A two-stage data-driven multi-energy management considering demand response

Pengfei Zhao, Chenghong Gu, Zhidong Cao, Yue Xiang, Xiaohe Yan, Da Huo

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

2 Citations (SciVal)
69 Downloads (Pure)

Abstract

This paper proposes an innovative two-stage data-driven optimization framework for a multi-energy system. Enormous energy conversion technologies are incorporated in the system to enhance the overall energy utilization efficiency, i.e., combined heat and power, power-to-gas, gas furnace, and ground source heat pump. Furthermore, a demand response program is adopted for stimulating the load shift of customers. Accordingly, both the economic performance and system reliability can be improved. The endogenous solar generation brings about high uncertainty and variability, which affects the decision making of the system operator. Therefore, a two-stage data-driven distributionally robust optimization (TSDRO) method is utilized to capture the uncertainty. A tractable semidefinite programming reformulation is obtained based on the duality theory. Case studies are implemented to demonstrate the effectiveness of applying the TSDRO on energy management.

Original languageEnglish
Title of host publicationUbiComp/ISWC 2020 Adjunct - Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers
PublisherAssociation for Computing Machinery
Pages588-595
Number of pages8
ISBN (Electronic)9781450380768
DOIs
Publication statusPublished - 10 Sept 2020
Event2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2020 - Virtual, Online, Mexico
Duration: 12 Sept 202017 Sept 2020

Publication series

NameUbiComp/ISWC 2020 Adjunct - Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers

Conference

Conference2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2020
Country/TerritoryMexico
CityVirtual, Online
Period12/09/2017/09/20

Keywords

  • demand response
  • energy hub systems
  • multi-energy systems

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software
  • Hardware and Architecture

Fingerprint

Dive into the research topics of 'A two-stage data-driven multi-energy management considering demand response'. Together they form a unique fingerprint.

Cite this