A model predictive approach for community battery energy storage system optimization
Open accessAbstract
This paper presents an efficient algorithm for optimizing the operation of battery storage in a low voltage distribution network with a high penetration of PV generation. A predictive control solution is presented that uses wavelet neural networks to predict the load and PV generation at hourly intervals for twelve hours into the future. The load and generation forecast, and the previous twelve hours of load and generation history, is used to assemble load profile. A diurnal charging profile can be compactly represented by a vector of Fourier coefficients allowing a direct search optimization algorithm to be applied. The optimal profile is updated hourly allowing the state of charge profile to respond to changing forecasts in load. © 2014 IEEE.
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MPC for ES control enables multiple objectives and constraints to be handled explicitly and allows the ES schedule to be tailored to improve voltage profiles, reduce losses, and respect both device and network limits.
“This enables multiple objectives and constraints to be handled explicitly and allows the ES schedule to be tailored to improve voltage profiles, reduce losses, and respect both device and network limits [86][87][88][89].”
From Voltage Regulation in Rooftop PV-Rich Distribution Networks: A Review and Detailed Case Study (2026) · cites this paper as [88]
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Voltage Regulation in Rooftop PV-Rich Distribution Networks: A Review and Detailed Case Study
Rahman, O., Elphick, S., & Robinson, D. A. (2026) · Electronics · doi:10.3390/electronics15051074 · Cited by 3 · see citing works
- Authors
- Pezeshki, H., Wolfs, P., & Ledwich, G.
- Affiliations
- Queensland University of Technology (AU)
- Central Queensland University (AU)
- Venue
- 2014 IEEE PES General Meeting | Conference & Exposition
- Publisher
- IEEE
- Published
- 2014-07
- Pages
- 1-5
- ISSN
- 1932-5517 (ISSN-L)
- OpenAlex
- W2041024986
- Cited by
- 22
- References
- 0
- Citations by year
- 2026: 1 · 2024: 1 · 2023: 2 · 2022: 3 · 2021: 4 · 2019: 1 · 2018: 3 · 2017: 2 · 2016: 2 · 2015: 3
- FWCI
- 2.84
- Type
- conference paper
- Language
- en
- Open access
- green
- figshare.com
- Licence
- cc-by
- Locations
- IEEE Power Engineering Society General Meeting (publishedVersion)
- QUT ePrints (Queensland University of Technology) (submittedVersion)
- Acquire (CQUniversity) (submittedVersion)
- eSpace (Curtin University) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Science & Engineering Faculty
- Funders
- Australian Government
- Queensland Government
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Integrated Energy Systems Optimization
- Keywords
- model predictive control, wavelet neural network, load forecasting, photovoltaic power forecasting, low-voltage distribution networks, Fourier coefficients, state of charge, direct search optimization, electricity profile
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