Distributed load scheduling in smart community with capacity constrained local power supplier

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

1 Scopus Citations
View graph of relations

Author(s)

  • Nuo Yu
  • Lan Mu
  • Yuting Miao
  • Hejiao Huang
  • Hongwei Du

Detail(s)

Original languageEnglish
Title of host publication2015 IEEE 34th International Performance Computing and Communications Conference (IPCCC)
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Electronic)9781467385909
Publication statusPublished - Dec 2015
Externally publishedYes

Publication series

Name
ISSN (Electronic)2374-9628

Conference

Title34th IEEE International Performance Computing and Communications Conference, IPCCC 2015
PlaceChina
CityNanjing
Period14 - 16 December 2015

Abstract

In this paper, we investigate the residential load scheduling problem within a smart energy community, which is powered by a primary utility along with a small scale local power supplier. As a premise, unit prices set by these two suppliers are different and both are time-varying. Therefore, users are motivated to control their household appliances' operation time and calculate appropriate portions of power purchased from these two suppliers to achieve bill curtailments. The capacity constraint of local power supplier, arising from the renewable energy source and the limited storage capability, also should not be violated. We formulate a residential load scheduling problem to address this situation. Distributed scheme based on information exchange among users is proposed, without over revealing individual user's load profile. Then we propose a distributed algorithm to solve this scheduling problem. Simulation results show that the proposed approach can reduce energy cost of the community and cut down electricity payments of users, and the peak-to-average ratio in load demand is also decreased.

Citation Format(s)

Distributed load scheduling in smart community with capacity constrained local power supplier. / Yu, Nuo; Mu, Lan; Miao, Yuting; Huang, Hejiao; Du, Hongwei; Jia, Xiaohua.

2015 IEEE 34th International Performance Computing and Communications Conference (IPCCC). Institute of Electrical and Electronics Engineers, 2015. 7410293.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review