A second-order cone programming-based microgrid bidding strategy considering real-time market price correlation

This study establishes a non-deterministic microgrid bidding strategy methodology participating in a day-ahead energy market. In this regard, a stochastic programming-based model is mathematically constructed, fully considering the uncertainty of day-ahead market prices, electricity demand, and rene...

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Bibliographic Details
Published in:	Electrical engineering Vol. 107; no. 6; pp. 8141 - 8154
Main Authors:	El-Meligy, Mohammed A., Sharaf, Mohamed, Alnowibet, Khalid A., Abdelgawad, Abdelatty E.
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2025 Springer Nature B.V
Subjects:	Alternative energy sources Arbitrage Bids Correlation Distributed generation Economics and Management Electric power demand Electric vehicles Electrical Engineering Electrical Machines and Networks Electricity Energy industry Energy management Energy Policy Energy resources Energy storage Engineering Linear programming Market prices Mixed integer Operating costs Optimization Original Paper Power Electronics Profits Real time Robustness Stochastic programming Uncertainty Ellipsoidal uncertainty set Correlation Robust optimization Microgrid bidding strategy Second-order cone programming Stochastic programming
ISSN:	0948-7921, 1432-0487
Online Access:	Get full text
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