Peak Load Regulation Compensation Based Energy Management Strategy Considering New Energy Power Output Randomness

Under the framework of multi-agent communication, a capacity allocation strategy that can ensure system flexibility and peak-load regulating units' cost recovery is proposed in this paper. Firstly, the randomness of different wind power scenarios is updated by Weibull PDFs, and the ramp rate of traditional units is coupled. Furthermore, a new peak-load regulating compensation mechanism is proposed to guarantee flexibility cost. Finally, the simulation results demonstrate that the energy management strategy proposed in this article can effectively satisfy the flexibility requirements of the system and stimulate the incentive of traditional power to provide flexibility.