Minimum-power-tracking for PV-PV differential power processing systems

Zhaoyang Ye; Huiqing Wen; Guanying Chu; Xingshuo Li

doi:10.1109/DISTRA.2017.8191150

Minimum-power-tracking for PV-PV differential power processing systems

Zhaoyang Ye
, Huiqing Wen
, Guanying Chu
, Xingshuo Li

Xi'an Jiaotong-Liverpool University

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

13 Citations (Scopus)

Abstract

Differential power processing (DPP) structure present obvious advantages in improving the energy output and overall efficiency of aphotovoltaic system under the partial shading conditions. This paper presents a novel minimum-power tracking (MPT) algorithm for the two-stage PV-PV DPP structure, where each PV is implemented with the maximum power point tracking (MPPT) control while the central control is control by the MPT. Considering that the string current determines the power processed through the DPP converters, the DPP converters are specially designed to process minimal power in order to achieve higher efficiency. A simulated model using PSIM shows clearly that this system has the tendency to improve power extraction and could work perfectly under various conditions.

Original language	English
Title of host publication	2017 6th International Conference on Renewable Energy Research and Applications, ICRERA 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	696-700
Number of pages	5
ISBN (Electronic)	9781538620953
DOIs	https://doi.org/10.1109/DISTRA.2017.8191150
Publication status	Published - 12 Dec 2017
Event	6th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2017 - San Diego, United States Duration: 5 Nov 2017 → 8 Nov 2017

Publication series

Name	2017 6th International Conference on Renewable Energy Research and Applications, ICRERA 2017
Volume	2017-January

Conference

Conference	6th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2017
Country/Territory	United States
City	San Diego
Period	5/11/17 → 8/11/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Differential power processing (DPP)
Minimum power tracking;
PV system
PV-PV architecture

Access to Document

10.1109/DISTRA.2017.8191150

Cite this

Ye, Z., Wen, H., Chu, G., & Li, X. (2017). Minimum-power-tracking for PV-PV differential power processing systems. In 2017 6th International Conference on Renewable Energy Research and Applications, ICRERA 2017 (pp. 696-700). (2017 6th International Conference on Renewable Energy Research and Applications, ICRERA 2017; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DISTRA.2017.8191150

Ye, Zhaoyang ; Wen, Huiqing ; Chu, Guanying et al. / Minimum-power-tracking for PV-PV differential power processing systems. 2017 6th International Conference on Renewable Energy Research and Applications, ICRERA 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 696-700 (2017 6th International Conference on Renewable Energy Research and Applications, ICRERA 2017).

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title = "Minimum-power-tracking for PV-PV differential power processing systems",

abstract = "Differential power processing (DPP) structure present obvious advantages in improving the energy output and overall efficiency of aphotovoltaic system under the partial shading conditions. This paper presents a novel minimum-power tracking (MPT) algorithm for the two-stage PV-PV DPP structure, where each PV is implemented with the maximum power point tracking (MPPT) control while the central control is control by the MPT. Considering that the string current determines the power processed through the DPP converters, the DPP converters are specially designed to process minimal power in order to achieve higher efficiency. A simulated model using PSIM shows clearly that this system has the tendency to improve power extraction and could work perfectly under various conditions.",

keywords = "Differential power processing (DPP), Minimum power tracking;, PV system, PV-PV architecture",

author = "Zhaoyang Ye and Huiqing Wen and Guanying Chu and Xingshuo Li",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 6th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2017 ; Conference date: 05-11-2017 Through 08-11-2017",

year = "2017",

month = dec,

day = "12",

doi = "10.1109/DISTRA.2017.8191150",

language = "English",

series = "2017 6th International Conference on Renewable Energy Research and Applications, ICRERA 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Ye, Z, Wen, H , Chu, G & Li, X 2017, Minimum-power-tracking for PV-PV differential power processing systems. in 2017 6th International Conference on Renewable Energy Research and Applications, ICRERA 2017. 2017 6th International Conference on Renewable Energy Research and Applications, ICRERA 2017, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 696-700, 6th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2017, San Diego, United States, 5/11/17. https://doi.org/10.1109/DISTRA.2017.8191150

Minimum-power-tracking for PV-PV differential power processing systems. / Ye, Zhaoyang; Wen, Huiqing ; Chu, Guanying et al.
2017 6th International Conference on Renewable Energy Research and Applications, ICRERA 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 696-700 (2017 6th International Conference on Renewable Energy Research and Applications, ICRERA 2017; Vol. 2017-January).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - Minimum-power-tracking for PV-PV differential power processing systems

AU - Ye, Zhaoyang

AU - Wen, Huiqing

AU - Chu, Guanying

AU - Li, Xingshuo

PY - 2017/12/12

Y1 - 2017/12/12

N2 - Differential power processing (DPP) structure present obvious advantages in improving the energy output and overall efficiency of aphotovoltaic system under the partial shading conditions. This paper presents a novel minimum-power tracking (MPT) algorithm for the two-stage PV-PV DPP structure, where each PV is implemented with the maximum power point tracking (MPPT) control while the central control is control by the MPT. Considering that the string current determines the power processed through the DPP converters, the DPP converters are specially designed to process minimal power in order to achieve higher efficiency. A simulated model using PSIM shows clearly that this system has the tendency to improve power extraction and could work perfectly under various conditions.

AB - Differential power processing (DPP) structure present obvious advantages in improving the energy output and overall efficiency of aphotovoltaic system under the partial shading conditions. This paper presents a novel minimum-power tracking (MPT) algorithm for the two-stage PV-PV DPP structure, where each PV is implemented with the maximum power point tracking (MPPT) control while the central control is control by the MPT. Considering that the string current determines the power processed through the DPP converters, the DPP converters are specially designed to process minimal power in order to achieve higher efficiency. A simulated model using PSIM shows clearly that this system has the tendency to improve power extraction and could work perfectly under various conditions.

KW - Differential power processing (DPP)

KW - Minimum power tracking;

KW - PV system

KW - PV-PV architecture

UR - https://www.scopus.com/pages/publications/85042698802

U2 - 10.1109/DISTRA.2017.8191150

DO - 10.1109/DISTRA.2017.8191150

M3 - Conference Proceeding

AN - SCOPUS:85042698802

T3 - 2017 6th International Conference on Renewable Energy Research and Applications, ICRERA 2017

SP - 696

EP - 700

BT - 2017 6th International Conference on Renewable Energy Research and Applications, ICRERA 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2017

Y2 - 5 November 2017 through 8 November 2017

ER -

Ye Z, Wen H , Chu G, Li X. Minimum-power-tracking for PV-PV differential power processing systems. In 2017 6th International Conference on Renewable Energy Research and Applications, ICRERA 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 696-700. (2017 6th International Conference on Renewable Energy Research and Applications, ICRERA 2017). doi: 10.1109/DISTRA.2017.8191150

Minimum-power-tracking for PV-PV differential power processing systems

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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