A synchronization methodology for 3D offshore wind farm layout optimization with multi-type wind turbines and obstacle-avoiding cable network

Wu，Yan1,2,3; Xia，Tianqi3; Wang，Yufei1; Zhang，Haoran3,4; Feng，Xiao2; Song，Xuan5; Shibasaki，Ryosuke3

2022-02-01

10.1016/j.renene.2021.12.057

RENEWABLE ENERGY   影响因子和分区

0960-1481

1879-0682

Offshore wind farms are increasingly becoming the focus of clean sources market because of the huge energy potential and fast-maturing technology. The existing researches normally optimize the wind turbine layout and two-dimensional cable routing independently. This work focuses on the synchronization optimization of site selection of the offshore wind farm, three-dimensional wind turbine layout and three-dimensional cable network routing based on meta-heuristic algorithms and geographic information systems. Several practical issues, i.e., restricted areas, power generation, cable network and energy loss, are taken into consideration. A two-layer model is proposed. The outer layer model is for the site selection and the wind turbine layout optimization. The inner layer model is for the obstacle-avoiding cable routing optimization. In this stage, the seabed terrain is considered for the first time. The proposed integrated model is complex and non-convex. Thus, a hybrid method including an improved ant colony optimization combined with genetic algorithm, dual-simplex method and Kruskal algorithm is proposed to search the solution more efficiently. The initialization stage of the hybrid method is improved from random assignment to directional assignment. The directional solution is obtained by the widely used genetic algorithm. A case study based on a real offshore wind farm is established to prove the effectiveness of the proposed methodology. The results show an over one million dollars increase in annual benefit compared with conventional methods.

Cable network Meta-heuristic algorithms Multi-type wind turbine Offshore wind farm Seabed terrain

SCI ; EI

英语

其他

National Natural Science Foun-dation of China[22022816,22078358]

Science & Technology - Other Topics ; Energy & Fuels

Green & Sustainable Science & Technology ; Energy & Fuels

WOS:000778545900012

PERGAMON-ELSEVIER SCIENCE LTD

20215211387388

Ant colony optimization ; Cables ; Electric utilities ; Energy dissipation ; Genetic algorithms ; Heuristic algorithms ; Linear programming ; Offshore oil well production ; Site selection ; Wind turbines

Oil Field Production Operations:511.1 ; Energy Losses (industrial and residential):525.4 ; Wind Power (Before 1993, use code 611 ):615.8 ; Computer Programming:723.1 ; Optimization Techniques:921.5

ENGINEERING

2-s2.0-85121619076

Scopus

1.School of Chemical Engineering and Environment,China University of Petroleum (Beijing),Beijing,18 Fuxue Road, Changping,102249,China
2.School of Chemical Engineering and Technology,Xi'an Jiaotong University,Xi'an,28 Xianning West Road,710049,China
3.Center for Spatial Information Science,The University of Tokyo,Chiba,5-1-5 Kashiwanoha, Kashiwa-shi,277-8568,Japan
4.School of Business,Society and Engineering,Mälardalen University,Västerås,721 23,Sweden
5.SUSTech-UTokyo Joint Research Center on Super Smart City,Department of Computer Science and Engineering,Southern University of Science and Technology (SUSTech),Shenzhen,China

Wu，Yan,Xia，Tianqi,Wang，Yufei,et al. A synchronization methodology for 3D offshore wind farm layout optimization with multi-type wind turbines and obstacle-avoiding cable network[J]. RENEWABLE ENERGY,2022,185:302-320.

Wu，Yan.,Xia，Tianqi.,Wang，Yufei.,Zhang，Haoran.,Feng，Xiao.,...&Shibasaki，Ryosuke.(2022).A synchronization methodology for 3D offshore wind farm layout optimization with multi-type wind turbines and obstacle-avoiding cable network.RENEWABLE ENERGY,185,302-320.

Wu，Yan,et al."A synchronization methodology for 3D offshore wind farm layout optimization with multi-type wind turbines and obstacle-avoiding cable network".RENEWABLE ENERGY 185(2022):302-320.