搜寻者优化算法在电容器功率配置中的应用
发布时间：2018-11-28 19:47
【摘要】：电容器的优化配置对于功率网络的良好运行具有重要意义。针对搜寻者优化算法(SOA)在后期寻优中易陷入局部极值的问题,提出了一种改进型SOA。引入模拟退火算法,通过设置玻尔兹曼模拟退火算子选择新解来增强算法的全局搜索能力。将改进后的算法对功率网络进行优化配置,建立相应的电容器优化配置模型。改进后的SOA对于此类问题的求解具有可行性与有效性。
[Abstract]:The optimal configuration of capacitors is of great significance for the good operation of power networks. Aiming at the problem that (SOA), a searcher optimization algorithm, is prone to fall into local extremum in late optimization, an improved SOA. is proposed. A simulated annealing algorithm is introduced to enhance the global search ability of the algorithm by setting Boltzmann simulated annealing operator to select a new solution. The improved algorithm is used to optimize the configuration of power network and the optimal configuration model of capacitors is established. The improved SOA is feasible and effective for solving such problems.
【作者单位】： 宁夏工商职业技术学院;温州大学;
【分类号】：TM53
[Abstract]:The optimal configuration of capacitors is of great significance for the good operation of power networks. Aiming at the problem that (SOA), a searcher optimization algorithm, is prone to fall into local extremum in late optimization, an improved SOA. is proposed. A simulated annealing algorithm is introduced to enhance the global search ability of the algorithm by setting Boltzmann simulated annealing operator to select a new solution. The improved algorithm is used to optimize the configuration of power network and the optimal configuration model of capacitors is established. The improved SOA is feasible and effective for solving such problems.
【作者单位】： 宁夏工商职业技术学院;温州大学;
【分类号】：TM53
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