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Proceedings of the 2nd International Conference on Green Communications and Networks 2012 (GCN 2012): Volume 1 pp 161–167Cite as

Agent-Based Risk Simulation System Design Model for Generation-Side Electricity Market

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 223))

Abstract

In the background of searching a way for China’s electricity market reformation, a lot of researchers make focus on the stage of opening the generation side stage. Based on the detailed analysis of its structure, this paper first describes the generation side electricity market operating model. And then a risk-based simulation system based on multi-agent technology is designed. By considering some of the issues that need to be paid attention in the traditional simulation process of electricity market, a risk-based simulation analysis software structure is schemed out. It can provide some technical support for market simulation system designers.

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References

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Acknowledgments

This research was supported by the National Natural Science Foundation of China under Grant 71071054 and “211 Project” of North China Electric Power University.

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Authors and Affiliations

  1. School of Economic and Management, North China Electric Power University, Beijing, China

    Xian Li & Cunbin Li

Authors
  1. Xian Li
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  2. Cunbin Li
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Corresponding author

Correspondence to Xian Li .

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Editors and Affiliations

  1. , Department of Electronic Engineering, Shanghai Jiao Tong University, Dongchuan Road 800, Shanghai, 200240, China, People's Republic

    Yuhang Yang

  2. , Electrical & Electronic Engineering, Nanyang Technological University, Nanyang Avenue, Singapore, 639798, Singapore

    Maode Ma

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© 2013 Springer-Verlag Berlin Heidelberg

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Li, X., Li, C. (2013). Agent-Based Risk Simulation System Design Model for Generation-Side Electricity Market. In: Yang, Y., Ma, M. (eds) Proceedings of the 2nd International Conference on Green Communications and Networks 2012 (GCN 2012): Volume 1. Lecture Notes in Electrical Engineering, vol 223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35419-9_20

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  • DOI: https://doi.org/10.1007/978-3-642-35419-9_20

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35418-2

  • Online ISBN: 978-3-642-35419-9

  • eBook Packages: EngineeringEngineering (R0)

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