سامانه همایش های دانشگاه آزاد اسلامی واحد نجف آباد

صفحه اصلی / ششمین کنفرانس بین المللی بهینه سازی مصرف انرژی الکتریکی

Application of Artificial Intelligence for Distribution Network Reconfiguration by Using D3QN Algorithm

نویسندگان :

Amirhossein Ghaemipour¹ Habib Rajabi Mashhadi² Seyed Hossein Mostafavi³

1- دانشگاه فردوسی مشهد 2- دانشگاه فردوسی مشهد 3- دانشگاه فردوسی مشهد

کلمات کلیدی :

Smart Distribution Network،Reconfiguration،Reinforcement Learning،Dueling Double Deep Q network (D3QN) Algorithm

چکیده :

Considering that the electricity industry is one of the most important industries in the world, it is necessary for electricity operators to seek to create conditions for the best performance in this industry. There are different solutions for this task. Distribution network Reconfiguring is one of the most cost-effective methods for electricity companies. Given the advancement of technology and methods in artificial intelligence, we use this structure in this article. Therefore, in this article, we focused on distribution network reconfiguring using the Dueling Double Deep Q Network (D3QN) algorithm. The proposed method has been tested and investigated on an IEEE 33-bus distribution network with the objective function of minimizing power losses and minimizing the average voltage deviation of the buses.