Environmental Engineering Reference
In-Depth Information
functions. These marginal values allow us to assess how prices throughout the net-
work can vary according to the ability of the DER technologies to provide power
closer to the loads, while simultaneously reducing delivery power losses. Data such
as this provides valuable information when comparing the effects different operating
strategies DERs can have on the performance of energy service networks.
As described in this chapter, the formulation of optimisation problems concerning
the combination and integration of electrical and natural gas networks under the
presence of embedded technologies is possible. By combining the objective function
and constraint concepts with the modelling covered in Chapters 3 and 4, the TCOPF
tool is able to coordinate and evaluate the performance of energy infrastructures during
multiple time periods. Thus, the optimisation solver presented addresses optimal flow
delivery and the dispatch of conversion technologies while considering energy storage
management issues as well.
Although the framework for integrated energy system analysis has been pre-
sented, it is imperative to evaluate the applicability of the modelling tool through case
studies in order to obtain insightful knowledge. Developing case studies allow us to
analyse the techno-economical output data this optimisation program yields, such
as determining the different profiles and operational patterns that might arise when
embedded technologies are abundant in the networks; these examples are featured in
Chapter 6, while in Chapter 7 the TCOPF program is expanded to consider modelling
PHEV mobility and a detailed case study is presented giving more priority to flexible
electric vehicle charging patterns.
 
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