Proceedings of the 2019 International Conference on Mathematics, Big Data Analysis and Simulation and Modelling (MBDASM 2019)

Study on Time-of-Use Power Price on Demand Side Based on Game Theory

Authors
Ruixin Chen, Wei Liu, Hao Yu
Corresponding Author
Ruixin Chen
Available Online October 2019.
DOI
10.2991/mbdasm-19.2019.16How to use a DOI?
Keywords
Demand response; TOU price; game theory; energy Internet strategy
Abstract

Demand response plays an important role in realizing power supply and demand balance as well as optimizing resource allocation. In an increasingly open market environment, it is necessary to study the interests of each participant in demand response and formulate a reasonable and effective response mechanism. In this paper, the incomplete information game relationship between the Power Company and its users is established to solve the problem of Time-of-Use(TOU) power price on the demand side. According to the relationship between electricity consumption and electricity price featuring multiple feedbacks, the Power Company can gradually determine the responsiveness of its users based on Bayesian law, and obtain the optimal TOU price with the goal of maximizing revenue. Finally, the rationality of the model and its advantages in fully mobilizing user enthusiasm for participation and optimizing the load curve can be verified through analysis and comparison of examples.

Copyright
© 2019, 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 2019 International Conference on Mathematics, Big Data Analysis and Simulation and Modelling (MBDASM 2019)
Series
Advances in Computer Science Research
Publication Date
October 2019
ISBN
978-94-6252-811-6
ISSN
2352-538X
DOI
10.2991/mbdasm-19.2019.16How to use a DOI?
Copyright
© 2019, 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  - Ruixin Chen
AU  - Wei Liu
AU  - Hao Yu
PY  - 2019/10
DA  - 2019/10
TI  - Study on Time-of-Use Power Price on Demand Side Based on Game Theory
BT  - Proceedings of the 2019 International Conference on Mathematics, Big Data Analysis and Simulation and Modelling (MBDASM 2019)
PB  - Atlantis Press
SP  - 67
EP  - 71
SN  - 2352-538X
UR  - https://doi.org/10.2991/mbdasm-19.2019.16
DO  - 10.2991/mbdasm-19.2019.16
ID  - Chen2019/10
ER  -