Optimal coupling of heat and electricity systems: A stochastic hierarchical approach

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedings – Annual report year: 2016Researchpeer-review

View graph of relations

The large penetration of renewables in the power system increases the need for flexibility. Flexibility gains and wind curtailment reduction can be achieved through a better coordination with other energy systems, in particular with district heating. Loose interactions between these two systems already exist due to the participation of CHPs in both markets. New market structures must be developed in order to exploit these synergies. Recognizing the above-mentioned challenges this paper proposes a stochastic hierarchical formulation of the heat economic dispatch problem in a system with high penetration of CHPs and wind. The objective of this optimization problem is to minimize the heat production cost, subject to constraints describing day-ahead electricity market clearing scenarios. Uncertainties concerning wind power production, electricity demand and rival participants offers are efficiently modelled using a finite set of scenarios. This model takes advantage of existing market structures and provides a decision-making tool for heat system operators. The proposed model is implemented in a case study and results are discussed to show the benefits and applicability of this approach.
Original languageEnglish
Title of host publicationProceedings of International Conference on Probabilistic Methods Applied to Power Systems
Number of pages6
PublisherIEEE
Publication date2016
ISBN (Print)978-1-5090-1970-0
DOIs
Publication statusPublished - 2016
EventInternational Conference on Probabilistic Methods Applied to Power Systems - Beijing, China
Duration: 16 Oct 201620 Oct 2016

Conference

ConferenceInternational Conference on Probabilistic Methods Applied to Power Systems
CountryChina
CityBeijing
Period16/10/201620/10/2016
CitationsWeb of Science® Times Cited: No match on DOI

    Research areas

  • Integrated energy systems, District heating, Hierarchical optimization, MPEC, Stochastic programming
Download as:
Download as PDF
Select render style:
APAAuthorCBE/CSEHarvardMLAStandardVancouverShortLong
PDF
Download as HTML
Select render style:
APAAuthorCBE/CSEHarvardMLAStandardVancouverShortLong
HTML
Download as Word
Select render style:
APAAuthorCBE/CSEHarvardMLAStandardVancouverShortLong
Word

Download statistics

No data available

ID: 127820139