Mitigating production uncertainties of renewables by adjustable load scheduling

Zofia Lukszo, T. Gerres

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

An increasing share of renewable energy sources (RES), such as wind and solar generation, is traded on the electricity markets. The volatility and forecast uncertainty of RES production cause market imbalances and hinder the transition towards emission-free electricity generation. Flexible load scheduling in the form of charging electric vehicles (EVs) offers an opportunity to counterbalance RES variability and forecast uncertainty and thereby enables a higher share of renewables. A stochastic linear multistage optimisation approach is presented to explore the benefits of combining RES production and flexible EV charging in the form of a hybrid aggregator trading on the liberalised electricity market. Model results show that the hybrid aggregator is able to minimise its imbalance requirements, but uses RES production for charging only if such is financially optimal. Further research is required to explore the market impact of the hybrid aggregator and test its feasibility.

Original languageEnglish
Title of host publicationProceedings of the 2017 IEEE 14th International Conference on Networking, Sensing and Control, ICNSC 2017
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages555-560
Number of pages6
ISBN (Electronic)9781509044283
DOIs
Publication statusPublished - 2017
Event14th IEEE International Conference on Networking, Sensing and Control, ICNSC 2017 - Calabria, Italy
Duration: 16 May 201718 May 2017
Conference number: 14

Conference

Conference14th IEEE International Conference on Networking, Sensing and Control, ICNSC 2017
Abbreviated titleICNSC 2017
CountryItaly
CityCalabria
Period16/05/1718/05/17

Keywords

  • Controlled EV charging
  • Load scheduling
  • RES market trading
  • RES uncertainty
  • Stochastic optimisation

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