Contract-Theoretic Demand Response Management in Smart Grid Systems

The sheer growth of electricity demand and the rising number of electricity-hungry devices have highlighted and elevated the need of addressing the demand response management problem in residential smart grid systems. In this article, a novel contract-theoretic demand response management (DRM) frame...

Full description

Bibliographic Details
Main Authors: Nafis Irtija, Fisayo Sangoleye, Eirini Eleni Tsiropoulou
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9220119/
_version_ 1818933627865530368
author Nafis Irtija
Fisayo Sangoleye
Eirini Eleni Tsiropoulou
author_facet Nafis Irtija
Fisayo Sangoleye
Eirini Eleni Tsiropoulou
author_sort Nafis Irtija
collection DOAJ
description The sheer growth of electricity demand and the rising number of electricity-hungry devices have highlighted and elevated the need of addressing the demand response management problem in residential smart grid systems. In this article, a novel contract-theoretic demand response management (DRM) framework in residential smart grid systems is introduced based on the principles of labor economics. The residential households produce and consume electricity, acting as dynamic prosumers. Initially, the prosumers' personal electricity generation and consumption characteristics are captured by introducing the concept of prosumers' types. Then, the prosumers' and the electricity market's profit is depicted in representative utility functions. Based on the labor economics principles, Contract Theory is adopted to design the interactions among the electricity market, which offers personalized rewards to the prosumers in order to buy electricity at an announced price, and the prosumers, who offer their “effort” by paying for the purchased electricity. The contract-theoretic DRM problem is formulated as a maximization problem of the electricity market's utility, while jointly guaranteeing the optimal satisfaction of the prosumers, under the scenarios of complete and incomplete information from the electricity market's perspective regarding knowing or not the prosumers' types, respectively. The corresponding optimization problems are solved following a convex optimization approach and the optimal contracts, i.e., rewards and efforts, are determined. Detailed numerical results obtained via modeling and simulation, highlight the key operation features and superiority of the proposed framework.
first_indexed 2024-12-20T04:51:24Z
format Article
id doaj.art-f230774f1b4442a79febe4ba8baa7945
institution Directory Open Access Journal
issn 2169-3536
language English
last_indexed 2024-12-20T04:51:24Z
publishDate 2020-01-01
publisher IEEE
record_format Article
series IEEE Access
spelling doaj.art-f230774f1b4442a79febe4ba8baa79452022-12-21T19:52:50ZengIEEEIEEE Access2169-35362020-01-01818497618498710.1109/ACCESS.2020.30301959220119Contract-Theoretic Demand Response Management in Smart Grid SystemsNafis Irtija0https://orcid.org/0000-0001-7932-6123Fisayo Sangoleye1https://orcid.org/0000-0003-0969-8508Eirini Eleni Tsiropoulou2https://orcid.org/0000-0003-1322-1876Department of Electrical and Computer Engineering, The University of New Mexico, Albuquerque, NM, USADepartment of Electrical and Computer Engineering, The University of New Mexico, Albuquerque, NM, USADepartment of Electrical and Computer Engineering, The University of New Mexico, Albuquerque, NM, USAThe sheer growth of electricity demand and the rising number of electricity-hungry devices have highlighted and elevated the need of addressing the demand response management problem in residential smart grid systems. In this article, a novel contract-theoretic demand response management (DRM) framework in residential smart grid systems is introduced based on the principles of labor economics. The residential households produce and consume electricity, acting as dynamic prosumers. Initially, the prosumers' personal electricity generation and consumption characteristics are captured by introducing the concept of prosumers' types. Then, the prosumers' and the electricity market's profit is depicted in representative utility functions. Based on the labor economics principles, Contract Theory is adopted to design the interactions among the electricity market, which offers personalized rewards to the prosumers in order to buy electricity at an announced price, and the prosumers, who offer their “effort” by paying for the purchased electricity. The contract-theoretic DRM problem is formulated as a maximization problem of the electricity market's utility, while jointly guaranteeing the optimal satisfaction of the prosumers, under the scenarios of complete and incomplete information from the electricity market's perspective regarding knowing or not the prosumers' types, respectively. The corresponding optimization problems are solved following a convex optimization approach and the optimal contracts, i.e., rewards and efforts, are determined. Detailed numerical results obtained via modeling and simulation, highlight the key operation features and superiority of the proposed framework.https://ieeexplore.ieee.org/document/9220119/Smart grid systemscontract theorydemand response managementlabor economicsprosumerselectricity market
spellingShingle Nafis Irtija
Fisayo Sangoleye
Eirini Eleni Tsiropoulou
Contract-Theoretic Demand Response Management in Smart Grid Systems
IEEE Access
Smart grid systems
contract theory
demand response management
labor economics
prosumers
electricity market
title Contract-Theoretic Demand Response Management in Smart Grid Systems
title_full Contract-Theoretic Demand Response Management in Smart Grid Systems
title_fullStr Contract-Theoretic Demand Response Management in Smart Grid Systems
title_full_unstemmed Contract-Theoretic Demand Response Management in Smart Grid Systems
title_short Contract-Theoretic Demand Response Management in Smart Grid Systems
title_sort contract theoretic demand response management in smart grid systems
topic Smart grid systems
contract theory
demand response management
labor economics
prosumers
electricity market
url https://ieeexplore.ieee.org/document/9220119/
work_keys_str_mv AT nafisirtija contracttheoreticdemandresponsemanagementinsmartgridsystems
AT fisayosangoleye contracttheoreticdemandresponsemanagementinsmartgridsystems
AT eirinielenitsiropoulou contracttheoreticdemandresponsemanagementinsmartgridsystems