作　　者： (李司琦）; (刘鑫）; (谭磊）;

机构地区： 湘潭大学信息工程学院,湘潭411105

出　　处： 《湖南工程学院学报（自然科学版）》 2017年第3期16-20,共5页

摘　　要： 为了实现V/v牵引供电系统中铁路功率调节器(Railway Static Power Conditioner,RPC)的容量优化,采用优化补偿方式,提出了3个补偿系数:有功电流转移量ΔIp,无功补偿角度φα,φβ.以负序电压不平衡度和功率因数为约束条件,RPC优化容量方程为目标函数,建立多维非线性带约束优化数学模型,为了解决带约束优化问题,采用粒子群算法(Particle Swarm Optimization,PSO),对于不断变化的负荷,都能有效使的RPC容量利用率达到最优效果.最后分别对RPC在完全补偿和优化补偿方式下进行仿真效果分析,结果表明该方法提高了RPC经济性. In order to realize the capacity optimization of the V/v railway power regulator traction power supply system （Railway Static Power Conditioner, RPC）, the optimized way of compensation is adopted, 3 compensation coefficients are proposed, active current transfer amount △Ip, reactive power compensation angle of φα,φβ. The negative sequence voltage unbalance and the power factor as the con- straint condition, optimization of RPC capacity equation as the objective function, the multidimensional nonlinear optimization mathematical model with constraints is established. In order to solve the constrained optimization problem, the particle swarm algorithm （Particle Swarm Optimization, PSO） is adopted for the changing load, which can effectively improve the capacity utilization of RPC to reach the best effect. Fi- nally, the simulation results of RPC are analyzed under the condition of full compensation and optimal comoensation. The results show that the oroposed method can improve the RPC economy.

关 键 词： 铁路功率调节器 容量优化 优化补偿