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摘要
The growing distributed resources has gradually transformed the power users from consumers to prosumers. In this paper, a method of fully decentralized clearing for peer-to-peer trading of the prosumers is studied based on the improved dual dynamic programming. First, by considering the network utilization fees and the network constraints, a P2P transaction model for the prosumers is established to minimize the total cost. Second, based on the multi-stage optimization theory, the peer-to-peer transaction model is transformed into a fully decentralized optimization model. By using the node cumulative voltage offset and the cumulative capacity of the lines as the state variable, the impact of each pair of transactions on the distribution network is clearly described. Then, the dual dynamic programming is used to solve the constructed model. In order to improve the solution efficiency, the Pareto optimal cut technique is used to reduce the generation of redundant benders cuts, thus improving the convergence speed of the dual dynamic programming with its accuracy guaranteed. Finally, the effectiveness of the proposed method is verified by some simulation analyses. ? 2023 Power System Technology Press.
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