基于交替方向乘子法的主动配电网日前两阶段分布式优化调度策略

随着主动配电网中可控设备的大量接入，亟需提出新的优化调度策略以适应主动配电网日益复杂的调度运行。针对此问题，综合考虑主动配电网的运营成本和网络损耗，提出了一种日前两阶段分布式优化调度策略。第一阶段为有功优化阶段，考虑可控资源的有功调节作用，以配电网运营成本最小为目标进行经济优化调度；第二阶段为无功优化阶段，在第一阶段调度基础上，以系统网损最小为目标，考虑可控资源的无功调节作用，建立无功优化模型。为减轻系统通信负担，采用交替方向乘子法分别将有功和无功优化的集中式数学模型分解成多个子模型，通过相邻区域间期望信息的交互实现模型的分布式求解。仿真结果表明该策略可有效减小配电网的运营成本和网络损耗。

A Day-Ahead Two-Stage Distributed Optimal Scheduling Method for Active Distribution Network Based on ADMM

With the access of a large number of controllable devices in the active distribution network, it is urgent to propose a new optimal dispatching method to adapt to the increasingly complex dispatching operation of the active distribution network. In order to solve this problem, this paper proposes a two-stage distributed optimal dispatching method considering the operation costs and network loss of the active distribution network. The first stage is the active power optimization stage, which considers the active power regulation function of controllable resources and takes the minimum operation cost of distribution network as the objective for economic optimal dispatch. The second stage is the reactive power optimization stage. On the basis of the first-stage dispatch, the reactive power regulation function of controllable resources is taken into account, and the reactive power optimization model is established. In order to alleviate the communication burden of the system, the centralized mathematical model of active and reactive power optimization is decomposed into several sub-models by using alternating direction method of multipliers, and the distributed solution of the model is realized by the interaction of expected information between adjacent regions. The simulation results show that the method can effectively reduce the operation cost and network loss of distribution network.