@inproceedings{061c8907b6534d7fb1ff842e7ee02c25,
title = "On Static and Adaptive Policies for Chance-Constrained Voltage Regulation",
abstract = "Electricity distribution networks are envisioned to host an increasing number of photovoltaic (PV) generators. PV units are equipped with inverters that can inject or absorb reactive power, a capability that can be crucial for supporting safe nodal voltages. Inverter set points are designed as solutions of optimal power flow formulations with specifications on the probability that nodal voltages remain within safe bounds. This paper compares various designs for chance-constrained voltage regulation. Due to their inherent nonconvexity, chance constraints are replaced by the conditional-value-at-risk, which offers a conservative convex approximation. The focus is on designs that yield static reactive power control policies or policies that can control the reactive power in a fashion adaptive to the uncertain renewable energy production and load consumption.",
keywords = "Affine policy, chance constraints, conditional value at risk, distributed energy resources, voltage regulation",
author = "Ayyagari, {Krishna Sandeep} and Nikolaos Gatsis and Taha, {Ahmad F.} and Bing Dong",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018 ; Conference date: 28-10-2018 Through 31-10-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/ACSSC.2018.8645489",
language = "English (US)",
series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",
publisher = "IEEE Computer Society",
pages = "1858--1862",
editor = "Matthews, {Michael B.}",
booktitle = "Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018",
address = "United States",
}