Wind Farm Layout Under Alignment Constraints in Complex Sites
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Solution Overview
Problem
Existing methods for optimizing wind farm layout are inefficient for non-convex and non-connected areas, requiring significant computation time and memory, and do not account for alignment constraints, especially for offshore installations.
Innovation Solution
A method involving discrete wind speed and direction distributions, probability of occurrence, and a sequential positioning algorithm to optimize wind turbine placement in non-convex and non-connected areas, minimizing computation time and memory while adhering to alignment constraints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If evolution algorithms or genetic algorithms are used to optimize wind turbine positioning, then the annual energy production can be maximized, but the computation time and computer memory requirements become significant
Solution Approach 1:
The patent divides the continuous optimization problem into discrete steps by evaluating wind turbines at specific grid points rather than continuously searching the entire space. This segmentation of the search space into discrete locations reduces the computational complexity while still achieving optimal positioning.
Solution Approach 2:
The patent applies different evaluation criteria for different locations in the farm. By calculating the energy production for each wind turbine at each grid point and using these local evaluations to guide the overall optimization, the algorithm efficiently converges to the global optimum without requiring exhaustive search of the entire space.
2Manufacturing precision
If numerous tests are performed to obtain accurate positioning results, then the energy production optimization improves, but the computation time increases significantly
Solution Approach 1:
The patent performs preliminary actions by pre-calculating the energy production values for wind turbines at all grid points before the actual optimization process. This preliminary evaluation of the entire search space allows the optimization algorithm to quickly identify the best positions without requiring numerous iterative tests during the optimization process itself.
3Productivity
If wind turbines are positioned to maximize energy recovery, then annual energy production increases, but the complexity of determining optimal positioning increases
Solution Approach 1:
The patent creates a simplified discrete representation of the continuous optimization problem by using grid points to copy the essential characteristics of the search space. This discrete copying of the problem into manageable units (grid points with associated energy production values) reduces the complexity of the positioning method while maintaining the accuracy of the optimization results.
4Reliability
If alignment constraints are considered in wind farm construction, then offshore installation requirements are met, but the positioning flexibility is reduced
Solution Approach 1:
The patent introduces alignment constraints as asymmetric requirements that must be satisfied in addition to the optimization objective. By incorporating these asymmetric constraints into the positioning problem, the method ensures compliance with offshore installation requirements while still achieving optimal energy production within the restricted positioning flexibility.
Data Source
AI summary
The invention relates to a method for constructing a wind farm in a predetermined space, wherein at least the following successive steps are carried out:a) Forming (GR) various grids in the predetermined space,b) For each grid, determining the average annual energy production of a mini-farm (AEP-mf) consisting of wind turbines at the points of intersection of a unit cell,c) Choosing (Ch) a few grids that make it possible to maximize energy production,d) For each grid c in step c), determining a first layout (Alg1) of the predefined number of wind turbines on the grid,e) Modifying the position (Alg2) of the wind turbines on the grid,f) Determining a definitive layout (Disp_F) of the wind turbines in the predetermined space, and constructing (Const) the wind farm.