Analysis and optimisation of a diesel‐PV‐wind‐electric storage system for a standalone power solution. Issue 19 (21st January 2021)

• Record Type: Journal Article
• Authors: Adefarati, Temitope; Bansal, Ramesh C.; Naidoo, Raj; Potgieter, S.; Rizzo, R.; Sanjeevikumar, Padmanaban
• Is Part Of: IET renewable power generation. Volume 14:Issue 19(2020)
• Page Start: 4053
• Page End: 4062
• Publication Date: 2021-01-21
• Subjects: optimisation -- photovoltaic power systems -- wind power plants -- turbogenerators -- renewable energy sources -- distributed power generation -- diesel‐electric generators -- hybrid power systems -- wind turbines; standalone power solution -- universal power demand -- population growth -- industrial revolution -- renewable energy technologies -- RETs -- cost‐effective solutions -- dynamic load profile -- standalone microgrid system -- wind turbine generator -- WTG -- total benefits -- market benefit share -- generation unit -- power system -- yearly average power -- optimisation -- diesel‐PV‐wind‐electric storage system; Renewable energy sources -- Periodicals; 333.79405
• DOI: 10.1049/iet-rpg.2020.0895
• Languages: English
• ISSNs: 1752-1416

Abstract

Abstract : The universal power demand is increasing every day because of population growth, industrial revolution and high standards of living. The renewable energy technologies (RETs) are environmental and cost‐effective solutions to satisfy dynamic load profile based on the application of multiple components of a standalone microgrid system that encompasses photovoltaic (PV), diesel generator (DG), electric storage system and wind turbine generator (WTG). This study reveals more insight into various research questions that have not been completely addressed in past investigations. The contributions of the study are expressed: (i) analyse the effects of RETs on the total cost, (ii) test the total benefits, (iii) estimate the market benefit share of the unit that reflects the benefit of one generation unit in proportion to the whole power system, (iv) maximise and minimise the yearly average power generated by (PV and WTG) and DG. This research work presents the application of fmincon optimising tool to accomplish the objectives of the study owing to some significant characteristics. The outcomes of the work show the validity of the model and can assist the utilities to minimise the costs that are identified with the optimal operation of their power systems.