Virtual power plant energy optimisation in smart grids

Oliver Dzobo

doi:10.1109/RoboMech.2019.8704830

Virtual power plant energy optimisation in smart grids

Oliver Dzobo

Electrical and Electronic Engineering Science

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

11 Citations (Scopus)

Abstract

The growing number of distributed renewable energy sources connected to the grid has brought some challenges to the management of the power system network. New optimisation models are required to manage these distributed generation units when they are clustered together. In this case, virtual power plants (VPPs) plays an important role by ensuring that the value of the produced power by clusters of distributed power generation units is efficiently managed. In this paper, an optimisation model based on mixed integer programming technique for the management of clusters of distributed generation units consisting of local heat and power supply system with CHPs, solar photovoltaic systems and thermal power generation units is presented. The proposed algorithm ensures maximum benefit of thermal and electric energy in the power system network. The results show that there is a 10% increase in benefit when virtual power plants are used and optimised.

Original language	English
Title of host publication	Proceedings - 2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa, SAUPEC/RobMech/PRASA 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	714-718
Number of pages	5
ISBN (Electronic)	9781728103693
DOIs	https://doi.org/10.1109/RoboMech.2019.8704830
Publication status	Published - 1 May 2019
Event	2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa, SAUPEC/RobMech/PRASA 2019 - Bloemfontein, South Africa Duration: 28 Jan 2019 → 30 Jan 2019

Publication series

Name	Proceedings - 2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa, SAUPEC/RobMech/PRASA 2019

Conference

Conference	2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa, SAUPEC/RobMech/PRASA 2019
Country/Territory	South Africa
City	Bloemfontein
Period	28/01/19 → 30/01/19

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

load demand
optimisation
solar photovoltaic
virtual power plants

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Energy Engineering and Power Technology
Mechanical Engineering
Artificial Intelligence

Access to Document

10.1109/RoboMech.2019.8704830

Cite this

Dzobo, O. (2019). Virtual power plant energy optimisation in smart grids. In Proceedings - 2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa, SAUPEC/RobMech/PRASA 2019 (pp. 714-718). Article 8704830 (Proceedings - 2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa, SAUPEC/RobMech/PRASA 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RoboMech.2019.8704830

Dzobo, Oliver. / Virtual power plant energy optimisation in smart grids. Proceedings - 2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa, SAUPEC/RobMech/PRASA 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 714-718 (Proceedings - 2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa, SAUPEC/RobMech/PRASA 2019).

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abstract = "The growing number of distributed renewable energy sources connected to the grid has brought some challenges to the management of the power system network. New optimisation models are required to manage these distributed generation units when they are clustered together. In this case, virtual power plants (VPPs) plays an important role by ensuring that the value of the produced power by clusters of distributed power generation units is efficiently managed. In this paper, an optimisation model based on mixed integer programming technique for the management of clusters of distributed generation units consisting of local heat and power supply system with CHPs, solar photovoltaic systems and thermal power generation units is presented. The proposed algorithm ensures maximum benefit of thermal and electric energy in the power system network. The results show that there is a 10\% increase in benefit when virtual power plants are used and optimised.",

keywords = "load demand, optimisation, solar photovoltaic, virtual power plants",

author = "Oliver Dzobo",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa, SAUPEC/RobMech/PRASA 2019 ; Conference date: 28-01-2019 Through 30-01-2019",

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Dzobo, O 2019, Virtual power plant energy optimisation in smart grids. in Proceedings - 2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa, SAUPEC/RobMech/PRASA 2019., 8704830, Proceedings - 2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa, SAUPEC/RobMech/PRASA 2019, Institute of Electrical and Electronics Engineers Inc., pp. 714-718, 2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa, SAUPEC/RobMech/PRASA 2019, Bloemfontein, South Africa, 28/01/19. https://doi.org/10.1109/RoboMech.2019.8704830

Virtual power plant energy optimisation in smart grids. / Dzobo, Oliver.
Proceedings - 2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa, SAUPEC/RobMech/PRASA 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 714-718 8704830 (Proceedings - 2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa, SAUPEC/RobMech/PRASA 2019).

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

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AU - Dzobo, Oliver

PY - 2019/5/1

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AB - The growing number of distributed renewable energy sources connected to the grid has brought some challenges to the management of the power system network. New optimisation models are required to manage these distributed generation units when they are clustered together. In this case, virtual power plants (VPPs) plays an important role by ensuring that the value of the produced power by clusters of distributed power generation units is efficiently managed. In this paper, an optimisation model based on mixed integer programming technique for the management of clusters of distributed generation units consisting of local heat and power supply system with CHPs, solar photovoltaic systems and thermal power generation units is presented. The proposed algorithm ensures maximum benefit of thermal and electric energy in the power system network. The results show that there is a 10% increase in benefit when virtual power plants are used and optimised.

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KW - solar photovoltaic

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ER -

Dzobo O. Virtual power plant energy optimisation in smart grids. In Proceedings - 2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa, SAUPEC/RobMech/PRASA 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 714-718. 8704830. (Proceedings - 2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa, SAUPEC/RobMech/PRASA 2019). doi: 10.1109/RoboMech.2019.8704830

Virtual power plant energy optimisation in smart grids

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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