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Combined approach based on ACO with MTSP for optimal internal electrical system design of large offshore wind farm

机译:基于ACO和MTSP的组合方法用于大型海上风电场的内部电气系统优化设计

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The wind turbine (WT) layout and electrical system layout plays a vital role in offshore wind farm (OWF) design. The wake effect has a significant impact on the power production of the OWF. WTs in wake region will not experience healthy wind; hence it affects the power production. The proper placement of WTs can reduce the wake effect in OWF. The optimal design of large OWF is based on combined approach of Ant colony optimization (ACO) with multiple travelling salesmen problem (MTSP) is presented. The objectives of the approach are to improve power production, minimize the length of cable and cable cost. By considering (a) placement of WT with consideration of wake effect, (b) placement of substation, (c) selection of submarine cables with higher reliability and minimal power loss, and (d) minimum length of WT cable routing with zero cross connection. ACO-MTSP approach is applied on large OWF connected with 280 WTs and results are compared with the outcome of reference OWF.
机译:风力涡轮机(WT)布局和电气系统布局在海上风电场(OWF)设计中起着至关重要的作用。唤醒效应对OWF的发电量有重大影响。尾流地区的WT将不会遇到健康的风;因此会影响电力生产。 WT的正确放置可以减少OWF中的唤醒效应。提出了基于蚁群算法(ACO)和多重旅行商问题(MTSP)相结合的大型OWF的优化设计方法。该方法的目的是提高发电量,最大程度地减少电缆长度和电缆成本。通过考虑(a)考虑唤醒效应的WT布置,(b)变电站的布置,(c)选择具有更高可靠性和最小功率损耗的海底电缆以及(d)具有零交叉连接的WT电缆布线的最小长度。 ACO-MTSP方法应用于与280 WT连接的大型OWF,并将结果与​​参考OWF的结果进行比较。

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