Time Series Production Simulation Based Limits Locating Method of RERs Accommodation

As wind and solar energy become more integrated into power grids, their intermittent nature poses challenges for grid stability. Traditional management methods struggle with large-scale RERs integration, leading to inefficiencies. This paper introduces an Enhanced Domain-Adversarial Network (EDAN) using the Maximum Mean Discrepancy (MMD) criterion to align feature distributions, improving forecasting under varying meteorological conditions. A Time Series Production Simulation (TSPS) method is also proposed to identify RERs accommodation limits, optimizing wind and solar integration. Using the t-SNE algorithm, spatiotemporal similarities are extracted to locate critical accommodation limits, with experimental results confirming the approach's effectiveness.