To improve accuracy and efficiency in power systems dynamic modeling,the distributed online modeling approach is a good option.In this approach,the power system is divided into sub-grids,and the dynamic models of the sub-grids are built independently within the distributed modeling system.The subgrid models are subsequently merged,after which the dynamic model of the whole power system is finally constructed online.The merging of the networks plays an important role in the distributed online dynamic modeling of power systems.An efficient multi-area networks-merging model that can rapidly match the boundary power flow is proposed in this paper.The iterations of the boundary matching during network merging are eliminated due to the introduction of the merging model,and the dynamic models of the sub-grid can be directly“plugged in”with each other.The results of the calculations performed in a real power system demonstrate the accuracy of the integrated model under both steady and transient states.
With the integration of renewable power and electric vehicle,the power system stability is of increasing concern because the active power generated by the renewable energy and absorbed by the electric vehicle vary randomly.Based on the deterministic differential equation model,the nonlinear and linear stochastic differential equation models of power system under Gauss type random excitation are proposed in this paper.The angle curves under different random excitations were simulated using Euler-Maruyama(EM) numerical method.The numerical stability of EM method was proved.The mean stability and mean square stability of the power system under Gauss type of random small excitation were verified theoretically and illustrated with simulation sample.
多个并网逆变器之间的交互影响给电网的稳定运行和电能质量带来负面影响。基于状态空间平均法建立了多并网逆变器传递函数模型,基于所建立的模型和相对增益矩阵原理,提出了一种多个并网逆变器电流控制回路之间交互影响的分析方法,使其能够定量地分析多并网逆变器电流控制回路之间的交互影响和系统频率、控制参数以及电网强度之间的关系。时域仿真和基于相对增益矩阵(relative gain array,RGA)原理分析方法的一致性,验证了该分析方法的有效性。
