摘要
针对现阶段复杂地形风电场微观选址以及风力机布置等的密切关系,以风力机布置更加合理、上网电量更多、投资更加节省为目标,简要分析影响复杂地形风电场设计的主要因素,建立微观选址、集电线路、检修道路设计等一体化的优化问题数学模型,依托风电场区域内已有的1 a测风资料,运用遗传算法进行微观选址的优化,在风力机机位优化的基础上进一步利用单源最短路径算法、最小生成树算法等优化算法对集电线路和检修道路进行优化。实践表明,该文的研究结果可为实际的风电场建设前期工作提供重要的过程指导。
Aiming at the present stage the micro-site selection of wind farm in complex terrain and the wind turbine layout and other close relationship, and selecting more reasonable wind turbine layout, more online power and saving more investment as the goal, analyzing briefly the main factors influencing wind farm design in complex terrain and setting up integrated optimization mathematical model for micro-site selection, power lines and road maintenance design etc.. Based on the existing 1-year wind measurement data in the wind farm area, the genetic algorithm was used to optimize the micro-site selection. On the basis of location optimization of wind turbine, the optimization algorithms such as single-source shortest path algorithm and minimum spanning tree algorithm were used to optimize electric lines and maintenance roads. The practice shows that the research results can provide important process guidance for the actual preliminary work of wind farm construction.
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2017年第12期3368-3375,共8页
Acta Energiae Solaris Sinica
基金
中丹国际科技合作专项项目(2014DFG62530)
国网南瑞科技项目(风电机组智能控制)
南通市科技项目(BK2014028)
关键词
风电场
微观选址
集电线路
检修道路
智能优化
onshore wind farm
micro-location selection
electric lines
road maintenance
design optimization
