摘要
将模拟树木生长算法应用于电力系统无功优化,对目标函数及约束条件处理方便,且不需要给出很多优化参数.建立无功优化的数学模型,变步长和最优解保留策略的应用提高了算法的全局寻优能力和寻优速度.IEEE 30节点系统的计算分析结果表明,模拟树木生长算法有较强的收敛稳定性,是处理无功优化问题的一种可行的、有效的方法.
Trees growth simulation algorithm （TGSA） is a kind of bionics random algorithm, and this algorithm simulates phototropism theory of trees, and takes globally optimal solution as light source. Trees growth simulation algorithm is applied to power system reactive power optimization and it can conveniently deal with objective function and constraint condition and doesn＇t need giving many optimization parameters. The use of variety pedometer and optimal solution hold strategy increases algorithm＇ s global optimization ability and optimization speed. The results of calculation and analysis of IEEE 30 - bus system show that trees growth simulation algorithm has strong global optimization ability and convergence stability, which is a feasible and effective method to deal with reactive power optimization.
出处
《郑州大学学报（工学版）》
CAS
2008年第2期69-72,共4页
Journal of Zhengzhou University（Engineering Science）
基金
河南省教育厅自然科学基金项目(2004601067)
关键词
无功优化
模拟树木生长算法
变步长
最优解保留策略
reactive power optimization
trees growth simulation algorithm
variety pedometer
optimal solutionhold strategy
