Reliability Evaluation and Financial Viability of an Electricity Power Micro-Grid System With the Incorporation of Renewable Energy Sources and Energy Storage: Case Study of KwaZulu-Natal, South Africa

Adeniyi Kehinde Onaolapo; Rudiren Pillay Carpanen; David George Dorrell; Evans Eshiemogie Ojo

doi:10.1109/ACCESS.2021.3129980

IEEE Access (Jan 2021)

Reliability Evaluation and Financial Viability of an Electricity Power Micro-Grid System With the Incorporation of Renewable Energy Sources and Energy Storage: Case Study of KwaZulu-Natal, South Africa

Adeniyi Kehinde Onaolapo,
Rudiren Pillay Carpanen,
David George Dorrell,
Evans Eshiemogie Ojo

Affiliations

Adeniyi Kehinde Onaolapo: ORCiD; Discipline of Electrical, Electronic and Computer Engineering, University of KwaZulu-Natal, Durban, South Africa
Rudiren Pillay Carpanen: Discipline of Electrical, Electronic and Computer Engineering, University of KwaZulu-Natal, Durban, South Africa
David George Dorrell: School of Electrical and Information Engineering, University of the Witwatersrand, Braamfontein, Johannesburg, South Africa
Evans Eshiemogie Ojo: ORCiD; Department of Electrical Power Engineering, Durban University of Technology, Durban, South Africa

DOI: https://doi.org/10.1109/ACCESS.2021.3129980
Journal volume & issue: Vol. 9
pp. 159908 – 159924

Abstract

Read online

The increase in the demand for a reliable electricity supply by the utilities and consumers has necessitated the evaluation of the reliability of power systems. A reliable electricity supply is characterized by no or minimal duration and frequency of supply outages. This has triggered the necessity of using renewable energy sources (RESs) with optimization methods for reliability improvement of electricity systems and reduction of greenhouse gas (GHG) emissions. The main objective of this study is to optimize micro-grid systems operations, improve reliability, reduce emissions and balance the demand and supply of energy through RESs and battery energy storage system (BESS). The adaptive model predictive control (AMPC) method is used to address the issues of micro-grid operation. The AMPC algorithm solves the optimization problem of disturbance prediction in a micro-grid with different types of RESs and BESS integration. This optimization problem considers different constraints for minimum operating costs in different case scenarios. The financial viability of the proposed method is investigated. Solar photovoltaic (Solar PV), wind plant (WP) and BESSs are used with the AMPC method to investigate the impacts of annual real interest rates on cost and emission parameters, quantification of the emission oxides from different case scenarios, reduction of the cost of electricity (Ccoe), and power system reliability improvement. A modified Roy Billinton Test System (RBTS) is used to confirm the reliability enhancement and financial feasibility of the system. Case studies are used to confirm the proposed methods using climatic data for the city of Pietermaritzburg (29.37° S and 30.23° E), South Africa. The results obtained establish that the incorporation of RESs and BESSs using the AMPC method gives satisfactory outcomes.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

About the journal

Abstract

Keywords