Typhoon is an important factor leading to offshore wind power ramp events, which can easily cause a serious imbalance between the supply and the demand, thus affecting the security and stability of the power system operation. First, based on the actual typhoon path, this paper analyzes its impact on the output characteristics of offshore wind farms and proposes a framework to mitigate the impact of wind power ramping. On this basis, an ordered curtailment strategy for large-scale offshore wind power systems, considering the resilience of the grid, is proposed. With the goals of system safety, stability and operational economy, wind power ramp data are utilized to optimize the ordered curtailment of offshore wind power, considering wind power curtailment, the adjustment ability of generators and the demand response. The simulation analysis of the IEEE-RTS24 node system shows that the proposed strategy can reduce the operating cost of the system while ensuring its security and stability. INDEX TERMS Wind power ramping, security and stability of power system operation, grid resilience, ordered curtailment strategy for offshore wind power.

No abstract

This paper aims at the problem of the generalized modeling considering the capacity limitation of inverter. Firstly, how the inverter capacity limitation can influence the generalized load fault response of the grid-connected point was analyzed. Then, the idea of fitting the piecewise function was proposed and applied to the training process of the generalized load artificial with neural network class model. To be clearer, fault samples were jointly trained at the same time to learn different segmentation characteristics. The modeling and simulation results show that the proposed method can improve the generalization ability and stability of the artificial neural network class model in generalized load modeling.

No abstract

No abstract