Abstract：In the context of carbon neutrality，an optimal pricing strategy for electric vehicle charging stations

considering carbon emissions was proposed. Firstly，a price response characteristic model of electric vehicle users

was constructed. Secondly，an optimal pricing model with the lowest carbon emission，the minimum load peakvalley difference and the highest charging station revenue as the objectives was established and transformed into a Markov decision process. Then，an improved proximal policy optimization（PPO）algorithm based on the time difference error was proposed to improve the efficiency and stability of the algorithm. Finally，the example analysis shows that the proposed pricing strategy can reduce the peak-valley difference of distribution network load and improve the economic benefit and low carbon level of charging station.

      Key words：charging station；carbon emission；pricing strategy；deep reinforcement learning；improved

proximal policy optimization（PPO）algorithm