Electrical Cable Optimization in Offshore Wind Farms-A Review

被引:44
作者
Perez-Rua, Juan-Andres [1 ]
Cutululis, Nicolaos A. [1 ]
机构
[1] Tech Univ Denmark, Dept Wind Energy, DK-4000 Roskilde, Denmark
关键词
Balance of plant; cable sizing; combinatorial optimization; dynamic rating; electrical cables; heuristics; global optimization; mathematical programming; metaheuristics; offshore wind farm; static rating; SPANNING TREE PROBLEM; DESIGN; NETWORK; LAYOUT; CONNECTION; ALGORITHMS; TOPOLOGY; MODEL;
D O I
10.1109/ACCESS.2019.2925873
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A state-of-the-art review of the optimization of electrical cables in offshore wind farms (OWFs) is presented in this paper. One of the main contributions of this paper is to propose a general classification of this problem, framed in the general context of the OWFs design and optimization (OWiFDO). The classification encompasses two complementary aspects. First, the optimum sizing of electrical cables, with the three main approaches used nowadays, static-rated sizing, dynamic load cycle profile, and dynamic full time series, is conceptually analyzed and compared. The latest techniques and advances are described, along with the presentation of potential research areas not thoroughly addressed today, such as dynamic cable rating, and cable's lifetime estimation under time-varying conditions. Second, the network optimization of large OWFs is thoroughly presented, dividing the problem with a bottom-top approach: cable layout of the collection system, wind turbines (WTs) allocation to offshore substations (OSSs), number and location of OSSs, and interconnection between OSSs and onshore connection points (OCPs). A comparison among different methods is performed, taking into consideration the main engineering constraints. Global optimization, specifically, binary programming (BIP) or mixed-integer linear programming (MILP), is envisaged as the best way to tackle this topic. The full combinatorial problem is found to be better addressed following a top-bottom approach, combining exact formulations with high-level heuristics, or holistically with evolutionary algorithms.
引用
收藏
页码:85796 / 85811
页数:16
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