Journal article
A novel peak shaving algorithm for islanded microgrid using battery energy storage system
Energy, Vol.196, Art. 117084
2020
Abstract
The objective of this study is to propose a decision-tree-based peak shaving algorithm for islanded microgrid. The proposed algorithm helps an islanded microgrid to operate its generation units efficiently. Effectiveness of the proposed algorithm was tested with a BESS-based MATLAB/Simulink model of an actual microgrid under realistic load conditions which were recorded. To evaluate the performance, simulation case studies were conducted under various load conditions and results were compared with conventional techniques. Results showed that the proposed algorithm offers a simple and effective way of peak load shaving without heavy computational burdens often needed in other methods. The comparison analysis verified that the proposed algorithm can effectively mitigate the peak load demand regardless of the schedule of the generators, where conventional methods were limited. The financial benefit investigation shows that microgrid utility can enjoy substantial savings, while reducing of the peak demand of the microgrid. Thus, the islanded microgrid that include fuel-based generation can implement the proposed technique to reduce the consumption of fuel and increase the efficiency of fuel-based generation through peak load mitigation.
Details
- Title
- A novel peak shaving algorithm for islanded microgrid using battery energy storage system
- Authors/Creators
- M. Uddin (Author/Creator) - Universiti Teknologi PetronasM.F. Romlie (Author/Creator) - Universiti Teknologi PetronasM.F. Abdullah (Author/Creator) - Universiti Teknologi PetronasC. Tan (Author/Creator) - University of MalayaGM. Shafiullah (Author/Creator) - Murdoch UniversityA.H.A. Bakar (Author/Creator)
- Publication Details
- Energy, Vol.196, Art. 117084
- Publisher
- Elsevier BV
- Identifiers
- 991005542699507891
- Copyright
- © 2020 Elsevier Ltd.
- Murdoch Affiliation
- School of Engineering and Energy
- Language
- English
- Resource Type
- Journal article
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- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.18 Power Systems & Electric Vehicles
- 4.18.204 Smart Grid Optimization
- Web Of Science research areas
- Energy & Fuels
- Thermodynamics
- ESI research areas
- Engineering