Study on economic dispatching of wind power consumption considering dynamic game time-of-use price

DOI

10.2991/gcmce-17.2017.1How to use a DOI?

Keywords

Time-of-use price, Dynamic game, Wind power consumption.

Abstract

In the view of the anti-peaking characteristics of wind power, the electric power companies and the users were selected as the object to study and formulate reasonable demand side hourly price mechanism and the demand response model was established based on dynamic game time-of-use price. Proposed model combined with the scheduling optimization of wind power, thermal power and demand response of the three kinds of power generation resources to improve absorptive capacity of wind power and reduce the cost of the system scheduling, and the model mentioned above was solved by an improved particle swarm algorithm in which the simulated annealing theory was introduced. Simulation results showed that compared with the scheduling optimization model under fixed time-of-use electricity price, the model adopted in this paper could effectively reduce the amount of abandoned wind, enhance the running level of the unit and the economy of the system, and prove the effectiveness of the model.

Copyright

© 2017, 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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TY  - CONF
AU  - Fang Xi
AU  - Yuan An
AU  - Qian Wei
AU  - Jiang Yao
AU  - Yuyao Wang
PY  - 2017/06
DA  - 2017/06
TI  - Study on economic dispatching of wind power consumption considering dynamic game time-of-use price
BT  - Proceedings of the 2017 Global Conference on Mechanics and Civil Engineering (GCMCE 2017)
PB  - Atlantis Press
SP  - 1
EP  - 8
SN  - 2352-5401
UR  - https://doi.org/10.2991/gcmce-17.2017.1
DO  - 10.2991/gcmce-17.2017.1
ID  - Xi2017/06
ER  -