首页|山区风电场道路及集电线路协同优化设计

山区风电场道路及集电线路协同优化设计

Collaborative optimization design of roads and collecting lines in mountain wind farm

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以某山区风电场为研究对象,基于最短路径Dijkstra算法,以风电场场内新建道路路径和电缆长度最短为优化目标,建立了满足山区风电场的道路纵坡坡度、最小转弯半径、敏感区、边界、桩距等约束条件的选线算法,该算法的特点一是采用规则三角网格和对角距启发式函数来搜寻六个方向,满足最小转弯半径的要求,大大提高了算法便捷性.二是算法分两步进行,第一步针对主线道路服务,仅输入需要优化的道路的起止点,即可获得两点的最短路径;第二步针对支线道路服务,以第一步得到的主线道路为已有道路,只需要输入支线道路抹点(机位点坐标)坐标,即可自动寻索到该点距离主线道路的最短路径.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.
Taking a mountainous wind farm as the research object,based on the shortest path Dijkstra algorithm,with the shortest new road path and cable length in the wind farm field as the optimization goal,a route selection algorithm is established to meet the constraints of road longitudinal slope gradient,minimum turning radius,sensitive area,boundary and pile distance.The algorithm has the following characteristics.First,the regular triangular grid and the diagonal distance heuristic function are used to search six directions to meet the requirements of the minimum turning radius,which greatly improves the convenience of the algorithm.Secondly,the algorithm is divided into two steps.The first step is for the main road service,and the shortest path of the two points can be obtained when the start and end points of the road to be optimized are input.The second step is for the feeder road service.With the main road from the first step as the existing road,the shortest path of the distance from the main road to the end point can be obtained automatically when the coordinates of the feeder road end point(coordinates of tower locations)are input.The research results of this paper can provide important process guidance for the preliminary work of actual wind farm construction.

mountain wind farmroad and power collection lineoptimization design

马俊祥、赵振宙、玛尔瓦提·黑扎提、郑康乐、张爽、吴昊、张克凡

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河海大学 新能源学院,南京 211100

华能国际电力股份有限公司河南清洁能源分公司,郑州 450000

中电建重庆勘测设计研究院有限公司,重庆 401120

华能临河热电厂,内蒙古 巴彦淖尔 015000

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山区风电场 道路及集电线路 优化设计

国家自然科学基金国家自然科学基金

5237617951876054

2024

内蒙古工业大学学报(自然科学版)
内蒙古工业大学

内蒙古工业大学学报(自然科学版)

影响因子:0.176
ISSN:1001-5167
年,卷(期):2024.43(1)
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