含能源路由器的交直流互联配电网协调动态优化

Coordinated Dynamic Optimization of AC-DC Interconnected Distribution Network Based on Energy Router

能源路由器(energy router,ER)作为能源互联网的关键设备,可以灵活控制潮流分配,提升电压水平,实现区域互联、能量互济、故障隔离等功能,研究采用ER实现交直流互联配电网的优化运行具有重要意义。考虑到ER和多种有功和无功调节设备的协同运行,提出了一种日前-日内双时间尺度下的有功-无功协调动态调度模型,该模型以系统综合成本和电压偏移度为目标函数,通过日前离散设备调度和日内连续设备调节相互配合,实现协调动态优化。提出了一种改进的多目标粒子群算法求解模型,以改进的IEEE 33节点交流配网和13节点直流配网系统作为仿真样本,结果表明,ER的接入对降低配电系统损耗、改善电能质量、优化运行策略、促进新能源消纳和降低综合成本有积极影响,并验证了所述算法的有效性。

The energy router(ER), as a key device of Energy Internet, can flexibly control the power flow distribution,increase the voltage level, and realize the functions such as regional interconnection, energy mutual aid, and fault isolation.Studying the application of ER to achieve the optimization of AC-DC interconnected distribution network operation is of great significance. In this paper, the coordinated operation of ER and multiple active and reactive power regulating devices is taken into consideration, and a dynamic scheduling model of active and reactive power coordination under the dual time scales of day-ahead and intraday is proposed. This model takes the overall system cost and voltage deviation as the objective function. Discrete equipment scheduling and intraday continuous equipment adjustment cooperate with each other to achieve coordinated dynamic optimization. An improved multi-objective particle swarm algorithm(MOPSO) is proposed to solve the model. The improved IEEE 33-node AC distribution network and 13-node DC distribution network system are used as simulation samples. The results show that ER access has a positive impact on reducing power distribution system losses, improving power quality, optimizing operating strategies, promoting renewable energy consumption, and reducing overall costs, and the effectiveness of the algorithm is verified.