电力系统保护与控制2011，Vol.39Issue(3)：34-39,6.
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
摘要
Abstract
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.This work is supported by the National Key Technology R & D Program (No. 2008BAA13B11).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Key words
power system/ transmission network planning: shuffled frog leaping algorithm: discreteness: threshold selection strategy分类
信息技术与安全科学引用本文复制引用
王茜,张粒子,舒隽,王楠..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[J].电力系统保护与控制,2011,39(3):34-39,6.基金项目
国家科技支撑计划(2008BAA13B11) （2008BAA13B11）
