel effciencies, emissions and the taxes on these and
much more. All this shows the many capabilities of the powerful and exible
tool which could be used to represent many other CHP systems.
In addition to The E&K Model a framework capable of simulating an optimal
periodic rescheduling process is presented. A periodical rescheduling process
should diminish the uncertainty of the information which the planning is based
upon. A test carried out with the framework illustrates that it is important that
the quality of the information is increased as time progresses if the periodical
rescheduling should have any effect.
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