基于改进BBO优化算法和电网生存性的核心骨干网架构建

发布时间：2018-04-24 03:16

本文选题：核心骨干网架 + 电网生存性　；参考：《中国电机工程学报》2014年16期

【摘要】：构建核心骨干网架,对于有针对性地加强电网结构建设、提高电网抵御自然灾害能力、合理科学地进行差异化电网规划具有重要的指导作用。基于生存性指标体系,提出一种线路总长度最小、生存性综合指标最大的核心骨干网架构建方法,以网络连通性和电网安全运行为约束条件,采用引入余弦迁移模型、早熟判断机制以及变尺度混沌和柯西变异策略的改进生物地理学优化算法(improved biogeographybased optimization algorithm,IBBO)搜索最优骨干网架方案,并与传统的生物地理学优化算法(biogeography-based optimization algorithm,BBO)、粒子群算法(particle swarm optimization,PSO)、蚁群算法(binary ant colony algorithm,BACA)、遗传算法(genetic algorithm,GA)的搜索结果进行对比分析。仿真算例表明,所提方法准确有效,且具有收敛速度快和收敛精度高的优点。
[Abstract]:The construction of the core backbone grid structure plays an important guiding role in strengthening the construction of power network structure, improving the ability of resisting natural disasters, and carrying out reasonable and scientific differentiated power network planning. Based on the survivability index system, this paper presents a construction method of core backbone network frame with minimum total line length and maximum survivability comprehensive index. Taking network connectivity and grid security operation as constraints, a cosine migration model is introduced. An improved Biogeography Optimization algorithm, improved Biogeography Optimization algorithm biogeographybased optimization algorithm, searches for the optimal backbone Grid Scheme, based on the mechanism of precocious judgement and the strategy of variable scale chaos and Cauchy mutation. The results are compared with those of traditional biogeography-based optimization algorithm, particle swarm optimization algorithm, ant colony algorithm binary ant colony algorithm and genetic algorithm. The simulation results show that the proposed method is accurate and effective, and has the advantages of fast convergence speed and high convergence accuracy.
【作者单位】：武汉大学电气工程学院;
【基金】：国家电网公司大电网重大专项资助项目课题(SGCC-MPLG029-2012) 国家自然科学基金项目(51207114) 中央高校基本科研业务费专项基金(2012207020207)~~
【分类号】：TM732

【参考文献】