Multitime Scale Co-Optimized Dispatch for Integrated Electricity and Natural Gas System Considering Bidirectional Interactions and Renewable Uncertainties

This article presents a model predictive control (MPC) based multitime scale co-optimized dispatch for integrated electricity and natural gas system (IEGS) considering the bidirectional interactions and renewable uncertainties. In the proposed model, optimal dispatch is extended into three substages...

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Veröffentlicht in:	IEEE transactions on industry applications Jg. 58; H. 4; S. 5317 - 5327
Hauptverfasser:	Zhang, Zhenwei, Wang, Chengfu, Chen, Shuai, Zhao, Yufei, Dong, Xiaoming, Han, Xueshan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.07.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Closed loops Decision making Dispatching Electricity Integrated electricity and natural gas system (IEGS) Integrated energy systems Mixed integer mixed-integer second-order cone programming problem (MISOCP) model predictive control (MPC) multitime scale co-optimization Natural gas Optimization Pipelines Power dispatch Predictive control Real time Real-time systems stochastic scenario method Uncertainty Unit commitment Wind power Wind power generation
ISSN:	0093-9994, 1939-9367
Online-Zugang:	Volltext
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