DocumentCode
3084895
Title
A Dynamic Multi-agent Simulation System for Power Economy
Author
Tian, Jianwei ; Wu, Junyong ; Hu, Zhaoguang ; Xu, Minjie
Author_Institution
Sch. of Electr. Eng., Beijing Jiaotong Univ., Beijing
fYear
2009
fDate
25-27 March 2009
Firstpage
35
Lastpage
40
Abstract
Economic development is faced with the challenge of global financial crisis currently, and power economy is affected inevitably. To quantitatively evaluate the impact of financial crisis on power economy, a power economy simulation model of econometric model is proposed in this paper, and a dynamic simulation platform based on the proposed model named dynamic power economy simulation system (DPESS) is developed by multi-agent system. Agents DPESS involved consist of four categories: industry agent, government agent, market agent and resident agent. It provides to the policy makers a useful tool to evaluate the influence of economic uncertainty such as global financial crisis and to evaluate the effect of policy regulation impacting on the total electricity consumption. By simulating three different scenarios on electricity consumption, minor and discrete policy regulation is proposed.
Keywords
econometrics; multi-agent systems; power consumption; power engineering computing; power system economics; power system simulation; dynamic multiagent simulation system; dynamic power economy simulation system; dynamic simulation platform; econometric model; economic development; economic uncertainty; electricity consumption; global financial crisis; government agent; industry agent; market agent; multiagent system; policy makers; policy regulation; power economy simulation model; resident agent; Computational modeling; Computer simulation; Econometrics; Energy consumption; Environmental economics; Government; Multiagent systems; Power generation economics; Power system economics; Power system modeling; dynamical power economy simulation system; multi-agent; policy regulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Modelling and Simulation, 2009. UKSIM '09. 11th International Conference on
Conference_Location
Cambridge
Print_ISBN
978-1-4244-3771-9
Electronic_ISBN
978-0-7695-3593-7
Type
conf
DOI
10.1109/UKSIM.2009.17
Filename
4809734
Link To Document