基于经验分享免疫算法的电力系统配电网区段定位方法

Fault Section Location of Power System Distribution Network Based on Experience Sharing Immune Algorithm

现有基于免疫算法的区段定位方法由于没有经验分享机制,导致其定位速度较差,为了解决此问题,提出一种基于经验分享免疫算法的区段定位方法。该方法利用亲和度高、浓度低的抗体更新记忆库,还利用经验交流算子更新记忆库,使免疫算法的抗体之间能够分享免疫经验,加快了免疫反应的进程。通过在配电网的仿真,验证了所提定位方法的有效性。

Existing immune algorithm-based segment positioning methods have poor experience in positioning speed and fault tolerance due to lack of experience sharing mechanism.In order to solve this problem,a segment location method based on experience sharing immune algorithm is proposed.In addition to updating the memory bank with antibodies with high affinity and low concentration,this method also uses the exchange operator to update the memory bank.As a result,immune algorithm antibodies can share immune experience and speed up the process of immune response.The simulation of the distribution network validates the effectiveness of the proposed method.