Demand response method considering multiple types of flexible loads in industrial parks

With the rapid development of energy internet, proportion flexible loads in smart grid is getting much higher than before. It highly important to model based on demand response. Therefore, a new response method considering multiple proposed this paper character integrated (IDR) resources. Firstly, physical process analytical deduction (PPAD) improve classification industrial parks. Scenario generation, data point augmentation, and smooth curves under various operating conditions are considered enhance applicability model. Secondly, view strong volatility poor modeling effect Wasserstein-generative adversarial networks (WGAN), an improved WGAN-gradient penalty (IWGAN-GP) developed get faster convergence speed traditional WGAN generate quality samples. Finally, PPAD IWGAN-GP models jointly implemented reveal degree correlation between loads. Meanwhile, intelligent offline database built deal with impact nonlinear factors different scenarios. Numerical examples have been performed results proving that significantly better existing technologies reducing load deviation improving responsiveness park