南京大学学报(自然科学版) ›› 2016, Vol. 52 ›› Issue (2): 398–.

• • 上一篇    

多逆变器光伏发电网络群控策略及实现方法

胡克用1，2*，胥　芳1，艾青林1，徐红伟1，欧阳静1   

  • 出版日期:2016-03-27 发布日期:2016-03-27
  • 作者简介: 1.浙江工业大学特种装备制造与先进加工技术教育部/浙江省重点实验室，杭州，310014；2．杭州师范大学钱江学院，杭州，310036
  • 基金资助:
    基金项目：国家“863计划”资助课题(2013AA050405)，国家自然科学基金(51275470)，浙江省教育厅科研项目(Y201533652)，浙江省自然科学基金(LY12E07004)，国际科技合作项目(2014FDE60020，2014DFA70980，S2013ZR0609)
    收稿日期：2014－10－29
    *通讯联系人，E­mail：hukeyong@yeah.net

Group control strategy and realization method of multi­inverter for photovoltaic power generation network

Hu Keyong1，2*，Xu Fang1，Ai Qinglin1，Xu Hongwei1，Ouyang Jing1   

  • Online:2016-03-27 Published:2016-03-27
  • About author: 1.Key Laboratory of Special Purpose Equipment and Advanced Manufacturing Technology，Ministry of Education & Zhejiang Province，Zhejiang University of Technology，Hangzhou，310014，China；2．Qianjiang College，Hangzhou Normal University，Hangzhou，310036，China

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摘要： 针对自然环境中阴雨天会大大降低光伏面板的发电量，使得光伏阵列的输出功率与逆变器额定功率无法匹配，从而引起光伏发电系统总功率大幅下降的问题，采用分布式光伏阵列及逆变器的群控方法，通过开关矩阵将光伏阵列与逆变器相连，形成分布式光伏阵列及逆变器拓扑网络结构，并详细阐述了该拓扑网络结构的工作原理与工作机制．研究了该网络的群控系统，并提出相应的自适应聚类算法，实现多逆变器光伏发电网络的群控管理．最后对整个网络结构系统进行了仿真分析及试验验证，结果表明，在不利于光伏发电的恶劣天气条件中，该控制策略可对不同逆变器的输入功率进行优化匹配，从而提高整个光伏发电系统的发电效率．

Abstract: The power generation of photovoltaic panels is greatly reduced during the cloudy and rainy days in natural environment，the output power of PV array and the rated power of inverter can not be matched，and it will cause the total power of photovoltaic system decrease sharply.This thesis adopted distributed photovoltaic array and group control method of the inverters.The photovoltaic array and the inverters were connected by the switch matrix，and formed a distributed topology network structure of photovoltaic array and inverters.While，it described the working principle and working mechanism of the network topology structure.At the same time it analyzed the constraint conditions of electrical parameters from the point of mathematics.Study on the group control of the network，in order to cope with such topology，it put forward the corresponding adaptive clustering algorithm to realize the switching control of matrix and optimize the structure of PV array，thus fulfill the group control management of multi­inverters photovoltaic power network.The whole network structure of the system was validated by the simulation and experiment；the results show that，under bad weather conditions for photovoltaic power generation，the control strategy can be optimized matching by the different input power，so as to improve the power generation efficiency of the photovoltaic power generation system.

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