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Aalborg University Research Portal
Contribution for newspaper or weekly magazine . 2017
Data sources: Aalborg University Research Portal
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A two-stage stochastic programming approach for operating multi-energy systems
Authors: Zeng, Qing; Fang, Jiakun; Chen, Zhe; Conejo, Antonio J.;
Abstract
This paper provides a two-stage stochastic programming approach for joint operating multi-energy systems under uncertainty. Simulation is carried out in a test system to demonstrate the feasibility and efficiency of the proposed approach. The test energy system includes a gas subsystem with a gas source and a gas storage facility, and electricity subsystem that includes a coal-fired power plant, a combined heat and power unit and a power-to-gas facility, and a conventional district heating subsystem.
Country
Denmark
Related Organizations
- Aalborg University Library (AUB) Aalborg Universitet Research Portal Denmark
- University System of Ohio United States
- Aalborg University Denmark
- The Ohio State University at Marion United States
- Aalborg University Denmark
Keywords
Multi-energy systems, District heating system, Natural gas system, Stochastic programming, Power system
Multi-energy systems, District heating system, Natural gas system, Stochastic programming, Power system
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).6 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average

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citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
6
Top 10%
Top 10%
Average