摘要
ICPT系统由于其特殊的结构形式,导致该系统漏电量大、传输效率低.针对此问题,提出采用改进遗传算法对系统谐振参数进行优化的解决方案.首先,建立了基于TS-S型补偿网络ICPT系统的非线性规划数学模型,并利用频率稳定性约束条件修正系统频率,保证系统稳定可靠;其次,运用快速非支配算法(nondominated sorting genetic algorithm II,NSGA-II),引入拥挤度比较运算算子进行谐振参数优化,最终实现传输效率最大化.仿真实验结果表明,NSGA-II算法能够更好地突破局部最优解的局限性,快速找到系统的全局最优参数,优化系统的最高传输效率可达97.2%.
Since some problems such as large leakage current and low transmission efficiency are caused by the special structural form of the ICPT system,this paper proposes a solution to optimize the system resonance parameters by using the improved genetic algorithm.First,a nonlinear programming mathematical model of ICPT system based on TS-S compensation network is established and the system frequency is corrected by using the frequency stability constraints to insure the stability and reliability of the system.Then the transmission maximum efficiency is realized by introducing non-dominated sorting genetic algorithm(NSGA-II) and the congestion degree comparison operator to optimize the resonance parameters.The simulation and experimental results show that NSGA-II algorithm can well break through the limitations of the local optimal solution and quickly get the global optimal parameters of the system,while the maximum transmission efficiency of the optimized system can reach 97.2%.
作者
靳夏
李欣
JIN Xia;LI Xin(School of Automation&Electrical Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China;School of New Energy&Power Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China)
出处
《兰州交通大学学报》
CAS
2019年第2期58-66,共9页
Journal of Lanzhou Jiaotong University
