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Control methodologies: Peak reduction algorithms for DNO owned storage devices on the Low Voltage network

Rowe, M., Holderbaum, W. and Potter, B. (2013) Control methodologies: Peak reduction algorithms for DNO owned storage devices on the Low Voltage network. In: Innovative Smart Grid Technologies Europe (ISGT EUROPE), 2013 4th IEEE/PES, 6-9 Oct, Denmark, pp. 1-5,

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To link to this item DOI: 10.1109/ISGTEurope.2013.6695291


The Distribution Network Operators (DNOs) role is becoming more difficult as electric vehicles and electric heating penetrate the network, increasing the demand. As a result it becomes harder for the distribution networks infrastructure to remain within its operating constraints. Energy storage is a potential alternative to conventional network reinforcement such as upgrading cables and transformers. The research presented here in this paper shows that due to the volatile nature of the LV network, the control approach used for energy storage has a significant impact on performance. This paper presents and compares control methodologies for energy storage where the objective is to get the greatest possible peak demand reduction across the day from a pre-specified storage device. The results presented show the benefits and detriments of specific types of control on a storage device connected to a single phase of an LV network, using aggregated demand profiles based on real smart meter data from individual homes. The research demonstrates an important relationship between how predictable an aggregation is and the best control methodology required to achieve the objective.

Item Type:Conference or Workshop Item (Paper)
Divisions:Science > School of the Built Environment > Construction Management and Engineering
Life Sciences > School of Biological Sciences > Department of Bio-Engineering
Interdisciplinary centres and themes > Energy Research
Science > School of the Built Environment > Energy and Environmental Engineering group
ID Code:36823

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