多场景下以5G智慧灯杆为核心的源荷储系统优化运行研究  

Research on Optimized Operation of Source-Load-Storage Systems Centered on 5G Smart Light Poles in Multi-Scenarios

作　　者：陈荃 臧锋 朱子涵 洪芦诚 CHEN Quan;ZANG Feng;ZHU Zihan;HONG Lucheng(Nanjing City Lighting Construction and Operation Group Co.,Nanjing 210018,China;Southeast University,Nanjing 210096,China)

机构地区：[1]南京城市照明建设运营集团有限公司,江苏南京210018 [2]东南大学,江苏南京210096

出　　处：《照明工程学报》2025年第1期61-71,共11页China Illuminating Engineering Journal

摘　　要：随着多层次智慧照明体系的构建,智慧照明不再局限于单一的照明功能,城域级的智慧终端大量部署在5G智慧灯杆上,照明、监控、5G基站、充电桩等多元化负荷不断地接入照明能源体系。而这些特性各异的负荷在多样化的应用场景下表现出复杂的调节特性,对资源的有序调控和高效利用提出挑战。针对多样化场景下多元负荷调控无序,可调资源利用效率低等问题,提出一种考虑多典型场景下以5G智慧灯杆为核心的源荷储系统优化调度方法。首先,分析智慧照明体系下5G智慧灯杆系统架构,对可调柔性资源单体设备进行建模并剖析资源的可调特性。然后以电网友好性和运行经济性为目标函数,以储能约束、电能量平衡约束以及柔性负荷约束等作为约束条件,构建一个多场景适用的多时间尺度的源荷储系统协同优化调度模型。最后在多场景下建立相对应的多时间尺度调度策略,利用随机权重粒子群算法求解优化问题,仿真结果验证了该方法的有效性。With the construction of a multi-level smart lighting system,smart lighting has transcended its traditional singular function.At the urban scale,a vast deployment of smart terminals is integrated into 5G smart light poles,incorporating diverse loads such as lighting,surveillance systems,5G base stations,and charging piles into the lighting energy system.These heterogeneous loads exhibit complex regulation characteristics across diverse application scenarios,posing challenges to the orderly regulation and efficient utilization of resources.To address issues such as disordered regulation of diverse loads and low utilization efficiency of adjustable resources in various scenarios,this study proposes an optimized scheduling method for source-load-storage systems centered on 5G smart light poles,considering multiple typical application scenarios.First,the architecture of 5G smart light pole system within the smart lighting framework is analyzed,and flexible adjustable resource units are modeled to explore their regulation characteristics.Then,a multi-scenario,multi-time-scale source-load-storage system collaborative optimization scheduling module is developed,with the objectives of grid friendliness and operational cost-effective,and constraints such as energy storage limits,power balance,and flexible load constraints.Finally,multi-time-scale scheduling strategies are established for different scenarios,and the optimization problems is solved using a stochastic weighted particle swarm optimization algorithm.Simulation results validate the effectiveness of the proposed method.

关 键 词：5G智慧灯杆 源荷储协同 随机权重粒子群算法 滚动优化 多时间尺度 

分 类 号：TM923[电气工程—电力电子与电力传动]