Application of AI for frequency normalization of solar PV-thermal electrical power system

Milton Estrice; Gulshan Sharma; Kayode Akindeji; Innocent E. Davidson

doi:10.1109/icABCD49160.2020.9183885

Application of AI for frequency normalization of solar PV-thermal electrical power system

Milton Estrice, Gulshan Sharma, Kayode Akindeji, Innocent E. Davidson

Durban University of Technology

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

3 Citations (Scopus)

Abstract

Grid-connected solar-PV schemes have become a significant part of the energy balance in the power system to satisfy the growing request for clean, affordable energy. This study attempts to link solar-PV generation with conventional thermal power plants and to integrate the control zone resulting in a hybrid solar PV-thermal electric power system using an AC tie line. An analysis of the frequency dynamics for varying load conditions of the interconnected system is studied. Diverse approaches of proportional, integral, and proportional-integral fuzzy logic built controllers are design and tested in order to match the electric power with variable loads of the system and hence to normalize the frequency ofthe system in shortest possible time. A comparative analysis of the design topologies is conducted out for the PV-Thermal scheme. Results obtain from the implementation are shown to justify the performance of proposed control efforts, using MATLAB software tool.

Original language	English
Title of host publication	2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 - Proceedings
Editors	Sameerchand Pudaruth, Upasana Singh
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728167701
DOIs	https://doi.org/10.1109/icABCD49160.2020.9183885
Publication status	Published - Aug 2020
Externally published	Yes
Event	2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 - Durban, KwaZulu Natal, South Africa Duration: 6 Aug 2020 → 7 Aug 2020

Publication series

Name	2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 - Proceedings

Conference

Conference	2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020
Country/Territory	South Africa
City	Durban, KwaZulu Natal
Period	6/08/20 → 7/08/20

Keywords

FLPI control
Frequency dynamics
Integral
Proportional
Solar PV-Thermal electrical power system

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Computer Vision and Pattern Recognition
Hardware and Architecture
Information Systems and Management

UN SDGs

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

Access to Document

10.1109/icABCD49160.2020.9183885

Cite this

Estrice, M., Sharma, G., Akindeji, K., & Davidson, I. E. (2020). Application of AI for frequency normalization of solar PV-thermal electrical power system. In S. Pudaruth, & U. Singh (Eds.), 2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 - Proceedings Article 9183885 (2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/icABCD49160.2020.9183885

Estrice, Milton ; Sharma, Gulshan ; Akindeji, Kayode et al. / Application of AI for frequency normalization of solar PV-thermal electrical power system. 2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 - Proceedings. editor / Sameerchand Pudaruth ; Upasana Singh. Institute of Electrical and Electronics Engineers Inc., 2020. (2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 - Proceedings).

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title = "Application of AI for frequency normalization of solar PV-thermal electrical power system",

abstract = "Grid-connected solar-PV schemes have become a significant part of the energy balance in the power system to satisfy the growing request for clean, affordable energy. This study attempts to link solar-PV generation with conventional thermal power plants and to integrate the control zone resulting in a hybrid solar PV-thermal electric power system using an AC tie line. An analysis of the frequency dynamics for varying load conditions of the interconnected system is studied. Diverse approaches of proportional, integral, and proportional-integral fuzzy logic built controllers are design and tested in order to match the electric power with variable loads of the system and hence to normalize the frequency ofthe system in shortest possible time. A comparative analysis of the design topologies is conducted out for the PV-Thermal scheme. Results obtain from the implementation are shown to justify the performance of proposed control efforts, using MATLAB software tool.",

keywords = "FLPI control, Frequency dynamics, Integral, Proportional, Solar PV-Thermal electrical power system",

author = "Milton Estrice and Gulshan Sharma and Kayode Akindeji and Davidson, {Innocent E.}",

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year = "2020",

month = aug,

doi = "10.1109/icABCD49160.2020.9183885",

language = "English",

series = "2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 - Proceedings",

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Estrice, M, Sharma, G, Akindeji, K & Davidson, IE 2020, Application of AI for frequency normalization of solar PV-thermal electrical power system. in S Pudaruth & U Singh (eds), 2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 - Proceedings., 9183885, 2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020, Durban, KwaZulu Natal, South Africa, 6/08/20. https://doi.org/10.1109/icABCD49160.2020.9183885

Application of AI for frequency normalization of solar PV-thermal electrical power system. / Estrice, Milton; Sharma, Gulshan; Akindeji, Kayode et al.
2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 - Proceedings. ed. / Sameerchand Pudaruth; Upasana Singh. Institute of Electrical and Electronics Engineers Inc., 2020. 9183885 (2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 - Proceedings).

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

TY - GEN

T1 - Application of AI for frequency normalization of solar PV-thermal electrical power system

AU - Estrice, Milton

AU - Sharma, Gulshan

AU - Akindeji, Kayode

AU - Davidson, Innocent E.

PY - 2020/8

Y1 - 2020/8

N2 - Grid-connected solar-PV schemes have become a significant part of the energy balance in the power system to satisfy the growing request for clean, affordable energy. This study attempts to link solar-PV generation with conventional thermal power plants and to integrate the control zone resulting in a hybrid solar PV-thermal electric power system using an AC tie line. An analysis of the frequency dynamics for varying load conditions of the interconnected system is studied. Diverse approaches of proportional, integral, and proportional-integral fuzzy logic built controllers are design and tested in order to match the electric power with variable loads of the system and hence to normalize the frequency ofthe system in shortest possible time. A comparative analysis of the design topologies is conducted out for the PV-Thermal scheme. Results obtain from the implementation are shown to justify the performance of proposed control efforts, using MATLAB software tool.

AB - Grid-connected solar-PV schemes have become a significant part of the energy balance in the power system to satisfy the growing request for clean, affordable energy. This study attempts to link solar-PV generation with conventional thermal power plants and to integrate the control zone resulting in a hybrid solar PV-thermal electric power system using an AC tie line. An analysis of the frequency dynamics for varying load conditions of the interconnected system is studied. Diverse approaches of proportional, integral, and proportional-integral fuzzy logic built controllers are design and tested in order to match the electric power with variable loads of the system and hence to normalize the frequency ofthe system in shortest possible time. A comparative analysis of the design topologies is conducted out for the PV-Thermal scheme. Results obtain from the implementation are shown to justify the performance of proposed control efforts, using MATLAB software tool.

KW - FLPI control

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KW - Integral

KW - Proportional

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M3 - Conference contribution

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BT - 2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 - Proceedings

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PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 6 August 2020 through 7 August 2020

ER -

Estrice M, Sharma G, Akindeji K, Davidson IE. Application of AI for frequency normalization of solar PV-thermal electrical power system. In Pudaruth S, Singh U, editors, 2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2020. 9183885. (2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 - Proceedings). doi: 10.1109/icABCD49160.2020.9183885

Application of AI for frequency normalization of solar PV-thermal electrical power system

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

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