Abstract:

To address the imbalance problem of power theft data in the context of the smart grid,a method of power theft detection based on generative adversarial networks (GAN) is proposed.The generator is responsible for generating false samples to deceive the discriminator,and the discriminator is responsible for distinguishing the real samples from the generated samples.The generation ability of the generator and the discrimination ability of the discriminator can be imporved through the adversarial training of the two,thus the accuracy and anti-interference ability of power theft detection can be improved.The accuracy and superiority of the proposed algorithm are validated by the example results.

Key words: data imbalance, generative adversarial networks(GAN), power theft detection, generator, discriminator