基于阈值选择策略的改进混合蛙跳算法在电网规划中的应用  

Application of improved shuffled frog leaping algorithm based on threshold selection strategy in transmission network planning

作　　者：王茜[1] 张粒子[1] 舒隽[1] 王楠[1] 

机构地区：[1]华北电力大学电气与电子工程学院,北京102206

出　　处：《电力系统保护与控制》2011年第3期34-39,共6页Power System Protection and Control

基　　金：国家科技支撑计划(2008BAA13B11)~~

摘　　要：利用混合蛙跳算法(SFLA)具有高效计算性能和优良全局搜索能力的优势,针对其侧重于解决连续性问题以及易陷入局部最优解的不足,通过对混合蛙跳算法的解向量进行离散化处理并采用阈值选择策略,提出了适用于电网规划的一种基于阈值选择策略的改进混合蛙跳算法(ISFLA)。算例应用结果表明,与粒子群算法(PSO)相比,所提算法能够在较小的计算规模和较短的计算时间内得到全局最优解。通过进一步分析不同阈值对算法收敛速度的影响可以看出,应针对不同的电网规模及扩展规划范围选择合理的阈值,以此提高ISFLA的收敛速度和电网规划的有效性。Shuffled Frog Leaping Algorithm（SFLA） has fast calculation speed and excellent global search capability,which is good at solving sequential problem and can fall into local optimal solution easily.Through the discretization of solution vector and using threshold selection strategy,an improved shuffled frog leaping algorithm based on threshold selection strategy（ISFLA） for transmission network planning is presented.The contrast results of studies by PSO and ISFLA show that the proposed ISFLA can acquire global optimization with smaller calculation size and shorter computing time.Through the analysis of impact on convergence rate under different thresholds,it can be seen that the reasonable threshold should be chosen for different grid sizes and different scales of expansion planning,which can raise ISFLA＇s convergence speed and the effectiveness of transmission network planning.

关 键 词：电力系统 电网规划 混合蛙跳算法 离散 阈值选择策略 

分 类 号：TM715[电气工程—电力系统及自动化]