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Assessing the Feasibility of Game-theory-based Demand Response Management by Practical Implementation
Yu, Mengmeng1; Zhang, Xiongfeng1; Jiang, Junhui1; Lee, ChangDae1; Hong, Seung Ho1; Wang K(王锴)2,3; Xu AD(徐皑冬)2,3
Department工业控制网络与系统研究室
Source PublicationIEEE Access
ISSN2169-3536
2021
Volume9Pages:8220-8232
Indexed BySCI ; EI
EI Accession number20210409805434
WOS IDWOS:000608199800001
Contribution Rank2
Funding OrganizationNational Research Foundation of Korea under Grant NRF-2018K1A3A1A61026340 ; Human Resources Program in Energy Technology of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) ; Ministry of Trade, Industry and Energy under Grant 20174030201780
KeywordDemand response (DR) implementation energy management game theory
Abstract

Demand response (DR) has been widely recognized as an effective solution to help mitigate the stresses imposed on power grids. As new concepts evolve, DR induces various interactions among multiple emerging entities, which further complicates the decision-making processes in grid operations. Recently, game theory (GT) has received great attention in DR management, due to its ability to handle complex decision-making problems. Numerous theoretical GT-based approaches have been proposed for addressing various DR issues, but the feasibility of these theoretical approaches in practical implementation remains in doubt. To bridge the gap between theoretical studies and practical implementations, we first provide specific guidelines regarding how to construct a DR-oriented facility, and then investigate the effectiveness of deploying a Stackelberg game theory-based DR algorithm to manage the energy consumption of the facility, wherein the energy management center (EMC) serves as the leader and multiple devices act as the followers. The experimental evaluation results show that the GT-based DR algorithm achieved great performance in practical DR management, including optimal load control in responding to real-time price (RTP), and peak load reduction with a peak-to-average ratio (PAR) of 1.59.

Language英语
WOS SubjectComputer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS Research AreaComputer Science ; Engineering ; Telecommunications
Funding ProjectNational Research Foundation of Korea[NRF-2018K1A3A1A61026340] ; Human Resources Program in Energy Technology of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) from Ministry of Trade, Industry and Energy[20174030201780]
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/28208
Collection工业控制网络与系统研究室
Corresponding AuthorHong, Seung Ho
Affiliation1.Department of Electronic Engineering, Hanyang University, Ansan, 15588, Korea
2.Key Laboratory of Networked Control Systems, Chinese Academy of Science, Shenyang Institute of Automation, Shenyang, 110016, China
3.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China
Recommended Citation
GB/T 7714
Yu, Mengmeng,Zhang, Xiongfeng,Jiang, Junhui,et al. Assessing the Feasibility of Game-theory-based Demand Response Management by Practical Implementation[J]. IEEE Access,2021,9:8220-8232.
APA Yu, Mengmeng.,Zhang, Xiongfeng.,Jiang, Junhui.,Lee, ChangDae.,Hong, Seung Ho.,...&Xu AD.(2021).Assessing the Feasibility of Game-theory-based Demand Response Management by Practical Implementation.IEEE Access,9,8220-8232.
MLA Yu, Mengmeng,et al."Assessing the Feasibility of Game-theory-based Demand Response Management by Practical Implementation".IEEE Access 9(2021):8220-8232.
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