Risk-Averse Multiobjective Optimization for Integrated Electricity and Heating System: An Augment Epsilon-Constraint Approach

Uncertainties including demand and environmental factors would increase the operational risk of the energy supply networks. It significantly affects the technical and financial aspects of the integrated electricity and heating system (IEHS). This article presents a risk-averse multiobjective optimiz...

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Veröffentlicht in:	IEEE systems journal Jg. 16; H. 4; S. 5142 - 5153
Hauptverfasser:	Si, Fangyuan, Wang, Jinkuan, Han, Yinghua, Zhao, Qiang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.12.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Cogeneration Costs Decision making Electricity Epsilon-constraint method Heating integrated electricity and heating system (IEHS) Integrated energy systems multiobjective optimization Multiple objective analysis Optimization methods Pareto front Pareto optimization Probability distribution Resistance heating Risk levels Uncertainty Waste heat Wind power generation
ISSN:	1932-8184, 1937-9234
Online-Zugang:	Volltext
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