Power generation maximization of distributed photovoltaic systems using dynamic topology reconfiguration

Xiaolun Fang; Qiang Yang; Wenjun Yan

doi:10.1186/s41601-022-00254-x

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Power generation maximization of distributed photovoltaic systems using dynamic topology reconfiguration

Original Research | 更新时间：2026-09-30

- Power generation maximization of distributed photovoltaic systems using dynamic topology reconfiguration
- Protection and Control of Modern Power Systems Vol. 7, Issue 3, Pages: 1-15(2022)
- 作者机构：
  
  1. College of Electrical Engineering, Zhejiang University,Hangzhou,China
  2. Hangzhou,Zhejiang,Lab,China
- 作者简介：
- 基金信息：
- DOI：10.1186/s41601-022-00254-x
  CLC：
- Published：01 July 2022
- 稿件说明：
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Xiaolun Fang, Qiang Yang, Wenjun Yan. Power generation maximization of distributed photovoltaic systems using dynamic topology reconfiguration[J]. Protection and Control of Modern Power Systems, 2022, 7(3): 1-15.
DOI：

Xiaolun Fang, Qiang Yang, Wenjun Yan. Power generation maximization of distributed photovoltaic systems using dynamic topology reconfiguration[J]. Protection and Control of Modern Power Systems, 2022, 7(3): 1-15. DOI： 10.1186/s41601-022-00254-x.

摘要

The ‘mismatch losses’ problem is commonly encountered in distributed photovoltaic (PV) power generation systems. It can directly reduce power generation. Hence

PV array reconfiguration techniques have become highly popular to minimize the mismatch losses. In this paper

a dynamical array reconfiguration method for Total-Cross-Ties (TCT) and Series-Parallel (SP) interconnected PV arrays is proposed. The method aims to improve the maximum power output generation of a distributed PV array in different mismatch conditions through a set of inverters and a switching matrix that is controlled by a dynamic and scalable reconfiguration optimization algorithm. The structures of the switching matrix for both TCT-based and SP-based PV arrays are designed to enable flexible alteration of the electrical connections between PV strings and inverters. Also

the proposed reconfiguration solution is scalable

because the size of the switching matrix deployed in the proposed solution is only determined by the numbers of the PV strings and the inverters

and is not related to the number of PV modules in a string. The performance of the proposed method is assessed for PV arrays with both TCT and SP interconnections in different mismatch conditions

including different partial shading and random PV module failure. The average optimization time for TCT and SP interconnected PV arrays is 0.02 and 3 s

respectively. The effectiveness of the proposed dynamical reconfiguration is confirmed

with the average maximum power generation improved by 8.56% for the TCT-based PV array and 6.43% for the SP-based PV array compared to a fixed topology scheme.

Abstract

The ‘mismatch losses’ problem is commonly encountered in distributed photovoltaic (PV) power generation systems. It can directly reduce power generation. Hence

PV array reconfiguration techniques have become highly popular to minimize the mismatch losses. In this paper

a dynamical array reconfiguration method for Total-Cross-Ties (TCT) and Series–Parallel (SP) interconnected PV arrays is proposed. The method aims to improve the maximum power output generation of a distributed PV array in different mismatch conditions through a set of inverters and a switching matrix that is controlled by a dynamic and scalable reconfiguration optimization algorithm. The structures of the switching matrix for both TCT-based and SP-based PV arrays are designed to enable flexible alteration of the electrical connections between PV strings and inverters. Also

the proposed reconfiguration solution is scalable

because the size of the switching matrix deployed in the proposed solution is only determined by the numbers of the PV strings and the inverters

and is not related to the number of PV modules in a string. The performance of the proposed method is assessed for PV arrays with both TCT and SP interconnections in different mismatch conditions

including different partial shading and random PV module failure. The average optimization time for TCT and SP interconnected PV arrays is 0.02 and 3 s

respectively. The effectiveness of the proposed dynamical reconfiguration is confirmed

with the average maximum power generation improved by 8.56% for the TCT-based PV array and 6.43% for the SP-based PV array compared to a fixed topology scheme.

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