Data-Driven Joint Distributionally Robust Chance-Constrained Operation for Multiple Integrated Electricity and Heating Systems

Integrating heating and electricity networks offers extra flexibility to the energy system operation while improving energy utilization efficiency. This paper proposes a data-driven joint distributionally robust chance-constrained (DRCC) operation model for multiple integrated electricity and heatin...

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Veröffentlicht in:	IEEE transactions on sustainable energy Jg. 15; H. 3; S. 1782 - 1798
Hauptverfasser:	Zhai, Junyi, Jiang, Yuning, Zhou, Ming, Shi, Yuanming, Chen, Wei, Jones, Colin N.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.07.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Alternating minimization algorithm Cogeneration Constraints data-driven Decision making distributed optimization Electricity Electricity supply industry Energy utilization Gas industry Heating systems integrated electricity and heating systems (IEHSs) Integrated energy systems joint distributionally robust chance-constrained optimized CVaR approximation (OCA) Pipelines Power system modeling Renewable energy Renewable energy sources Robustness Tightness Uncertainty
ISSN:	1949-3029, 1949-3037
Online-Zugang:	Volltext
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