A flexible-reliable operation optimization model of the networked energy hubs with distributed generations, energy storage systems and demand response

This paper presents a novel optimization model for the flexible-reliable operation (FRO) of energy hubs (EHs) in electricity, natural gas, and district heating networks. To achieve flexible EH in the presence of renewable energy sources (RESs) and combined heat and power (CHP) system, energy storage...

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Veröffentlicht in:	Energy (Oxford) Jg. 239; S. 121923
Hauptverfasser:	Dini, Anoosh, Hassankashi, Alireza, Pirouzi, Sasan, Lehtonen, Matti, Arandian, Behdad, Baziar, Ali Asghar
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 15.01.2022 Elsevier BV
Schlagworte:	algorithms Cogeneration Distributed generation District heating Electric power demand electricity energy Energy costs Energy management Energy storage Flexibility Flexibility sources Flexible-reliable operation heat Hubs Hybrid evolutionary algorithm hybrids Machine learning Mixed integer Natural gas Network reliability Networked energy hub Nonlinear programming Optimization Optimization models Power flow power generation Renewable energy sources Scenario-based stochastic programming Search algorithms standard deviation Stochastic programming Storage systems Flexible-reliable operation Flexibility sources Hybrid evolutionary algorithm Networked energy hub Scenario-based stochastic programming
ISSN:	0360-5442, 1873-6785
Online-Zugang:	Volltext
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