太阳能光伏阵列集电网络规划与优化研究

发布时间：2018-05-07 10:04

  本文选题：光伏逆变单元 + 集电网络　； 参考：《太阳能学报》2015年09期

【摘要】：将太阳能光伏阵列中的每组太阳电池、逆变器及升压变构成一个连接单元,影响太阳能光伏阵列集电网络成本的因素包括:连接单元的数量、位置及电压等级、电气设备负载、拓扑接线形式、电缆截面、长度以及电缆沟的布置等。这些变量相互关联又相互制约,使得集电网络优化模型具有多离散变量和强非线性的特点。通过建立光伏阵列集电网络的成本模型,对其拓扑连线进行分层优化,采用聚类算法分区、扇面分割算法分串,采用Prime算法以及多旅行商问题求解不同拓扑的最优结构,最终得到光伏阵列中各离散点的最优路由方案,为光伏阵列集电网络的拓扑优化提供有益参考。
[Abstract]:Each group of solar cells, inverters and voltage boosters in the solar photovoltaic array are formed into a connecting unit. The factors affecting the network cost of the solar photovoltaic array include the number, position and voltage level of the connection unit, and the load of the electrical equipment. Topology, cable section, length and cable trench layout. These variables are related to each other and restrict each other, which makes the optimization model of collector network have the characteristics of multiple discrete variables and strong nonlinearity. By establishing the cost model of PV array collector network, the topology of PV array collector network is optimized by hierarchical optimization, clustering algorithm partition, sector segmentation algorithm, Prime algorithm and multi-traveling salesman problem to solve the optimal structure of different topologies. Finally, the optimal routing scheme of each discrete point in photovoltaic array is obtained, which provides a useful reference for topology optimization of PV array collector network.
【作者单位】： 上海电力学院电气工程学院;
【基金】：国家自然科学基金(51177098) 上海绿色能源并网工程技术研究中心(13DZ2251900) 上海市重点支撑攻关计划(13160500800)
【分类号】：TM615
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本文编号：1856493