Wind-Solar Power Consumption Strategy Based on Neural Network Prediction and Demand-side Response

Facilitated by the increasing capability of harnessing the natural resources, China’s use of renewable energy has been soaring. However, the phenomena of wind-solar power curtailment still exist, which brings serious challenge to power system economic operation. In this paper, a systemic technical strategy to the current renewable energy consumption problem, focusing on demand-side response and time-of-use electricity price based on neural network prediction, was proposed. Then the optimization and the proficiency have been analyzed. Finally, the effectiveness of the proposed strategy was verified through model simulation.