Simultaneous consideration of the balancing market and day-ahead market in Stackelberg game for flexiramp procurement problem in the presence of the wind farms and a DR aggregator

This study presents a cooperative bidding model for energy, reserve, and flexiramp providing by a group of suppliers. Procurement problems in electricity markets have been analysed through the Stackelberg concept and modelled via bi-level programming. However, previous bi-level models have captured...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IET generation, transmission & distribution Jg. 13; H. 18; S. 4099 - 4113
Hauptverfasser:	Kaheh, Zohreh, Kazemzadeh, Reza Baradaran, Sheikh-El-Eslami, Mohammad Kazem
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	The Institution of Engineering and Technology 17.09.2019
Schlagworte:	balancing market balancing markets bi‐level programming cooperative bidding model day‐ahead market decision making demand response aggregator demand side management DR aggregator electricity markets flexiramp procurement problem fuzzy max–min technique fuzzy set theory game theory hourly locational marginal prices linearisation approaches minimax techniques multiple decision‐makers power markets previous bi‐level models pricing procurement real‐time market Research Article simultaneous consideration Stackelberg game stochastic programming two‐stage multiobjective bi‐level model wind farms wind generating units wind power plants flexiramp procurement problem Stackelberg game stochastic programming fuzzy set theory balancing markets balancing market minimax techniques hourly locational marginal prices power markets cooperative bidding model wind power plants real-time market simultaneous consideration bi-level programming DR aggregator electricity markets two-stage multiobjective bi-level model game theory fuzzy max–min technique wind farms day-ahead market previous bi-level models procurement decision making linearisation approaches demand side management pricing wind generating units demand response aggregator multiple decision-makers
ISSN:	1751-8687, 1751-8695
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!