Research on Robust Optimal Scheduling Considering Self-balancing Capability of Active Distribution Network

With various forms of distributed new energy access to the distribution network, the traditional distribution network has changed from the role of "consumer" of electric energy to "producer and consumer" of electric energy in the active distribution network. It is necessary to evaluate the self-generation and consumption capacity of the active distribution network, and consider the volatility of wind and solar output to optimize the scheduling, so as to improve the absorption rate of new energy and optimize the operation state of the distribution network. Therefore, a self-balancing evaluation index of active distribution network is designed in this paper, and a two-stage robust optimal scheduling method considering self-balancing capability of distribution network is proposed. Firstly, the composition of self-balancing capacity of active distribution network is analyzed, and various resources involved in self-balancing are modeled. Secondly, considering the real-time power balance in the dispatching process and the flexibility demand in a certain time, the index of evaluating the self-balancing ability of active distribution network is proposed. Then, the second-order robust optimal scheduling model is constructed with the goal of the lowest operating cost and the highest regional self-balancing degree, and is solved by column and constraint generation methods. Finally, a numerical example is given to verify the effectiveness of the proposed method for the optimal operation of the distribution network.