Authors:
Martina Fischetti
1
and
David Pisinger
2
Affiliations:
1
Vattenfall BA Wind and Technical University of Denmark, Denmark
;
2
Technical University of Denmark, Denmark
Keyword(s):
Optimization, Mixed Integer Linear Programming, Wind Energy, Routing, Offshore Cables, Green Energy.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Artificial Intelligence
;
Energy and Environment
;
Knowledge Discovery and Information Retrieval
;
Knowledge-Based Systems
;
Linear Programming
;
Methodologies and Technologies
;
Operational Research
;
Optimization
;
Pattern Recognition
;
Routing
;
Software Engineering
;
Symbolic Systems
Abstract:
Wind power is a leading technology in the transition to sustainable energy. Being a new and still more competitive field, it is of major interest to investigate new techniques to solve the design challenges involved. In this paper, we consider optimization of the inter-array cable routing for offshore wind farms, taking power losses into account. Since energy losses in a cable depend on the load (i.e. wind), cable losses are estimated by considering a possibly large number wind scenarios. In order to deal with different wind scenarios efficiently we used a precomputing strategy. The resulting optimization problem considers two objectives: minimizing immediate costs (CAPEX) and minimizing costs due to power losses. This makes it possible to perform various what-if analyses to evaluate the impact of different preferences to CAPEX versus reduction of power losses. Thanks to the close collaboration with a leading energy company, we have been able to report results on a set of real-world
instances, based on six existing wind parks, studying the economical impact of considering power losses in the cable routing design phase.
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