On Static and Adaptive Policies for Chance-Constrained Voltage Regulation

Krishna Sandeep Ayyagari, Nikolaos Gatsis, Ahmad F. Taha, Bing Dong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationConference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Pages1858-1862
Number of pages5
ISBN (Electronic)9781538692189
DOIs
StatePublished - Feb 19 2019
Externally publishedYes
Event52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018 - Pacific Grove, United States
Duration: Oct 28 2018Oct 31 2018

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2018-October
ISSN (Print)1058-6393

Conference

Conference52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018
CountryUnited States
CityPacific Grove
Period10/28/1810/31/18

Keywords

  • Affine policy
  • chance constraints
  • conditional value at risk
  • distributed energy resources
  • voltage regulation

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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  • Cite this

    Ayyagari, K. S., Gatsis, N., Taha, A. F., & Dong, B. (2019). On Static and Adaptive Policies for Chance-Constrained Voltage Regulation. In M. B. Matthews (Ed.), Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018 (pp. 1858-1862). [8645489] (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2018-October). IEEE Computer Society. https://doi.org/10.1109/ACSSC.2018.8645489