A multi-agent system for households response to dynamic pricing

Author

Wu, Jiang ; Gao, Feng ; Kang, Zhixi

Author_Institution

SKLMS Lab., Xi´´an Jiaotong Univ., Xi´´an, China

fYear

2012

fDate

21-24 May 2012

Firstpage

1

Lastpage

5

Abstract

Demand response behaviors of retailers are very important for dynamic pricing mechanism design and analysis. This paper presents a multi-agent system to simulate the household response to dynamic pricing. In each household, the best activities under real time pricing for every major electricity devices with their own characteristics and flexibilities are formulated as mixed integrated linear programming problems. Then a Markov gaming framework is used to analysis the response behavior of each household. Some study cases show the households response behavior in different situations.

Keywords

Markov processes; consumer behaviour; linear programming; multi-agent systems; power engineering computing; power system economics; pricing; Markov gaming framework; consumer behavior; demand response behaviors; dynamic pricing; households response behavior; mixed integrated linear programming; multiagent system; real time pricing; Educational institutions; Electricity; Load management; Multiagent systems; Pricing; Real time systems; Water heating; Demand Response; Dynamic Pricing; Game Theory; Multi-agent; Q-learning;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovative Smart Grid Technologies - Asia (ISGT Asia), 2012 IEEE

Conference_Location

Tianjin

Print_ISBN

978-1-4673-1221-9

Type

conf

DOI

10.1109/ISGT-Asia.2012.6303204

Filename

6303204