Journal article
An energy flow simulation tool for incorporating short-term PV forecasting in a diesel-PV-battery off-grid power supply system
Applied Energy, Vol.254
2019
Abstract
One of the primary technical challenges of integrating high levels of PV generation into standalone off-grid power supply systems is their variable power output characteristics. In dealing with this issue, the integration of reliable PV forecasting techniques and preferably energy storage, are highly effective. Applying a short-term PV forecasting method, together with a compensatory controllable resource, can help in the management of system operation. This study incorporates the development of an energy flow modelling tool that has been used to analyse the benefits of 1-min ahead PV forecasting and battery storage for different system configurations. Based on the five days of 1-min ahead forecasting results analysed, it is found that PV forecasting enables the prosumer to install more than double the PV capacity, compared to the allowed installed PV capacity when no forecasting is employed. This additional PV capacity saves around 24–25% (on average) of diesel fuel per day for the diesel-PV-battery configuration. The outcomes evidently indicate that incorporating 1-min ahead PV forecasting enables a significant increase of PV hosting capacity of the system, without compromising the reliability of the system.
Details
- Title
- An energy flow simulation tool for incorporating short-term PV forecasting in a diesel-PV-battery off-grid power supply system
- Authors/Creators
- T. Jamal (Author/Creator) - Murdoch UniversityC. Carter (Author/Creator) - Murdoch UniversityT. Schmidt (Author/Creator) - DLR Institute of Networked Energy Systems, Energy Systems Analysis, 26122 Oldenburg, GermanyGM. Shafiullah (Author/Creator) - Murdoch UniversityM. Calais (Author/Creator) - Murdoch UniversityT. Urmee (Author/Creator) - Murdoch University
- Publication Details
- Applied Energy, Vol.254
- Publisher
- Elsevier B.V.
- Identifiers
- 991005543272007891
- Copyright
- © 2019 Elsevier Ltd.
- Murdoch Affiliation
- College of Science, Health, Engineering and Education
- Language
- English
- Resource Type
- Journal article
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- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.18 Power Systems & Electric Vehicles
- 4.18.575 Photovoltaic Systems
- Web Of Science research areas
- Energy & Fuels
- Engineering, Chemical
- ESI research areas
- Engineering