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author:

Niu, Geng (Niu, Geng.) [1] | Kou, Lingfeng (Kou, Lingfeng.) [2] | Ji, Yu (Ji, Yu.) [3] | Qu, Xiaoyun (Qu, Xiaoyun.) [4] | Hou, Xiaogang (Hou, Xiaogang.) [5] | Sun, Shumin (Sun, Shumin.) [6] | Yu, Peng (Yu, Peng.) [7] | Zheng, Feng (Zheng, Feng.) [8] (Scholars:郑峰) | Li, Yijin (Li, Yijin.) [9]

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EI Scopus

Abstract:

In order to solve the problem of excess power consuming of the regional PV system, a novel environmental adaptive PV system control strategy is proposed in this paper. The PV array uses a distributed connection structure with distributed pre-optimizers. Based on the construction structure and a proposed environmental adaptive algorithm, the global maximum power point tracking of the PV array under different environment conditions can be realized. By utilizing a group management based PV control strategy, the PV arrays in the PV system can be divided into several groups according to different light intensity, and the output power of the PV system can be control and managed by group. The theoretical and simulation analysis proves that the control strategy proposed in this paper can not only realize the GMPPT of the PV array with or without shading, but also can manage the regional PV system in groups according to the light intensity. By implementing the proposed strategy, the output power of the PV system can quickly follow the power demand of the distribution network, and achieve the flexible consuming of regional excess power output of the PV system. © 2019 IEEE.

Keyword:

Adaptive algorithms Adaptive control systems Electric power system interconnection Electric power transmission networks Global optimization Maximum power point trackers Photovoltaic cells Sustainable development

Community:

  • [ 1 ] [Niu, Geng]China Electric Power Research Institute, Beijing, China
  • [ 2 ] [Kou, Lingfeng]China Electric Power Research Institute, Beijing, China
  • [ 3 ] [Ji, Yu]China Electric Power Research Institute, Beijing, China
  • [ 4 ] [Qu, Xiaoyun]China Electric Power Research Institute, Beijing, China
  • [ 5 ] [Hou, Xiaogang]China Electric Power Research Institute, Beijing, China
  • [ 6 ] [Sun, Shumin]State Grid Shandong Electric Power, Research Institute, Jinan, China
  • [ 7 ] [Yu, Peng]State Grid Shandong Electric Power, Research Institute, Jinan, China
  • [ 8 ] [Zheng, Feng]Fuzhou University, School of Electrical Engineering and Automation, Fuzhou, China
  • [ 9 ] [Li, Yijin]China University of Mining and Technology Beijing(CUMTB), School of Mechanical Electronic and Information Engineering, Beijing, China

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Year: 2019

Page: 734-739

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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