A Peak Reduction Scheduling Algorithm for Storage Devices on the Low Voltage Network


Reinforcing the Low Voltage (LV) distribution network will become essential to ensure it remains within its operating constraints as demand on the network increases. The deployment of energy storage in the distribution network provides an alternative to conventional reinforcement. This paper presents a control methodology for energy storage to reduce peak demand in a distribution network based on day-ahead demand forecasts and historical demand data. The control methodology pre-processes the forecast data prior to a planning phase to build in resilience to the inevitable errors between the forecasted and actual demand. The algorithm uses no real time adjustment so has an economical advantage over traditional storage control algorithms. Results show that peak demand on a single phase of a feeder can be reduced even when there are differences between the forecasted and the actual demand. In particular, results are presented that demonstrate when the algorithm is applied to a large number of single phase demand aggregations that it is possible to identify which of these aggregations are the most suitable candidates for the control methodology.

Publication DOI: https://doi.org/10.1109/TSG.2014.2323115
Divisions: College of Engineering & Physical Sciences
College of Engineering & Physical Sciences > School of Engineering and Technology > Mechanical, Biomedical & Design
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Publication ISSN: 1949-3061
Last Modified: 03 Jun 2024 07:42
Date Deposited: 05 Aug 2019 10:07
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Related URLs: https://ieeexpl ... rnumber=6839069 (Publisher URL)
PURE Output Type: Article
Published Date: 2014-07-01
Accepted Date: 2014-05-02
Authors: Rowe, Matthew
Yunusov, Timur
Haben, Stephen
Singleton, Colin
Holderbaum, William (ORCID Profile 0000-0002-1677-9624)
Potter, Ben



Version: Accepted Version

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