Study on economic dispatching of wind power consumption considering dynamic game time-of-use price
Fang Xi, Yuan An, Qian Wei, Jiang Yao, Yuyao Wang
Available Online June 2017.
- https://doi.org/10.2991/gcmce-17.2017.1How to use a DOI?
- Time-of-use price, Dynamic game, Wind power consumption.
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 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 - https://doi.org/10.2991/gcmce-17.2017.1 ID - Xi2017/06 ER -