A population games transactive control for distributed energy resources

Eder Baron Prada; Eduardo Mojica-Nava

doi:10.1016/j.ijepes.2021.106874

A population games transactive control for distributed energy resources

Eder Baron Prada, Eduardo Mojica-Nava

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7 Scopus citations

Abstract

Distributed energy resources are considered as a cornerstone in the path to a smarter grid. However, this evolution brings some important challenges for real-time implementation, especially those concerning control design and its integration with distribution systems. We propose a distributed transactive control algorithm based on population games to dynamically manage the distributed energy resources and smart loads in the system to reach the optimum social welfare. Agents are considered non-cooperative and they are individually incentive-driven preserving stability while guaranteeing some optimality conditions on the real-time operation. Smart loads are modeled as a flexible load with a base-load. Potential population games concepts are used to analyze the stability and Nash equilibrium of the proposed game. Simulation results of the proposed algorithm show the stability and convergence of the proposed algorithm.

Original language	English (US)
Pages (from-to)	106874
Journal	International Journal of Electrical Power and Energy Systems
Volume	130
DOIs	https://doi.org/10.1016/j.ijepes.2021.106874
State	Published - Mar 13 2021

Bibliographical note

KAUST Repository Item: Exported on 2021-03-22

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

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10.1016/j.ijepes.2021.106874

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title = "A population games transactive control for distributed energy resources",

abstract = "Distributed energy resources are considered as a cornerstone in the path to a smarter grid. However, this evolution brings some important challenges for real-time implementation, especially those concerning control design and its integration with distribution systems. We propose a distributed transactive control algorithm based on population games to dynamically manage the distributed energy resources and smart loads in the system to reach the optimum social welfare. Agents are considered non-cooperative and they are individually incentive-driven preserving stability while guaranteeing some optimality conditions on the real-time operation. Smart loads are modeled as a flexible load with a base-load. Potential population games concepts are used to analyze the stability and Nash equilibrium of the proposed game. Simulation results of the proposed algorithm show the stability and convergence of the proposed algorithm.",

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AU - Mojica-Nava, Eduardo

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Y1 - 2021/3/13

N2 - Distributed energy resources are considered as a cornerstone in the path to a smarter grid. However, this evolution brings some important challenges for real-time implementation, especially those concerning control design and its integration with distribution systems. We propose a distributed transactive control algorithm based on population games to dynamically manage the distributed energy resources and smart loads in the system to reach the optimum social welfare. Agents are considered non-cooperative and they are individually incentive-driven preserving stability while guaranteeing some optimality conditions on the real-time operation. Smart loads are modeled as a flexible load with a base-load. Potential population games concepts are used to analyze the stability and Nash equilibrium of the proposed game. Simulation results of the proposed algorithm show the stability and convergence of the proposed algorithm.

AB - Distributed energy resources are considered as a cornerstone in the path to a smarter grid. However, this evolution brings some important challenges for real-time implementation, especially those concerning control design and its integration with distribution systems. We propose a distributed transactive control algorithm based on population games to dynamically manage the distributed energy resources and smart loads in the system to reach the optimum social welfare. Agents are considered non-cooperative and they are individually incentive-driven preserving stability while guaranteeing some optimality conditions on the real-time operation. Smart loads are modeled as a flexible load with a base-load. Potential population games concepts are used to analyze the stability and Nash equilibrium of the proposed game. Simulation results of the proposed algorithm show the stability and convergence of the proposed algorithm.

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JO - International Journal of Electrical Power and Energy Systems

JF - International Journal of Electrical Power and Energy Systems

ER -

A population games transactive control for distributed energy resources

Abstract

Bibliographical note

ASJC Scopus subject areas

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