Optimal Regulation of Virtual Power Plants

Emiliano Dall-Anese, Swaroop Guggilam, Andrea Simonetto, Yu Chen, Sairaj Dhople

Research output: Contribution to journalArticle

127 Scopus Citations


This paper develops a real-time algorithmic framework for aggregations of distributed energy resources (DERs) in distribution networks to provide regulation services in response to transmission-level requests. Leveraging online primal-dual-type methods for time-varying optimization problems and suitable linearizations of the nonlinear AC power-flow equations, we believe this work establishes the system-theoretic foundation to realize the vision of distribution-level virtual power plants. The optimization framework controls the output powers of dispatchable DERs such that, in aggregate, they respond to automatic-generation-control and/or regulation-services commands. This is achieved while concurrently regulating voltages within the feeder and maximizing customers' and utility's performance objectives. Convergence and tracking capabilities are analytically established under suitable modeling assumptions. Simulations are provided to validate the proposed approach.
Original languageAmerican English
Pages (from-to)1868-1881
Number of pages14
JournalIEEE Transactions on Power Systems
Issue number2
StatePublished - 2018

NREL Publication Number

  • NREL/JA-5D00-67654


  • distributed energy resources
  • distribution systems
  • real-time control
  • time-varying optimization
  • virtual power plants


Dive into the research topics of 'Optimal Regulation of Virtual Power Plants'. Together they form a unique fingerprint.

Cite this