±320 kV直流GIL微粒陷阱关键结构参数分析及优化

Key Parameter Analysis and Structure Optimization of Particle Trap inμ320 kV DC GIL

气体绝缘输电线路(gas insulated metal-enclosed transmission line,GIL)中设置上提式微粒陷阱是目前最常用的微粒抑制措施,能有效捕捉微粒并限制其运动。为使微粒陷阱捕获效果达到最佳,提出了直流电压下微粒陷阱捕获效能的有限元计算方法,研究分析了不同结构参数对上提式微粒陷阱的电场分布特性和捕获效率的影响;以此为基础,提出了上提式微粒陷阱优化设计的约束条件,结合混沌粒子群算法,联合调用COMSOL及MATLAB对微粒陷阱的结构进行优化。结果表明:一定范围内陷阱的提升高度及厚度越大,栅格的宽度越小,对内部电场的屏蔽效果越好;增大陷阱的厚度,提升高度、长度以及分布角,选取适当范围的挡板与栅格的宽度比有助于提高微粒陷阱的捕获率;优化设计后的上提式微粒陷阱可达74.16%,较优化前提升53.36%,并通过缩比装置的微粒捕获试验验证了仿真计算规律的有效性。该研究结果和优化方法可有效提升陷阱对微粒的抑制作用,为直流GIL及GIS母线微粒陷阱的结构设计提供技术支撑。

Setting lifting particle traps in GIL is currently the most commonly used measure for common particle containment,which can effectively trap particles and restrict their movement.To achieve the best capture effect of particle trap,a finite element calculation method of particle trap capture energy efficiency under DC voltage is proposed in this paper.The effects of different structural parameters on the electric field distribution characteristics and capture efficiency of lifting particle trap were studied and analyzed.On this basis,the constraints of the optimization design of the lifting particle trap were proposed.Combined with the chaotic particle swarm optimization algorithm,COMSOL and MATLAB were used to optimize the structure of the particle trap.The results show that the larger the lifting height and thickness of the trap in a certain range is,and the smaller the width of the grid is,the better the shielding effect on the internal electric field will be.Increasing the thickness,lifting height,length and distribution angle of the trap and selecting the width ratio of the baffle to the grid in an appropriate range are helpful to improve the capture rate of the particle trap.After optimization,the capture rate of lifting particle trap can reach 74.16%,which is 53.36%higher than before.The reliability of the calculations is verified through particle capture tests with the scaling model.The results and optimization methods in this paper can effectively improve the capture effect of traps on particles,and provide technical support for the structural design of particle traps for DC GIL and GIS bus.