A hierarchical demand-response algorithm for optimal vehicle-to-grid coordination

Andres Cortes; Sonia Martinez

doi:10.1109/ECC.2015.7330901

A hierarchical demand-response algorithm for optimal vehicle-to-grid coordination

Andres Cortes
, Sonia Martinez

University of California at San Diego

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

We propose an algorithm to deal with the problem of decentralized coordination of charging/discharging of a large population of plug-in electric vehicles (PEVs). We introduce a framework in which the power grid is modeled as an undirected rooted tree. The root of the tree represents the generation/transmission side of the system and the leaves represent PEVs. Intermediate nodes represent congestible elements on the distribution side (e.g., transformers), which have a bound on the demand they can attend. In the proposed algorithm, the root generates a control signal based on the price per unit of power according to the demand for each time. Intermediate nodes modify the control signal according to the difference between the demand they take care of, and its capacity upper bound. PEVs update their charging/discharging strategies according to this pricing signal. Simulations demonstrate the algorithm performance for a particular example.

Original language	English
Title of host publication	2015 European Control Conference, ECC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2420-2425
Number of pages	6
ISBN (Electronic)	9783952426937
DOIs	https://doi.org/10.1109/ECC.2015.7330901
Publication status	Published - 16 Nov 2015
Externally published	Yes
Event	European Control Conference, ECC 2015 - Linz, Austria Duration: 15 Jul 2015 → 17 Jul 2015

Publication series

Name	2015 European Control Conference, ECC 2015

Conference

Conference	European Control Conference, ECC 2015
Country/Territory	Austria
City	Linz
Period	15/07/15 → 17/07/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

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10.1109/ECC.2015.7330901

Cite this

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title = "A hierarchical demand-response algorithm for optimal vehicle-to-grid coordination",

abstract = "We propose an algorithm to deal with the problem of decentralized coordination of charging/discharging of a large population of plug-in electric vehicles (PEVs). We introduce a framework in which the power grid is modeled as an undirected rooted tree. The root of the tree represents the generation/transmission side of the system and the leaves represent PEVs. Intermediate nodes represent congestible elements on the distribution side (e.g., transformers), which have a bound on the demand they can attend. In the proposed algorithm, the root generates a control signal based on the price per unit of power according to the demand for each time. Intermediate nodes modify the control signal according to the difference between the demand they take care of, and its capacity upper bound. PEVs update their charging/discharging strategies according to this pricing signal. Simulations demonstrate the algorithm performance for a particular example.",

author = "Andres Cortes and Sonia Martinez",

note = "Publisher Copyright: {\textcopyright} 2015 EUCA.; European Control Conference, ECC 2015 ; Conference date: 15-07-2015 Through 17-07-2015",

year = "2015",

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doi = "10.1109/ECC.2015.7330901",

language = "English",

series = "2015 European Control Conference, ECC 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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}

Cortes, A & Martinez, S 2015, A hierarchical demand-response algorithm for optimal vehicle-to-grid coordination. in 2015 European Control Conference, ECC 2015., 7330901, 2015 European Control Conference, ECC 2015, Institute of Electrical and Electronics Engineers Inc., pp. 2420-2425, European Control Conference, ECC 2015, Linz, Austria, 15/07/15. https://doi.org/10.1109/ECC.2015.7330901

A hierarchical demand-response algorithm for optimal vehicle-to-grid coordination. / Cortes, Andres; Martinez, Sonia.
2015 European Control Conference, ECC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 2420-2425 7330901 (2015 European Control Conference, ECC 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Martinez, Sonia

PY - 2015/11/16

Y1 - 2015/11/16

N2 - We propose an algorithm to deal with the problem of decentralized coordination of charging/discharging of a large population of plug-in electric vehicles (PEVs). We introduce a framework in which the power grid is modeled as an undirected rooted tree. The root of the tree represents the generation/transmission side of the system and the leaves represent PEVs. Intermediate nodes represent congestible elements on the distribution side (e.g., transformers), which have a bound on the demand they can attend. In the proposed algorithm, the root generates a control signal based on the price per unit of power according to the demand for each time. Intermediate nodes modify the control signal according to the difference between the demand they take care of, and its capacity upper bound. PEVs update their charging/discharging strategies according to this pricing signal. Simulations demonstrate the algorithm performance for a particular example.

AB - We propose an algorithm to deal with the problem of decentralized coordination of charging/discharging of a large population of plug-in electric vehicles (PEVs). We introduce a framework in which the power grid is modeled as an undirected rooted tree. The root of the tree represents the generation/transmission side of the system and the leaves represent PEVs. Intermediate nodes represent congestible elements on the distribution side (e.g., transformers), which have a bound on the demand they can attend. In the proposed algorithm, the root generates a control signal based on the price per unit of power according to the demand for each time. Intermediate nodes modify the control signal according to the difference between the demand they take care of, and its capacity upper bound. PEVs update their charging/discharging strategies according to this pricing signal. Simulations demonstrate the algorithm performance for a particular example.

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M3 - Conference contribution

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SP - 2420

EP - 2425

BT - 2015 European Control Conference, ECC 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - European Control Conference, ECC 2015

Y2 - 15 July 2015 through 17 July 2015

ER -

A hierarchical demand-response algorithm for optimal vehicle-to-grid coordination

Abstract

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Conference

UN SDGs

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