Optimal scheduled power flow for distributed photovoltaic/wind/diesel generators with battery storage system

dc.contributor.authorKusakana, Kanzumba
dc.date.accessioned2018-08-07T11:30:57Z
dc.date.available2018-08-07T11:30:57Z
dc.date.issued2015
dc.descriptionPublished Articleen_US
dc.description.abstractIn this study, two control strategies involving ‘continuous’ and ‘ON/OFF’ operation of the diesel generator in the solar photovoltaic (PV)-wind-diesel-battery hybrid systems are modelled. The main purpose of these developed models is to minimise the hybrid system’s operation cost while finding the optimal power flow considering the intermittent solar and wind resources, the battery state of charge and the fluctuating load demand. The non-linearity of the load demand, the non-linearity of the diesel generator fuel consumption curve as well as the battery operation limits have been considered in the development of the models. The simulations have been performed using ‘fmincon’ for the continuous operation and ‘intlinprog’ for the ON/OFF operation strategy implemented in Matlab. These models have been applied to two test examples; the simulation results are analysed and compared with the case where the diesel generator is used alone to supply the given load demand. The results show that using the developed PV-diesel-battery optimal operation control models, significant fuel saving can be achieved compared with the case where the diesel is used alone to supply the same load requirements.en_US
dc.identifier.issn1752-1416
dc.identifier.urihttp://hdl.handle.net/11462/1461
dc.language.isoen_USen_US
dc.publisherThe Institution of Engineering and Technology Renewable Power Generationen_US
dc.titleOptimal scheduled power flow for distributed photovoltaic/wind/diesel generators with battery storage systemen_US
dc.typeArticleen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Kusakana,K;Pages p.1-9.pdf
Size:
2.02 MB
Format:
Adobe Portable Document Format
Description:
Article

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: