@inproceedings{da8b0ae521e5464fb0c0bba28c22430c,
title = "Optimal Droop Scheduling of Smart Inverters in Unbalanced Distribution Feeders",
abstract = "Smart inverters (SIs) can support voltage regulation on distribution grids via the droop-based Volt-VAr functions, e.g., Q(V), as defined in the IEEE-1547. Due to varying levels of intraday photovoltaic (PV) power output, the feeder voltages could vary considerably. Thus, using default Q(v) droops may not necessarily provide effective voltage regulation support by the SIs, which could result in over or under-utilization of reactive power from the SIs. To this end, the Q(V) droops can be adjusted periodically to achieve better voltage regulation from the SIs. Therefore, this work proposes to develop an optimal droop scheduling model that provides an update of Q(V) droops as the operating conditions vary. The overall framework is developed as a mixed-integer linear program (MILP), which is built upon the linear three-phase power flow model and incorporates the choice of SIs' Q(V) droops and settings of legacy voltage control devices as the decision variables. The numerical case studies on the IEEE 123-node test feeder show the proposed approach is promising and could be recommended as a guide for Q(V) droop setting of SIs on practical feeders.",
keywords = "Optimal power flow, Volt-VAr control, droop setting, gain scheduling, smart inverters",
author = "Alper Savasci and Adedoyin Inaolaji and Sumit Paudyal",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Power and Energy Society General Meeting, PESGM 2023 ; Conference date: 16-07-2023 Through 20-07-2023",
year = "2023",
doi = "10.1109/PESGM52003.2023.10253258",
language = "English",
series = "IEEE Power and Energy Society General Meeting",
publisher = "IEEE Computer Society",
booktitle = "2023 IEEE Power and Energy Society General Meeting, PESGM 2023",
address = "United States",
}