交流配电系统中微网群管控一体化策略

微网群位于多节点配电网系统中，目前的研究大多只针对微网群的控制策略或能量调度问题，没有同时针对这两种问题进行的研究。因此，提出一种上层调度与下层控制联合优化的管控一体化策略。上层调度系统采用基于二阶锥优化的最优潮流算法对多节点系统进行能量调度，并与节点内微网群实时信息交互。下层微网群控制系统中提出一种改进的混合优化控制策略，在消除无功功率分配不均问题的同时提高系统的有功功率动态性能，并保证电压与频率的一致性稳定收敛。当负荷突变后超过微网群最大发电功率时，以微网群的功率需求作为上下层联动的标准，调用上层根据新的功率需求进行潮流的重新分配，通过通信网络向下层传递更新的参考信号，进行一种调度与控制的有机联动，保证系统的稳定性。仿真采用微网群系统接入30节点配电网运行作为算例，验证了管控一体化策略对系统的稳定性、可靠性和抗干扰性有很大的提高。

Integrated management and control strategy for a microgrid group in an AC distribution system

A microgrid cluster is located in a multi node distribution network system. Most current research focuses only either on the control strategy or energy scheduling problem of the microgrid cluster, but not on both problems together. Therefore, an integrated management and control strategy of joint optimization of upper scheduling and lower control is proposed. The upper scheduling system uses an optimal power flow algorithm based on second-order cone optimization to schedule the energy of the multi node system, and interacts with the real-time information of the microgrid group in the node. An improved hybrid optimal control strategy is proposed in the lower microgrid group control system. This can eliminate the uneven distribution of reactive power, improve the dynamic performance of active power, and ensure the consistency and stable convergence of voltage and frequency. When the load exceeds the maximum generating power of the microgrid group after a sudden change, the power demand of the microgrid group is taken as the linkage standard of the upper and lower layers, and the upper layer is called on to reallocate the power flow according to the new power demand, and an updated reference signal is transmitted to the lower layer through the communication network to carry out an organic linkage of regulation and control, so as to ensure the stability of the system. The simulation results show that the integrated management and control strategy can greatly improve the stability, reliability and anti-interference of the system. This work is supported by the National Natural Science Foundation of China (No. 61364027).