Connection topology optimization in photovoltaic arrays using neural networks

Vivek Sivaraman Narayanaswamy; Raja Ayyanar; Andreas Spanias; Cihan Tepedelenlioglu; Devarajan Srinivasan

doi:10.1109/ICPHYS.2019.8780242

Connection topology optimization in photovoltaic arrays using neural networks

Vivek Sivaraman Narayanaswamy, Raja Ayyanar, Andreas Spanias, Cihan Tepedelenlioglu, Devarajan Srinivasan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

21 Scopus citations

Abstract

A cyber-physical system (CPS) approach for optimizing the output power of photovoltaic (PV) energy systems is proposed. In particular, a novel connection topology reconfiguration strategy for PV arrays to maximize power output under partial shading conditions using neural networks is put forth. Depending upon an irradiance/shading profile of the panels, topologies, namely series parallel (SP), total cross tied (TCT) or bridge link (BL) produce different maximum power points (MPP). The connection topology of the PV array that provides the maximum power output is chosen using a multi-layer perceptron. The simulation results show that empirically an output power increase of 12% can be achieved through reconfiguration. The method proposed can be implemented in any CPS PV system with switching capabilities and is simple to implement.

Original language	English (US)
Title of host publication	Proceedings - 2019 IEEE International Conference on Industrial Cyber Physical Systems, ICPS 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	167-172
Number of pages	6
ISBN (Electronic)	9781538685006
DOIs	https://doi.org/10.1109/ICPHYS.2019.8780242
State	Published - May 2019
Event	2019 IEEE International Conference on Industrial Cyber Physical Systems, ICPS 2019 - Taipei, Taiwan, Province of China Duration: May 6 2019 → May 9 2019

Publication series

Name	Proceedings - 2019 IEEE International Conference on Industrial Cyber Physical Systems, ICPS 2019

Conference

Conference	2019 IEEE International Conference on Industrial Cyber Physical Systems, ICPS 2019
Country/Territory	Taiwan, Province of China
City	Taipei
Period	5/6/19 → 5/9/19

Keywords

CPS
IoT energy systems
Photovoltaic Array (PV)
machine learning
neural networks
partial shading

ASJC Scopus subject areas

Hardware and Architecture
Industrial and Manufacturing Engineering
Information Systems and Management
Computer Networks and Communications
Safety, Risk, Reliability and Quality

Access to Document

10.1109/ICPHYS.2019.8780242

Cite this

Narayanaswamy, V. S., Ayyanar, R., Spanias, A., Tepedelenlioglu, C., & Srinivasan, D. (2019). Connection topology optimization in photovoltaic arrays using neural networks. In Proceedings - 2019 IEEE International Conference on Industrial Cyber Physical Systems, ICPS 2019 (pp. 167-172). Article 8780242 (Proceedings - 2019 IEEE International Conference on Industrial Cyber Physical Systems, ICPS 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPHYS.2019.8780242

Connection topology optimization in photovoltaic arrays using neural networks. / Narayanaswamy, Vivek Sivaraman; Ayyanar, Raja ; Spanias, Andreas et al.
Proceedings - 2019 IEEE International Conference on Industrial Cyber Physical Systems, ICPS 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 167-172 8780242 (Proceedings - 2019 IEEE International Conference on Industrial Cyber Physical Systems, ICPS 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Narayanaswamy, VS, Ayyanar, R , Spanias, A , Tepedelenlioglu, C & Srinivasan, D 2019, Connection topology optimization in photovoltaic arrays using neural networks. in Proceedings - 2019 IEEE International Conference on Industrial Cyber Physical Systems, ICPS 2019., 8780242, Proceedings - 2019 IEEE International Conference on Industrial Cyber Physical Systems, ICPS 2019, Institute of Electrical and Electronics Engineers Inc., pp. 167-172, 2019 IEEE International Conference on Industrial Cyber Physical Systems, ICPS 2019, Taipei, Taiwan, Province of China, 5/6/19. https://doi.org/10.1109/ICPHYS.2019.8780242

Narayanaswamy VS, Ayyanar R , Spanias A , Tepedelenlioglu C, Srinivasan D. Connection topology optimization in photovoltaic arrays using neural networks. In Proceedings - 2019 IEEE International Conference on Industrial Cyber Physical Systems, ICPS 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 167-172. 8780242. (Proceedings - 2019 IEEE International Conference on Industrial Cyber Physical Systems, ICPS 2019). doi: 10.1109/ICPHYS.2019.8780242

Narayanaswamy, Vivek Sivaraman ; Ayyanar, Raja ; Spanias, Andreas et al. / Connection topology optimization in photovoltaic arrays using neural networks. Proceedings - 2019 IEEE International Conference on Industrial Cyber Physical Systems, ICPS 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 167-172 (Proceedings - 2019 IEEE International Conference on Industrial Cyber Physical Systems, ICPS 2019).

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title = "Connection topology optimization in photovoltaic arrays using neural networks",

abstract = "A cyber-physical system (CPS) approach for optimizing the output power of photovoltaic (PV) energy systems is proposed. In particular, a novel connection topology reconfiguration strategy for PV arrays to maximize power output under partial shading conditions using neural networks is put forth. Depending upon an irradiance/shading profile of the panels, topologies, namely series parallel (SP), total cross tied (TCT) or bridge link (BL) produce different maximum power points (MPP). The connection topology of the PV array that provides the maximum power output is chosen using a multi-layer perceptron. The simulation results show that empirically an output power increase of 12% can be achieved through reconfiguration. The method proposed can be implemented in any CPS PV system with switching capabilities and is simple to implement.",

keywords = "CPS, IoT energy systems, Photovoltaic Array (PV), machine learning, neural networks, partial shading",

author = "Narayanaswamy, {Vivek Sivaraman} and Raja Ayyanar and Andreas Spanias and Cihan Tepedelenlioglu and Devarajan Srinivasan",

note = "Funding Information: ACKNOWLEDGEMENT The work is supported in part by the NSF CPS #1646542 award and by the ASU SenSIP Center. Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Industrial Cyber Physical Systems, ICPS 2019 ; Conference date: 06-05-2019 Through 09-05-2019",

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AU - Srinivasan, Devarajan

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N2 - A cyber-physical system (CPS) approach for optimizing the output power of photovoltaic (PV) energy systems is proposed. In particular, a novel connection topology reconfiguration strategy for PV arrays to maximize power output under partial shading conditions using neural networks is put forth. Depending upon an irradiance/shading profile of the panels, topologies, namely series parallel (SP), total cross tied (TCT) or bridge link (BL) produce different maximum power points (MPP). The connection topology of the PV array that provides the maximum power output is chosen using a multi-layer perceptron. The simulation results show that empirically an output power increase of 12% can be achieved through reconfiguration. The method proposed can be implemented in any CPS PV system with switching capabilities and is simple to implement.

AB - A cyber-physical system (CPS) approach for optimizing the output power of photovoltaic (PV) energy systems is proposed. In particular, a novel connection topology reconfiguration strategy for PV arrays to maximize power output under partial shading conditions using neural networks is put forth. Depending upon an irradiance/shading profile of the panels, topologies, namely series parallel (SP), total cross tied (TCT) or bridge link (BL) produce different maximum power points (MPP). The connection topology of the PV array that provides the maximum power output is chosen using a multi-layer perceptron. The simulation results show that empirically an output power increase of 12% can be achieved through reconfiguration. The method proposed can be implemented in any CPS PV system with switching capabilities and is simple to implement.

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Connection topology optimization in photovoltaic arrays using neural networks

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Keywords

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