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Multi-Objective Optimization for Smart Integrated Energy System Considering Demand Responses and Dynamic Prices
Zhang, Dongdong1; Zhu, Hongyu1; Zhang, Hongcai2; Goh, Hui Hwang1; Liu, Hui1; Wu, Thomas1
2022-03-01
Source PublicationIEEE Transactions on Smart Grid
ISSN1949-3053
Volume13Issue:2Pages:1100 - 1112
Abstract

The coordinated implementation of demand response technology and dynamic energy prices facilitates the interaction among multiple stakeholders in the smart integrated energy system. To achieve the optimal operation between different entities in the system, this paper proposes a multi-objective optimization model for smart integrated energy system considering demand responses and dynamic prices that reflects the preferences of multiple stakeholders. Based on the tightly coupled characteristics of a multi-energy system, a flexible two-dimensional demand response model with spatio-temporal coupling characteristics is established. By analyzing the characteristics of multi-entities joint pricing, the dynamic energy price formulated with the participation of both supplier and demander is optimized, and the dynamic price control strategy of different stakeholders under different benefit weights is obtained. A case study verifies the effectiveness of the proposed method. According to the interest preferences of different entities, different strategies and operating mechanisms can be derived, which is conducive to improving the economy and reliability of the operation of the smart integrated energy system and promoting the interaction between multiple entities.

KeywordSmart Integrated Energy System Two-dimensional Demand Response Dynamic Energy Price Energy Management Optimal Operation
DOI10.1109/TSG.2021.3128547
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000761224400027
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141
Scopus ID2-s2.0-85125711194
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionTHE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
Corresponding AuthorZhang, Hongcai
Affiliation1.School of Electrical Engineering, Guangxi University, Nanning, 530004, China
2.State Key Laboratory of Internet of Things for Smart City, University of Macau, Macao
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Zhang, Dongdong,Zhu, Hongyu,Zhang, Hongcai,et al. Multi-Objective Optimization for Smart Integrated Energy System Considering Demand Responses and Dynamic Prices[J]. IEEE Transactions on Smart Grid, 2022, 13(2), 1100 - 1112.
APA Zhang, Dongdong., Zhu, Hongyu., Zhang, Hongcai., Goh, Hui Hwang., Liu, Hui., & Wu, Thomas (2022). Multi-Objective Optimization for Smart Integrated Energy System Considering Demand Responses and Dynamic Prices. IEEE Transactions on Smart Grid, 13(2), 1100 - 1112.
MLA Zhang, Dongdong,et al."Multi-Objective Optimization for Smart Integrated Energy System Considering Demand Responses and Dynamic Prices".IEEE Transactions on Smart Grid 13.2(2022):1100 - 1112.
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