Energy Forecasting for the Diurnal Management of Community Battery Systems


Community battery systems are shared by a small group of energy consumers and used to provide storage services. These may include the reduction of peak power demands, energy arbitrage and the control of network voltages. A battery can provide voltage support during times of high load or restrain voltage rises during times of high generation from embedded generators such as roof top solar systems. A community battery may be owned and operated by a customer collective, a network operator or by a third party such as a storage service aggregator. Batteries have significant capital and operating costs. The economic daily operation of energy storages is readily solvable using a range of optimisation methods. For any real time application the optimisation will rely completely upon daily forecasts of the aggregated customer loads and any local generation. The optimum solution will contain a strong periodic component which reflects the daily demand profiles of customers and the diurnal variation in solar generation. A feature of community battery storage systems is the relatively small number of consumers which often falls into the range of 10 to 100. The load diversity is higher than is observed in large electricity markets. Likewise the numbers of embedded generators is small and the generation is not geographically distributed to the extent that may occur in a large power system. The effect of spatial smoothing on reducing the variability of embedded local generation is lower. This talk presents some approaches to battery management. The study presented in talk is based upon data recorded within the Perth Solar City high penetration PV field trials. The trial studied 77 consumers with 29 roof top solar systems that were connected in one low voltage (LV) network. Data was available from consumer smart meters and a data logger connected to the LV network supply transformer. 

  Date and Time




  • 170 Kessels Rd
  • Nathan QLD 4111
  • Brisbane, Queensland
  • Australia 4111
  • Building: N25
  • Room Number: 0.06D
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Peter Wolfs


Energy Forecasting for the Diurnal Management of Community Battery Systems


Peter Wolfs (M’80, SM’99) was born in Rockhampton Australia in 1959

Professor Peter Wolfs is the Director of the Power and Energy Center at Central Queensland University, sustainability/centres2/pec . Prior to 2013 he was the Western Power Chair in Electrical Engineering at the Curtin University of Technology, in Perth, Australia.

His research interests include power electronics applications in distribution networks and railway power systems, distribution system and demand modeling, the impact of energy storage and high levels of renewable energy penetration, distributed and networked control of distribution networks and the intelligent protection of distribution systems especially for bushfire prevention. At Curtin University he was the Program Leader for Smart Grids within the Center for Smart Grid and Sustainable Power Systems.

Professor Wolfs is the author of more than 200 journal and conference publications and has secured in excess of $3Million AUD in competitive research funding. He serves on the Research Working Group of Smart Grids Australia, (SGA), and is one of the authors of the SGA R&D roadmap. In November 2010 he was an invited panelist at the SGA Conference at Parliament House, Canberra.

Professor Wolfs is a reviewer for the IEEE Transactions on Power Electronics, Vehicular Technology, Circuits and Systems, Industrial Electronics, Sustainable Energy, the IEEE ECCE Conferences and the IEEE/ASME Joint Rail Conferences. Professor Wolfs was the Technical Chair of the IEEE Power and Energy Society Innovative Smart Grid Technology Conference, ISGT Asia 2011. He is a reviewer for the Australian Research Council Discovery, Linkage and Fellowship Grant Applications.

Professor Wolfs is the Chair of the Australian Committee for Power Engineering (ACPE). ACPE manages the Australasian Universities Power Engineering Conference series. The conference is in its 23rd year and its papers appear in IEEE Xplore.

Professor Wolfs holds a PhD from the University of Queensland, a Master of Electronic Engineering from the Philips International Institute in Eindhoven, the Netherlands, and a Bachelor of Engineering Degree from Central Queensland University. He is a Senior Member of IEEE, A Chartered Professional Engineer and Fellow of Engineers Australia. He appears on the Australian National Professional Engineering Register as an Electrical Engineer. Professor Wolfs is a Registered Professional Engineer in the State of Queensland.


Peter Wolfs


Energy Forecasting for the Diurnal Management of Community Battery Systems



4:45 - 5:00 pm - Refreshment

5:00 - 5:45 pm - Talk

5:45 - 6:00 pm - Discussion

6:00 pm - Awarding PES Outstanding Engineer plaque

Transport and parking information is avilable  here

Link to map of the Nathan campus is  here