Electric Power ›› 2016, Vol. 49 ›› Issue (5): 163-170.DOI: 10.11930/j.issn.1004-9649.2016.05.163.08

• Power System • Previous Articles     Next Articles

Risk-Constrained Day-Ahead Scheduling Optimization Model of Hydro-Wind Power Generation

ZHANG Wei, LI Dan, ZHANG Xiangyu, LI Jiayu, TAN Zhongfu   

  1. Institute of Energy Economics and Environment, North China Electric Power University, Beijing 102206, China
  • Received:2016-02-04 Online:2016-05-16 Published:2016-05-16
  • Supported by:
    This work is supported by National Natural Science Foundation of China (No.71273090, No.71573084).

Abstract: In order to overcome the influence of wind power on power system operation, peak shaving is introduced. The wind power output and cascaded hydroelectric unit model are modeled at first. Based on hydro-wind coordination constraints, a day-ahead scheduling optimization model is built with consideration of risk constraint. A heuristic algorithm is applied to linearize proposed model. At last, a simulation system is built with three wind farms and seven hydroelectric power stations in two basins. The simulation results show that proposed hydro-wind coordination strategy can be used to increase wind power generation and reduce operation risks. Both internal and external uncertain factors need to be integrated into the joint scheduling optimization of hydro-wind power generation, which is essential for obtaining optimization solution considering both system operation benefits and risks.

Key words: wind power, hydropower, day-ahead scheduling, risk, optimization model

CLC Number: