Abstract
This article explores an automated approach for the efficient placement of substations and the design of an inter-array electrical collection network for an offshore wind farm through the minimization of the cost. To accomplish this, the problem is represented as a number of sub-problems that are solved in series using a combination of heuristic algorithms. The overall problem is first solved by clustering the turbines to generate valid substation positions. From this, a navigational mesh pathfinding algorithm based on Delaunay triangulation is applied to identify valid cable paths, which are then used in a mixed-integer linear programming problem to solve for a constrained capacitated minimum spanning tree considering all realistic constraints. The final tree that is produced represents the solution to the inter-array cable problem. This method is applied to a planned wind farm to illustrate the suitability of the approach and the resulting layout that is generated.
Original language | English |
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Pages (from-to) | 1689-1708 |
Number of pages | 20 |
Journal | Engineering Optimization |
Volume | 47 |
Issue number | 12 |
DOIs | |
Publication status | Published - 2 Dec 2015 |
ASJC Scopus subject areas
- Computer Science Applications
- Control and Optimization
- Management Science and Operations Research
- Industrial and Manufacturing Engineering
- Applied Mathematics
Keywords
- capacitated minimum spanning tree
- clustering
- inter-array cabling
- offshore wind farm layout optimization
- pathfinding