Research on Reconfiguration Strategy of Distributed Distribution Network With Self-Healing Performance Under High-Proportion Renewable Energy Access

Abstract

ObjectivesAs the proportion of renewable energy in power grids increases year by year, the volatility and uncertainty of the grid are significantly heightened, posing challenges to the safe operation of distribution networks. To address the issue of distributed network reconfiguration in high-proportion renewable energy grids, this paper proposed an online rolling optimization framework.MethodsThe framework utilized a distributed consensus protocol to obtain network topology and node operation information. It can enable automatic reconfiguration in the event of N-1 and N-2 line failures, allowing the distribution network to automatically restore normal operation without the need for additional external triggering signals, thus ensuring economic operation of the grid. Additionally, a rolling optimization method was employed to handle grid fluctuations caused by the high proportion of renewable energy, and generative adversarial network (GAN) technology was used to generate new data, which combined with historical data. It can help to achieve high-precision forecasting of grid operation data.ResultsThe proposed method can achieve automatic economic optimization and self-healing in normal, single-point failure, and two-point failure scenarios.ConclusionsThis method provides an effective solution for ensuring the safe operation of distributed networks in high-proportion renewable energy grids.

Keywords

• renewable energy
• distributed generator
• distribution network reconstruction
• distribution network self-healing
• high proportion of new energy
• distributed optimization
• look-ahead optimization