Network frequency security scheduling with virtual inertia support of time-varying electric vehicle clusters
The rapid development of electric vehicles provides a new solution to the problem of frequency stability of pow-er grid with high permeability of renewable energy.In this paper,a two-layer scheduling strategy for electric vehi-cle cluster is established.The first layer is periodic optimization scheduling under fixed time interval.According to the overall running state of the current power system,the scheduler sets the optimal running point and the virtual inertia support task for the generator set and the electric vehicle cluster respectively in each dispatching cycle,so as to improve the frequency stability and operation economy of the system.The second layer is the real-time collabora-tive control inside the electric vehicle cluster.In this paper,the robust dynamic consistency algorithm is used to fairly allocate the virtual inertia response power to the electric vehicles on the network at the current time,so that the open time-varying electric vehicle cluster can realize the unbiased response to the upper-level scheduling in-struction(virtual inertia support task).Finally,simulation results show that the proposed strategy can effectively utilize the virtual inertia response of the electric vehicle cluster,improve the economy and stability of the system op-eration,as well as the stability of the whole virtual inertia response capability of the electric vehicle cluster.
open multi-agent systemelectric vehicleprimary frequency modulationrobust dynamic con-sensus algorithm
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