本文選題：光伏逆變單元 + 集電網(wǎng)絡(luò)�。� 參考：《太陽(yáng)能學(xué)報(bào)》2015年09期

【摘要】：將太陽(yáng)能光伏陣列中的每組太陽(yáng)電池、逆變器及升壓變構(gòu)成一個(gè)連接單元,影響太陽(yáng)能光伏陣列集電網(wǎng)絡(luò)成本的因素包括:連接單元的數(shù)量、位置及電壓等級(jí)、電氣設(shè)備負(fù)載、拓?fù)浣泳€形式、電纜截面、長(zhǎng)度以及電纜溝的布置等。這些變量相互關(guān)聯(lián)又相互制約,使得集電網(wǎng)絡(luò)優(yōu)化模型具有多離散變量和強(qiáng)非線性的特點(diǎn)。通過(guò)建立光伏陣列集電網(wǎng)絡(luò)的成本模型,對(duì)其拓?fù)溥B線進(jìn)行分層優(yōu)化,采用聚類算法分區(qū)、扇面分割算法分串,采用Prime算法以及多旅行商問(wèn)題求解不同拓?fù)涞淖顑?yōu)結(jié)構(gòu),最終得到光伏陣列中各離散點(diǎn)的最優(yōu)路由方案,為光伏陣列集電網(wǎng)絡(luò)的拓?fù)鋬?yōu)化提供有益參考。
[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.
【作者單位】： 上海電力學(xué)院電氣工程學(xué)院;
【基金】：國(guó)家自然科學(xué)基金(51177098) 上海綠色能源并網(wǎng)工程技術(shù)研究中心(13DZ2251900) 上海市重點(diǎn)支撐攻關(guān)計(jì)劃(13160500800)
【分類號(hào)】：TM615
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本文編號(hào)：1856493