DocumentCode
3601760
Title
Long-Term Market Equilibrium in Smart Grid Paradigm With Introducing Demand Response Provider in Competition
Author
Tafreshi, Seyed Masoud Moghaddas ; Lahiji, Azim Saliminia
Author_Institution
Fac. of Eng., Guilan Univ., Rasht, Iran
Volume
6
Issue
6
fYear
2015
Firstpage
2794
Lastpage
2806
Abstract
With introducing demand response provider (DRP) in smart grid paradigm, small consumers can actively participate in various demand response programs, especially price-based programs. This newly important matter can significantly affect the power system problems, such as expansion planning. Accordingly, consideration of small consumers via DRP in long-term market equilibrium can be notably useful. This paper proposes a bi-level game framework with iterating between master and slave level to find the long-term market equilibrium in the pool-based market, including opponent generation companies (GenCos), DRP, and independent system operator (ISO). In the master level, a set of investment decisions are generated. Then, the system information is updated and the market is cleared in the slave level. After evaluating all decision-making options, the ISO selects the best option based on a tradeoff analysis. The proposed method is examined on a system with one DRP and two GenCos under ISOs supervision.
Keywords
decision making; game theory; power generation planning; power markets; smart power grids; GenCos; ISO supervision; bi-level game framework; decision-making options; demand response provider; independent system operator; long-term market equilibrium; opponent generation companies; pool-based market; power system problems; price-based programs; smart grid paradigm; Game theory; Investment; Pwer system planning; Smart meters; Advanced metering infrastructure (AMI); demand response provider (DRP); expansion planning; game theory; long-term market equilibrium; smart grid; supply function equilibrium (SFE);
fLanguage
English
Journal_Title
Smart Grid, IEEE Transactions on
Publisher
ieee
ISSN
1949-3053
Type
jour
DOI
10.1109/TSG.2015.2413951
Filename
7078923
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