GIS设备在中国电网建设中占据着重要位置,设备的安全运行至关重要。在高压设备发生短路故障时,通过设备导体与壳体的短路电流峰值高达171 k A,这对设备的动稳定性和热稳定性都提出了苛刻的要求。针对接地回路,热稳定性考核通过理论计算...GIS设备在中国电网建设中占据着重要位置,设备的安全运行至关重要。在高压设备发生短路故障时,通过设备导体与壳体的短路电流峰值高达171 k A,这对设备的动稳定性和热稳定性都提出了苛刻的要求。针对接地回路,热稳定性考核通过理论计算即可满足要求,但对于动稳定性分析,由于空间结构复杂,理论计算较为困难。文中以小型化550 kV GIS用接地开关的接地回路为研究对象,基于Ansys 16.1的电磁场与结构场进行耦合分析,由电磁场得出接地回路的电流密度与磁通密度分布,给出各部位电动力密度云图,再导入结构场,对接地回路导流排的受力进行强度校核,最终完成导流排结构的优化。通过研究,对比不同结构的仿真结果,分析结构差异,提出了优化设计方案,为高压GIS接地回路的结构改进设计提供了理论基础。展开更多
To address the low accuracy and stability when applying classical control theory in distribution networks with distributed generation,a control method involving flexible multistate switches(FMSs)is proposed in this st...To address the low accuracy and stability when applying classical control theory in distribution networks with distributed generation,a control method involving flexible multistate switches(FMSs)is proposed in this study.This approach is based on an improved double-loop recursive fuzzy neural network(DRFNN)sliding mode,which is intended to stably achieve multiterminal power interaction and adaptive arc suppression for single-phase ground faults.First,an improved DRFNN sliding mode control(SMC)method is proposed to overcome the chattering and transient overshoot inherent in the classical SMC and reduce the reliance on a precise mathematical model of the control system.To improve the robustness of the system,an adaptive parameter-adjustment strategy for the DRFNN is designed,where its dynamic mapping capabilities are leveraged to improve the transient compensation control.Additionally,a quasi-continuous second-order sliding mode controller with a calculus-driven sliding mode surface is developed to improve the current monitoring accuracy and enhance the system stability.The stability of the proposed method and the convergence of the network parameters are verified using the Lyapunov theorem.A simulation model of the three-port FMS with its control system is constructed in MATLAB/Simulink.The simulation result confirms the feasibility and effectiveness of the proposed control strategy based on a comparative analysis.展开更多
基金the Natural Science Foundation of Fujian,China(No.2021J01633).
文摘To address the low accuracy and stability when applying classical control theory in distribution networks with distributed generation,a control method involving flexible multistate switches(FMSs)is proposed in this study.This approach is based on an improved double-loop recursive fuzzy neural network(DRFNN)sliding mode,which is intended to stably achieve multiterminal power interaction and adaptive arc suppression for single-phase ground faults.First,an improved DRFNN sliding mode control(SMC)method is proposed to overcome the chattering and transient overshoot inherent in the classical SMC and reduce the reliance on a precise mathematical model of the control system.To improve the robustness of the system,an adaptive parameter-adjustment strategy for the DRFNN is designed,where its dynamic mapping capabilities are leveraged to improve the transient compensation control.Additionally,a quasi-continuous second-order sliding mode controller with a calculus-driven sliding mode surface is developed to improve the current monitoring accuracy and enhance the system stability.The stability of the proposed method and the convergence of the network parameters are verified using the Lyapunov theorem.A simulation model of the three-port FMS with its control system is constructed in MATLAB/Simulink.The simulation result confirms the feasibility and effectiveness of the proposed control strategy based on a comparative analysis.
