A Bi-level Robust Planning Method of Active Distribution Networks With Uncertain Renewable Energy Sources

With the increasingly penetration of renewable energy sources in the active distribution network, the distribution network operator would face greater challenges in in terms of planning and operation. Such being the case, in order to meet the uncertain development of distributed generations and load demands, a bi-level robust planning method of active distribution network with uncertain renewable energy sources is studied in this paper. To start with, the uncertain scenario sets for distributed generations and loads are established. Then, a robust planning model for active distribution network is developed, aiming at minimizing the curtailment cost of wind power, solar power and load. Moreover, the investment level and operation level of the planning model are effectively associated, and the original model is converted into a mixed integer second-order cone programming problem for rapid solving by means of second-order cone relaxation. Finally, the effectiveness of proposed method is verified by the simulation results in the modified IEEE 33-bus system.