基于纵横交叉算法的新型电力系统惯量延迟优化控制策略

A Novel Inertia Delay Optimization Control Strategy for New Power Systems Based on Crisscross Optimization

以同步发电机为主导的电力系统正在演变为以虚拟同步机(virtual synchronous generator,VSG)为主导的新型电力系统,电力系统的动态特性发生了重大变化。现阶段,绝大多数文献的研究场景是在无穷大电源的基础下,分析单机或多机并网系统的动态特性,对全部虚拟同步机为主导的电力系统动态特性研究较少。因此,先建立了全部虚拟同步机为主导的三机九节点系统的模型,通过微分方程仿真得到系统的动态特性曲线。然后,利用纵横交叉算法(crisscross optimization,CSO),延迟优化新型电力系统惯量,并与无优化控制系统作对比,在系统发生扰动后,优化后的系统振荡幅值变小,调节时间变小。最后,通过仿真验证了上述结论的正确性。

The power system,traditionally dominated by synchronous generators,is evolving into a new power system where virtual synchronous generators(VSGs)take the lead.This transition results in significant changes in the system's dynamic characteristics.Currently,most literature focuses on analyzing the dynamic behaviors of standalone or multi-machine grid systems based on an assumption of infinite power supply,with limited research on the dynamic characteristics of new power systems dominated entirely by VSGs.Therefore,this study first builds a model of a three-machine,nine-node system where VSGs are the primary controllers and conducts transient simulations using differential equations.Subsequently,the crisscross optimization(CSO)algorithm is employed to optimize the inertia delay in the new power system.A comparison is made between the optimized control system and the non-optimized system.The results demonstrate that the optimized system exhibits reduced oscillation amplitude and shorter adjustment times after disturbances occur.Through simulations,the validity of the conclusions is verified.