Abstract
Offshore wind energy, as one of the featured rich renewable energy sources, is getting more and more attention. The cable connection layout has a significant impact on the economic performance of offshore wind farms. To make better use of the wind resources of a given sea area, a new method for optimal construction of offshore wind farms with different types of wind turbines has emerged in recent years. In such a wind farm, the capacities of wind turbines are not identical which brings new challenges for the cable connection layout optimization. In this work, an optimization model named CCLOP is proposed for such wind farms. The model incorporates both the cable capital cost and the cost of power losses associated with the cables in its objective function. To get an optimized result, a Voronoi diagram based adaptive particle swarm optimization with local search is proposed and applied. The simulation results show that the proposed method can help find a solution that is 12.74% outperformed than a benchmark.
Highlights
With the increasing demand for green energy, the use of rich renewable energy sources such as wind energy has drawn a wide attention [1]
With high investment benefits, researchers are devoted to studying the cable connection layout optimization problem (CCLOP) of offshore wind farms (OWFs) [4]
H =1 where HGT,m is the number of the wind turbine (WT) that transmit their power through the branch m of GT while Irate,q is decided by the WT type q, the mathematical expression is written as: Irate,q = √
Summary
With the increasing demand for green energy, the use of rich renewable energy sources such as wind energy has drawn a wide attention [1]. With the increasing capacity and distance to shore of offshore wind farm, the CELC becomes increasingly significant for CCLOP [8] To consider this factor, some studies have been conducted. Reference [15] is one of the earliest studies on solving the wind farm layout optimization problem for an OWFD where the WTs positions and the type on each position were optimized simultaneously to maximize the total power generation. A 3D wake model for complex terrain was established in [17] while the WT micro-siting problem was solved by the greedy algorithm considering installing WTs with different hub heights. To the best of our knowledge, this is the first work that proposes an optimization model for solving the CCLOP of OWFD.
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