基于改进蚁群算法的新型AVC策略

A Novel AVC Strategy Based on Improved Ant Colony Algorithm

针对局部电网负荷特性变化导致电压波动幅度大、控制成本高等问题,提出一种基于改进蚁群算法的AVC策略。该策略基于无功补偿量、有功功率损耗、电压波动范围、电压控制成本和传输距离构建改进多目标函数,提高其综合寻优能力;通过信息素挥发量与时间的关系引入信息素挥发系数公式,并优化信息素浓度调整策略,减少模型运行时间。基于IEEE-33节点系统进行仿真,结果表明:所提改进蚁群算法将各节点电压稳定在0.98~1.02 pu范围内,相比现有方法电压偏差缩小5%左右,模型运行平均时长提高了38.58%左右;该新型AVC策略具有更好的电压控制精度和速度,可以适应实时控制要求,有效改善配电网电压水平。

To tackle the problems of high voltage fluctuation amplitude and high control cost due to the change of local grid load characteristics,this paper proposes an AVC strategy based on improved ant colony algorithm. Simulation experiments based on the IEEE-33 node system show that the improved AVC algorithm proposed in this paper helps to stabilize the voltage at each node in the range of 0.98~1.02 p.u.The voltage deviation is reduced by about 5% compared with the existing methods,and the average time of model operation is improved by about 38.58%. The research results show that the new AVC strategy proposed has better voltage control accuracy and speed, which can adapt to the real-time control requirements and effectively improve the voltage level of the distribution network.