RESIDENTIAL NETWORK TARIFFS

Transition to peak-load-based tariffs can be disruptive for different groups of consumers

New network tariffs designed to recover grid operating costs can introduce up to a 500% increase in charges for some households. A transition from volumetric to peak-load-based tariffs will require targeted policy measures such as clear price signals, information about household electricity consumption and temporary compensation or mitigation mechanisms.

Messages for policy

  • New tariffs designed to support continued network charges in the face of increased electricity self-consumption should include cost transparency and set the right consumer incentives.

  • The low predictability of tariffs based on peak charges and their potentially high financial impact may result in an increased number of consumer complaints. Procedures will need to be introduced to handle this.

  • Impact of alternative tariffs on household budgets is largely dependent on the household’s economic status. Mitigation mechanisms to deal with hardship cases, at least during the transition phase, are required.

  • Tariffs that combine measured peak demand and volumetric components can help manage increased self-consumption and rebalance the distribution of network costs across customers irrespective of their socioeconomic status.

BASED ON V. Azarova et al. Nature Energy https://doi.org/10.1038/s41560-018-0105-4 (2018).

The policy problem

Growing self-generation and storage are expected to cause significant changes in residential electricity usage patterns and hence household bills. However, the costs of operating the electricity grid must still be recovered from ratepayers. Commonly applied volumetric network tariffs may result in an imbalance between different socioeconomic groups of households and their respective contributions to recovering these operating costs. The introduction of smart meters offers new tariff models to finance electricity grids, such as a change from volumetric grid tariffs to charging customers for the load peaks they induce. However, it is important to know whether certain tariffs ultimately shift the burden of grid maintenance towards lower-income households. A better understanding of the impact of new tariffs on households across a range of socioeconomic backgrounds can help to design tariffs that recover the costs needed for the sustainable operation of the grid in a socially equitable manner.

The findings

We modelled the effects of 11 network tariff scenarios on household budgets using real load profiles from 765 households collected between April 2010 and March 2011 in Austria. We found that, for tariffs emphasizing peak charges, the predictability of annual network costs for households is potentially low, because the costs are driven by only a small number of peak consumption values. Moreover, the impact of peak charges on household budgets can be disruptive. More specifically, we found up to a 500% increase in network charges for some households under the extreme tariff scheme tested. Although the potential size of the effects is dramatic, one might expect that households would adapt to the new tariff schemes after a while. We were unable to test such a response as we only used historic data where no alternative tariffs with price signals were applied.

The study

Our study explored the impact of applying peak-load-based tariffs on the budgets of households that had mainly been charged based on consumed volumes before. We recruited households from Upper Austria, who gave us permission to collect their 15-minute electricity load profiles from their smart meter between April 2010 and March 2011. They also provided socioeconomic information and details of their electric appliances. We used this data to estimate the change in household network expenditures for 11 different combinations of energy, peak and fixed charges that try to recover network charges in different ways. Under each scenario, the household was sent specific signals about prices.

References

Further Reading

  1. Study on Tariff Design for Distribution Systems (European Commission, 2015). This work analyses regulatory schemes applied in the member states to electricity and gas distribution, identifies best practices and makes recommendations for the European Commission on the desirable features of distribution tariff regulation.

  2. Küfeoğlu, S. & Pollitt, M. The impact of PVs and EVs on domestic electricity network charges: a case study from Great Britain. Energy Policy 127, 412–424 (2019). This study shows that the distribution tariffs in Great Britain will be dominated by electric vehicles in the future and that future electric vehicles and photovoltaics penetration projections indicate that the distribution tariffs will likely decrease for all customers in Great Britain.

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  3. Pérez-Arriaga, I. J. & Smeers, Y. in Transport Pricing of Electricity Networks (ed Lévêque, F.) Ch. 7 (Springer, 2003). This work d escribes the fundamentals of defining network tariffs.

  4. Simshauser, P. Distribution network prices and solar PV: resolving rate instability and wealth transfers through demand tariffs. Energy Econ. 54, 108–122 (2016).This study shows the extent of wealth transfers from non-solar households to solar households under traditional network tariff schemes.

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Acknowledgements

The original research was done as a part of PEAKapp project that has received funding under the European Union’s Horizon 2020 research and innovation programme, grant agreement no. 695945 (http://www.peakapp.eu/). A. K. received additional funding from the Austrian Ministry for Transport, Innovation and Technology (no. 848114). D. E. and C. F. gratefully acknowledge the financial support by the Austrian Federal Ministry of Science, Research and Economy, the Austrian National Foundation for Research, Technology and Development and the Federal State of Salzburg.

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Correspondence to Johannes Reichl.

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Azarova, V., Engel, D., Ferner, C. et al. Transition to peak-load-based tariffs can be disruptive for different groups of consumers. Nat Energy 4, 829–830 (2019). https://doi.org/10.1038/s41560-019-0479-y

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