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...

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Bibliographic Details
Published in:IET generation, transmission & distribution Vol. 13; no. 18; pp. 4099 - 4113
Main Authors: Kaheh, Zohreh, Kazemzadeh, Reza Baradaran, Sheikh-El-Eslami, Mohammad Kazem
Format: Journal Article
Language:English
Published: The Institution of Engineering and Technology 17.09.2019
Subjects:
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 Access:Get full text
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Summary: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 the game only in the context of the day-ahead or real-time market. In this study, a stochastic two-stage multi-objective bi-level model for procurement problem in the day-ahead and balancing markets is proposed; in which the Stackelberg game is simultaneously considered in these markets. In each stage of the proposed model, multiple decision-makers including conventional and wind generating units as well as a demand response (DR) aggregator act as leaders, and independent system operator (ISO) acts as a follower. The presented model for DR aggregator determines some important parameters dynamically considering the hourly locational marginal prices and the behaviour of the small-size consumers. To solve the model, two reformulation schemes are presented: (i) a Karush Kuhn Tucker (KKT) method with some linearisation approaches and (ii) a fuzzy max–min technique. The proposed model is applied to the 24-bus IEEE test system to demonstrate the effects of the Stackelberg game in balancing market on the day-ahead market's equilibriums and benefits of implementing the proposed model in electricity markets.
ISSN:1751-8687
1751-8695
DOI:10.1049/iet-gtd.2018.6666