Distributed Optimal Operation of AC/DC Hybrid Distribution Network Considering Wind Power Uncertainty

In the future, AC/DC hybrid distribution networks show significant partition characteristics, and the continuous penetration of distributed power has strong uncertainty. Based on this, a distributed optimization model of AC/DC hybrid distribution network considering wind power uncertainty is proposed in this paper. The model aims at minimizing the power purchase cost of superior power grid (AC sub-network power grid) and the cost of electricity purchase and sale between AC and DC sub-networks, wind curtailment cost and micro gas turbine power generation cost. The uncertainty of probability distribution of typical scenarios is constrained by norm-1 and norm-inf. A data-driven two-stage distribution robust model is constructed and solved by column and constraint generation (CCG) algorithm. The distributed optimization of AC/DC hybrid distribution network takes voltage source converter (VSC) as coupling element, coordinates each sub-network distribution network through power consistency constraint. The alternating direction method of multipliers (ADMM) is used to carry out global coordination and iterative solution, so as to realize the power balance among all sub-networks. Finally, case studies are conducted to show the performance of the proposed model.