摘要
为解决军事基地三相不平衡配电系统的最优功率问题,提出一种可扩展的、基于等效网络近似的分布式优化算法。通过分布式协调机制与邻近分布式区域交换潮流变量投影值,并依据径向配电系统的潮流特性精心选取共享变量,大幅降低了宏迭代次数。在优化过程中使用系统的数字孪生进行仿真,验证了其在通信受限条件下的鲁棒性。仿真结果表明:该方法能在合理时间内成功收敛到最优解,在军事基地通信延迟和低带宽等显著压力下仍表现良好。
In order to solve the optimal power problem of three-phase unbalanced distribution system for military bases,a scalable distributed optimization algorithm based on equivalent network approximation is proposed.The projection values of the power flow variables are exchanged with the adjacent distributed areas through the distributed coordination mechanism,and the shared variables are carefully selected according to the power flow characteristics of the radial distribution system,so that the number of macro iterations is greatly reduced.In the optimization process,the digital twins of the system are used to simulate and verify its robustness under the condition of limited communication.The simulation results show that the proposed method can successfully converge to the optimal solution in a reasonable time,and still perform well under the significant pressure of communication delay and low bandwidth in military bases.
作者
刘志勇
范律
杨朋飞
刘浩
Liu Zhiyong;Fan Lv;Yang Pengfei;Liu Hao(Weisen Information Technology Co.,Ltd.Department of Energy Efficiency Intelligent Solutions,Changsha 410221,China)
出处
《兵工自动化》
北大核心
2025年第8期55-59,共5页
Ordnance Industry Automation
关键词
分布式算法
配电系统
通信网络
数字孪生
distributed algorithm
distribution system
communication network
digital twin
