Two-layer Optimization Method for On-site Accommodation of Distributed New Energy with Participation of Energy Storage in Distribution Networks

The mismatch between source and load characteristics as well as the randomness and intermittency of distributed new energy block the on-site accommodation of distributed new energy in the distribution network. However, accommodation obstruction would cause line losses and a sharp increase in operation cost. To solve this issue, the on-site power balance and time-varying characteristics of line losses in distribution networks with high penetration distributed new energy is analyzed firstly. Next, a two-layer optimization model for on-site accommodation of distributed new energy with participation of energy storage in distribution networks is established with the maximum on-site accommodation of distributed new energy as well as the minimum line losses and operation cost as objectives. Finally, case studies are conducted on IEEE-39 system and IEEE-118 system using particle swarm optimization(PSO) algorithm and multi-verse algorithm(MVO). The results show that the two-layer optimization model considering line losses proposed in this paper has significant advantages compared to traditional two-layer optimization models and single-layer optimization models, i.e., cost, line losses and new energy curtailment are reduced by 6.08%, 8.02%, 13.12% and 24.07%, 18.13%, 4.72%, respectively. In addition, comparing with traditional PSO algorithm, cost and new energy curtailment are decreased by 15.83% and 49.10% using the MVO algorithm. Then the feasibility, effectiveness and superiority of the presented two-layer optimization method of the distribution network as well as the MVO algorithm are verified.