TY - JOUR
T1 - Complete joint-optimization for offshore wind farm planning
AU - Zuo, Tengjun
AU - Zhang, Yuchen
AU - Xiong, Liansong
AU - Su, Xiangjing
AU - Zhang, Xiaolian
AU - Meng, Ke
AU - Yang Dong, Zhao
AU - Liu, Haitao
AU - Hao, Sipeng
N1 - Publisher Copyright:
© 2024 The Authors
PY - 2024/6
Y1 - 2024/6
N2 - Offshore wind power is continuously developing for renewable energy generation. Generally, the overall planning work of offshore wind farms (OWFs) is divided into wind farm layout optimization (WFLO) and wind farm collector system optimization (WFCSO), which focus on wind turbines’ (WT) micro-siting and sea cables’ network design, respectively. Traditionally, the optimizations on these two subproblems are isolated, which lacks the integral consideration of their co-effect on the optimal planning solution. Moreover, the practicability of these optimizations also remains at a low level, with key practical factors being largely overlooked for the sake of model simplicity. To fill these gaps, this article proposes a complete modelling of the joint-optimization problem for OWF planning with a double-layer optimization framework. It not only considers the interplay between WFLO and WFCSO, but also well integrates all the essential and practical parts together, including the impacts of 3D seabed geography, the scalability to multiple offshore substations, the reliability concerns of WTs’ fatigue, and the layer-wise selection of solving algorithms to suit the different problem natures. The proposed optimization method is tested on a 50 WTs system through comparative studies, and the results verify the necessity of each designed part in the proposed joint planning model.
AB - Offshore wind power is continuously developing for renewable energy generation. Generally, the overall planning work of offshore wind farms (OWFs) is divided into wind farm layout optimization (WFLO) and wind farm collector system optimization (WFCSO), which focus on wind turbines’ (WT) micro-siting and sea cables’ network design, respectively. Traditionally, the optimizations on these two subproblems are isolated, which lacks the integral consideration of their co-effect on the optimal planning solution. Moreover, the practicability of these optimizations also remains at a low level, with key practical factors being largely overlooked for the sake of model simplicity. To fill these gaps, this article proposes a complete modelling of the joint-optimization problem for OWF planning with a double-layer optimization framework. It not only considers the interplay between WFLO and WFCSO, but also well integrates all the essential and practical parts together, including the impacts of 3D seabed geography, the scalability to multiple offshore substations, the reliability concerns of WTs’ fatigue, and the layer-wise selection of solving algorithms to suit the different problem natures. The proposed optimization method is tested on a 50 WTs system through comparative studies, and the results verify the necessity of each designed part in the proposed joint planning model.
KW - Collector system planning
KW - Offshore wind farm
KW - Seabed geography
KW - Wind farm layout
KW - Wind farm planning
UR - https://www.scopus.com/pages/publications/85185832316
U2 - 10.1016/j.ijepes.2024.109832
DO - 10.1016/j.ijepes.2024.109832
M3 - 文章
AN - SCOPUS:85185832316
SN - 0142-0615
VL - 157
JO - International Journal of Electrical Power and Energy Systems
JF - International Journal of Electrical Power and Energy Systems
M1 - 109832
ER -