Evaluating the effectiveness of storage control in reducing peak demand on low voltage feeders

Yunusov, T. ORCID: https://orcid.org/0000-0003-2318-3009, Haben, S., Lee, T., Ziel, F., Holderbaum, W. and Potter, B. (2017) Evaluating the effectiveness of storage control in reducing peak demand on low voltage feeders. In: CIRED 2017, 12-15 Jun 2017, Glasgow, UK, pp. 1745-1749.

Abstract/Summary

Uptake of Low Carbon Technologies is likely to lead to increased demand in distribution networks and consequently could impose additional stress on the networks. Battery Energy Storage Systems (BESS) are identified as a feasible alternative to traditional network reinforcement. This paper analyses two BESS scheduling algorithms (Model Predictive Control (MPC) and fixed schedule) supplied with forecasts from five methods for predicting demand on 100 low voltage feeders. Results show that forecasting feeders with higher mean daily demand produces lower mean absolute errors and better peak demand reduction. MPC with simple error improves peak reduction over fixed schedule for feeders with lower mean daily demand.

Additional Information	Volume 2017, Issue 1
Item Type	Conference or Workshop Item (Paper)
URI	https://reading-clone.eprints-hosting.org/id/eprint/69539
Item Type	Conference or Workshop Item
Refereed	Yes
Divisions	Interdisciplinary centres and themes > Centre for Technologies for Sustainable Built Environments (TSBE) Science > School of Mathematical, Physical and Computational Sciences > Department of Mathematics and Statistics > Centre for the Mathematics of Human Behaviour (CMOHB) Interdisciplinary centres and themes > Energy Research Science > School of the Built Environment > Energy and Environmental Engineering group
Additional Information	Volume 2017, Issue 1
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