Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering

Electricity Market Long-term Equilibrium Modeling Based on System Dynamics under Uncertain Conditions

Authors
Daoxin Liu
Corresponding Author
Daoxin Liu
Available Online February 2016.
DOI
10.2991/iccsae-15.2016.33How to use a DOI?
Keywords
System Dynamics, Uncertain Conditions, Electricity Market, Long-term Equilibrium
Abstract

Recent years, with changes in energy security, climate crisis, environmental protection and other social environment, investment and construction of the electricity market must be improved on the basis of the original design on the market to adapt to the new trend of social development. Based on a series of assumptions, this paper uses system dynamics model to analyze electricity market, and then make a case study which contains hard coal (HC), combined cycle gas turbine (CCGT) and gas turbines (GT) three power technologies used to supply base load, middle load and peak load. Finally, get the relationship between price, cost and investment in order to promoting the efficient allocation of power resources.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering
Series
Advances in Computer Science Research
Publication Date
February 2016
ISBN
978-94-6252-156-8
ISSN
2352-538X
DOI
10.2991/iccsae-15.2016.33How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Daoxin Liu
PY  - 2016/02
DA  - 2016/02
TI  - Electricity Market Long-term Equilibrium Modeling Based on System Dynamics under Uncertain Conditions
BT  - Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering
PB  - Atlantis Press
SP  - 166
EP  - 169
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccsae-15.2016.33
DO  - 10.2991/iccsae-15.2016.33
ID  - Liu2016/02
ER  -