基于PMU及和声搜索算法的新能源配电网负载模型研究

The research of the new energy distribution network load model based on PMU and harmony search algorithm

文章提出了一种基于同步相量测量(PMU)数据并用于估算配电网负载模型的和声搜索算法(HSA)改进分布式测量。由于近年来分布式发电的发展,燃料电池和风力涡轮机等的接入使得配电网的拓扑结构进一步复杂。因此,需要通过改变传统的分布荷载模型来克服这个问题。估算模型不仅要在网络正常条件下和真实模型作出相同的反应,而且在网络故障和瞬态条件下是有效的。本中,负荷模型及其相应的方程已被修改。双反馈感应电机(DFIM)的参数估算以及在网络频率变化情况下负载电源的可靠性都包含在模型中。该模型在Matlab/Simulink环境下进行仿真验证该算法的有效性。

In this paper, a new technique, which is based on PMU measurements data, for estimation of the improved distribution measurement of harmony search algorithm （HSA） in distribution network load model is proposed. With the development of distributed generations in recent years, the Distribution network loads reveal some complicated be- havior as these networks are connected to distributed generations （DG） such as fuel cells or wind turbines which im- plements modem electrical machines. Therefore, the conventional models of the distribution loads should be modified to overcome this problem. The estimation model is not 0nly to make the same reaction with the real model under the normal network conditions, also is effective under the conditions of network fault and transient state. The load model and its relative equations have been modified in this paper. Estimation of the double fed induction machine （DFIM） parameters and load power-dependability to network frequency change are included in the model. The effectiveness of the proposed model is simulated in Matlab/Simulink software under some normal and abnormal conditions of the network.