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Operational cost and emissions minimisation of a multi-microgrid system through energy management

Dissertation (MEng (Electrical Engineering))--University of Pretoria, 2019.

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Other Authors: Zhang, Lijun
Format: Thesis
Language:English
Published: University of Pretoria 2024
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access_status_str Open Access
author2 Zhang, Lijun
author_browse Zhang, Lijun
author_facet Zhang, Lijun
collection Thesis
dc_rights_str_mv © 2021 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Dissertation (MEng (Electrical Engineering))--University of Pretoria, 2019.
format Thesis
id oai:repository.up.ac.za:2263/95669
institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:36:40.309Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2024
publishDateRange 2024
publishDateSort 2024
publisher University of Pretoria
publisherStr University of Pretoria
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source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/95669 Operational cost and emissions minimisation of a multi-microgrid system through energy management Zhang, Lijun u12018997@tuks.co.za Ye, Xianming Gildenhuys, Tiaan UCTD Emissions Optimisation Operational Cost Energy Management System Dissertation (MEng (Electrical Engineering))--University of Pretoria, 2019. Existing energy management problems for a multi-microgrid (MMG) system only minimise the operational cost. This study proposes a multi-objective operational cost and emissions minimisation (OCEM) problem for a grid-tied MMG system. The energy management strategy provided by the OCEM problem takes into account the power sharing among all the microgrids (MGs) as well as a price-based demand response programme. The benefits of the OCEM problem are demonstrated by comparing its results with those of a single-objective operational cost minimisation (OCM) problem reported in the literature. These results are obtained by applying both problems to the same MMG case study, which consists of three interconnected MGs and solving these two optimisation problems with a hybrid optimisation algorithm between the genetic algorithm and sequential quadratic programming in MATLAB. When compared to the best solution provided by the OCM problem, the optimal trade-off solution (OTS) provided by the OCEM problem decreases the emissions by 73.07% with a 18.86% increase in the operational cost. The OCEM problem does provide a decision maker with the flexibility to choose the best solution according to the trade-off between the emissions and operational costs, which are competing objectives. The OTS provided by the OCEM problem has several advantages in comparison to the best solution provided by the OCM problem, namely: 1. Increase in the utilisation of the distributed energy resources in particular, the energy generated by the micro-turbines increased by 80.94%. 2. The energy imported from and exported to the main grid decreased by 52.52% and increased by 7.64%, respectively. As a result, the net energy imported from the main grid is negative, which contributes towards emission reduction and main grid support in terms of energy generation. 3. Reduction in the maximum demand of the MMG system from the main grid as the maximum power flow from the main grid to the MMG system decreased by 32.31%. The MMG case study demonstrates the capability of the OCEM problem in designing an energy management strategy, which is cost-effective and minimises the emissions. Electrical, Electronic and Computer Engineering MEng (Electrical Engineering) Unrestricted 2024-04-19T07:40:26Z 2024-04-19T07:40:26Z 2020 2019-12 Dissertation * S2021 http://hdl.handle.net/2263/95669 en © 2021 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
Emissions
Optimisation
Operational Cost
Energy Management System
Operational cost and emissions minimisation of a multi-microgrid system through energy management
title Operational cost and emissions minimisation of a multi-microgrid system through energy management
title_full Operational cost and emissions minimisation of a multi-microgrid system through energy management
title_fullStr Operational cost and emissions minimisation of a multi-microgrid system through energy management
title_full_unstemmed Operational cost and emissions minimisation of a multi-microgrid system through energy management
title_short Operational cost and emissions minimisation of a multi-microgrid system through energy management
title_sort operational cost and emissions minimisation of a multi microgrid system through energy management
topic UCTD
Emissions
Optimisation
Operational Cost
Energy Management System
url http://hdl.handle.net/2263/95669