Demand response for renewable energy integration and load balancing in smart grid communities

Adriana Chis, Jayaprakash Rajasekharan, Jarmo Lundén, Visa Koivunen

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

16 Citations (Scopus)

Abstract

This paper proposes a demand response strategy for energy management within a smart grid community of residential households. Some of the households own renewable energy systems and energy storage systems (ESS) and sell the excess renewable energy to the residences that need electrical energy. The proposed strategy comprises methods that provide benefits for the residential electricity users and for the load aggregator. Specifically, we propose an off-line algorithm that schedules the renewable resources integration by trading energy between the renewable energy producers and buyers. Moreover, we propose a geometric programming based optimization method that uses the ESS for balancing the community's power grid load and for reducing the grid consumption cost. Simulations show that the proposed method may lead to a community's grid consumption cost reduction of 10.5%. It may also achieve balanced load profiles with peak to average ratio (PAR) close to unity, the average PAR reduction being 52%.

Original languageEnglish
Title of host publicationProceedings of the 24th European Signal Processing Conference, EUSIPCO 2016
PublisherIEEE
Pages1423-1427
Number of pages5
Volume2016-November
ISBN (Electronic)9780992862657
DOIs
Publication statusPublished - 28 Nov 2016
MoE publication typeA4 Article in a conference publication
EventEuropean Signal Processing Conference - Budapest, Hungary
Duration: 28 Aug 20162 Sep 2016
Conference number: 24
http://www.eusipco2016.org/

Publication series

NameEuropean Signal Processing Conference
PublisherInstitute of Electrical and Electronics Engineers, Inc.
ISSN (Print)2219-5491
ISSN (Electronic)2076-1465

Conference

ConferenceEuropean Signal Processing Conference
Abbreviated titleEUSIPCO
CountryHungary
CityBudapest
Period28/08/201602/09/2016
Internet address

Keywords

  • Demand response
  • Geometric programming
  • Load balancing
  • Optimization
  • Renewable energy
  • Smart grids

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