This paper proposes an optimal over-frequency generator tripping strategy aiming at implementing the least amount of generator tripping for the regional power grid with high penetration level of wind/photovoltaic(PV),...This paper proposes an optimal over-frequency generator tripping strategy aiming at implementing the least amount of generator tripping for the regional power grid with high penetration level of wind/photovoltaic(PV),to handle the over-frequency problem in the sending-end power grid under large disturbances.A steady-state frequency abnormal index is defined to measure the degrees of generator over-tripping and under-tripping,and a transient frequency abnormal index is presented to assess the system abnormal frequency effect during the transient process,which reflects the frequency security margin during the generator tripping process.The scenariobased analysis method combined with the non-parametric kernel density estimation method is applied to model the uncertainty of the outgoing power caused by the stochastic fluctuations of wind/PV power and loads.Furthermore,an improved fireworks algorithm is utilized for the solution of the proposed optimization model.Finally,the simulations are performed on a real-sized regional power grid in Southern China to verify the effectiveness and adaptability of the proposed model and method.展开更多
基金This work was supported in part by the National Natural Science Foundation of China(No.51777103).
文摘This paper proposes an optimal over-frequency generator tripping strategy aiming at implementing the least amount of generator tripping for the regional power grid with high penetration level of wind/photovoltaic(PV),to handle the over-frequency problem in the sending-end power grid under large disturbances.A steady-state frequency abnormal index is defined to measure the degrees of generator over-tripping and under-tripping,and a transient frequency abnormal index is presented to assess the system abnormal frequency effect during the transient process,which reflects the frequency security margin during the generator tripping process.The scenariobased analysis method combined with the non-parametric kernel density estimation method is applied to model the uncertainty of the outgoing power caused by the stochastic fluctuations of wind/PV power and loads.Furthermore,an improved fireworks algorithm is utilized for the solution of the proposed optimization model.Finally,the simulations are performed on a real-sized regional power grid in Southern China to verify the effectiveness and adaptability of the proposed model and method.
