DocumentCode :
1373453
Title :
Agent-Based Electricity Market Simulation With Demand Response From Commercial Buildings
Author :
Zhou, Zhi ; Zhao, Fei ; Wang, Jianhui
Author_Institution :
Argonne Nat. Lab., Argonne, IL, USA
Volume :
2
Issue :
4
fYear :
2011
Firstpage :
580
Lastpage :
588
Abstract :
With the development of power system deregulation and smart metering technologies, price-based demand response (DR) becomes an alternative solution to improving power system reliability and efficiency by adjusting the load profile. In this paper, we simulate an electricity market with DR from different types of commercial buildings by using agent-based modeling and simulation (ABMS) techniques. We focus on the consumption behavior of commercial buildings with different levels of DR penetration in different market structures. The results indicate that there is a noticeable impact from commercial buildings with price-responsive demand on the electricity market, and this impact differs with different scales of DR participation under different levels of market competitions.
Keywords :
power engineering computing; power markets; agent-based electricity market simulation; agent-based modeling and simulation techniques; commercial buildings; demand response; power system deregulation; smart metering technologies; Cost function; Electricity supply industry; Energy consumption; Load modeling; Power system planning; Agent-based modeling and simulation; building stock modeling; demand response; electricity market; smart grid;
fLanguage :
English
Journal_Title :
Smart Grid, IEEE Transactions on
Publisher :
ieee
ISSN :
1949-3053
Type :
jour
DOI :
10.1109/TSG.2011.2168244
Filename :
6075309
Link To Document :
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