基于人工蜂群算法的电力弹簧优化配置方法

Optimal allocation method of electric spring based on artificial bee colony algorithm

针对配电网中大规模可再生能源的渗透,电力弹簧(electric spring,ES)作为一种新型的需求侧管理手段,将其与非关键负荷连接转换为智能负荷,可有效抑制电压越限。对ES的优化配置可以整体提高配电网运行的经济性与可靠性。文中提出了一种基于人工蜂群算法的ES优化配置方法,以电压偏差、线路损耗和投资成本最小化建立多目标优化模型。在改进的IEEE-33节点上进行算例分析,验证了该方法的有效性。结果表明,所提出的ES配置方法能够明显改善电压分布、降低线路损耗,从而显著提高配电网性能。

Regarding the penetration of large-scale renewable energy in distribution network,electric spring(ES),as a new demand side management(DSM)method,can effectively restrain the problem of voltage over limit by transforming its connection with non-critical load into intelligent load.The optimal configuration of ES can improve the overall economy and reliability of distribution network.In this paper,a method of optimal ES allocation based on artificial bee colony algorithm is proposed to minimize voltage deviation,line loss and investment cost,so as to establish a multi-target optimization model.The improved IEEE-33 node is taken as an example to verify the effectiveness of this method.The result shows that the proposed ES configuration method can significantly improve the voltage distribution and reduce the line loss,thus significantly improving the distribution network performance.