On the Fairness of PV Curtailment Schemes in Residential Distribution Networks

Michael Z. Liu, Andreas T. Procopiou, Kyriacos Petrou, Luis F. Ochoa, Tom Langstaff, Justin Harding, John Theunissen

Research output: Contribution to journalArticlepeer-review

311 Downloads (Pure)


Active power curtailment of residential PV systems is an effective way to mitigate technical issues in distribution networks. However, existing curtailment schemes can treat households unfairly; e.g., Volt-Watt schemes increasingly being adopted worldwide inherently penalize PV systems at remote locations in radial feeders. Nonetheless, whether fairness is improved or not by alternative curtailment schemes depends on how the impacts on households are considered. In this context, household-centric metrics that quantify PV harvesting, energy export and financial benefit are used along with the Jain's fairness index to assess fairness from different perspectives. To explore the trade-offs brought by schemes that consider fairness differently, four linearized, three-phase Optimal Power Flow (OPF)-based schemes are proposed to determine, periodically, short-term curtailment settings. Using a real Australian 22kV feeder and realistically modelled LV networks with 4,500+ households, a detailed comparison is carried out considering also a Volt-Watt scheme. Results demonstrate tha tall the schemes that consider fairness are effective in removing locational penalizations. However, in terms of fairness, their performance across the adopted metrics reveals noticeable trade-offs. This highlights the need for decision-makers to determine the metric from which fairness can be based upon in a way that aligns with their respective policies.
Original languageEnglish
Pages (from-to)4502-4512
JournalIEEE Transactions on Smart Grid
Issue number5
Early online date27 Mar 2020
Publication statusE-pub ahead of print - 27 Mar 2020


Dive into the research topics of 'On the Fairness of PV Curtailment Schemes in Residential Distribution Networks'. Together they form a unique fingerprint.

Cite this