Open AccessAnalysis and optimisation of a diesel‐PV‐wind‐electric storage system for a standalone power solution
Author(s) -
Adefarati Temitope,
Bansal Ramesh C.,
Naidoo Raj,
Potgieter S.,
Rizzo R.,
Sanjeevikumar Padmanaban
Publication year - 2020
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/iet-rpg.2020.0895
Subject(s) - microgrid , photovoltaic system , diesel generator , reliability engineering , renewable energy , electric power system , automotive engineering , wind power , steam turbine , engineering , work (physics) , turbine , energy storage , electricity generation , environmental economics , computer science , power (physics) , diesel fuel , electrical engineering , mechanical engineering , economics , quantum mechanics , physics
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.