Optimal Regulation of Virtual Power Plants

Emiliano Dall Anese; Swaroop S. Guggilam; Andrea Simonetto; Yu Christine Chen; Sairaj V. Dhople

doi:10.1109/TPWRS.2017.2741920

Optimal Regulation of Virtual Power Plants

Emiliano Dall Anese, Swaroop S. Guggilam, Andrea Simonetto, Yu Christine Chen, Sairaj V. Dhople

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

127 Scopus citations

Abstract

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, this work establishes a 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 language	English (US)
Pages (from-to)	1868-1881
Number of pages	14
Journal	IEEE Transactions on Power Systems
Volume	33
Issue number	2
DOIs	https://doi.org/10.1109/TPWRS.2017.2741920
State	Published - Mar 2018

Bibliographical note

Funding Information:
Manuscript received December 7, 2016; revised April 22, 2017 and June 26, 2017; accepted August 15, 2017. Date of publication August 18, 2017; date of current version February 16, 2018. This work was supported by the U.S. Department of Energy under Contract DE-AC36-08GO28308 with the National Renewable Energy Laboratory. The work of E. Dall’Anese, S. Guggilam, and S. V. Dhople was supported by the Advanced Research Projects Agency-Energy under the Network Optimized Distributed Energy Systems Program. Paper no. TPWRS-01837-2016. (Corresponding author: Emiliano Dall’Anese.) E. Dall’Anese is with the National Renewable Energy Laboratory, Golden, CO 80401 USA (e-mail: emiliano.dallanese@nrel.gov).

Publisher Copyright:
© 2017 IEEE.

Keywords

Distribution systems
optimization with feedback
real-time optimization
virtual power plants

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abstract = "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, this work establishes a 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.",

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Optimal Regulation of Virtual Power Plants

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