Vertical switching algorithm considering multiple factors for new energy distribution network business

The diversity among current distribution network service types often results in substantial variations, exacerbating the propensity for frequent network switching and congestion issues arising from the influx of numerous power terminals. In response, this paper presents a multi-factor vertical switching algorithm grounded in Deep Q-network (DQN) principles. Leveraging a hierarchical analysis method, the algorithm constructs a model encompassing business weight values and identifies the optimal network for switching based on the assessed network state value. Simulation outcomes demonstrate the efficacy of the proposed algorithm in enhancing network throughput and reducing switching occurrences.