| 引用本文: | 兰 征,谭仁煜,杨淳智,等.考虑5G基站调控潜力和多资源协同的配电网分层分区有功无功协调优化方法[J].电力系统保护与控制,2026,54(02):91-102.[点击复制] |
| LAN Zheng,TAN Renyu,YANG Chunzhi,et al.Hierarchical and zonal active-reactive power coordination optimization method for distribution networks considering the regulation potential of 5G base stations and multi-resource coordination[J].Power System Protection and Control,2026,54(02):91-102[点击复制] |
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| 摘要: |
| 5G基站、分布式光伏(distributed photovoltaic, DPV)等分布式资源大规模参与配电网经济与电能质量等多目标优化调度，致使配电网调控模型决策变量复杂、求解时间慢等问题凸显。为此，提出一种考虑5G基站调控潜力和多资源协同的配电网分层分区优化方法。首先，考虑5G基站通信流量波动特性，建立计及闲置荷电状态(state of charge, SOC)约束的5G基站调控潜力模型。基于此，再建立配电网分层分区优化模型。上层以配电网综合效益最优为目标进行集中式调度，从而确定配电网分组投切电容器组、静止无功发生器等自身资源的动作方案。下层为分区调度，结合电压功率灵敏度和考虑5G基站通信负荷的源荷不匹配度指标进行配电网物理分区，建立面向5G基站闲置SOC和DPV剩余容量的配电网分区协调优化模型，并采用二阶锥规划和同步型交替方向乘子法相结合的混合算法进行求解。最后，以改进的IEEE33节点配电网为算例，分析验证了所提方法的有效性。结果表明，所提方法能够提高配电网调控模型的求解能力，并提升配电网经济性和电压质量。 |
| 关键词: 5G基站 后备储能 无功补偿 分区协调优化 源荷不匹配度 |
| DOI：10.19783/j.cnki.pspc.250373 |
| 投稿时间：2025-04-08修订日期：2025-07-01 |
| 基金项目:湖南省自然科学基金面上项目资助(2025JJ50232)；湖南省教育厅科学研究重点项目资助(24A040)；湖南工业大学研究生科研创新项目资助(CX2405) |
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| Hierarchical and zonal active-reactive power coordination optimization method for distribution networks considering the regulation potential of 5G base stations and multi-resource coordination |
| LAN Zheng1,TAN Renyu1,YANG Chunzhi1,2,WANG Xin3,LI Junhao3,LI Hang4,PENG Xi1 |
| (1. College of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou 412007, China; 2. State Grid
Electric Power Co., Ltd. Huaihua Power Supply Branch, Huaihua 418000, China; 3. National Electric Energy Conversion
and Control Engineering Technology Research Center (Hunan University), Changsha 410082, China; 4. Liaoning
Rongxin Xingye Electric Power Technology Co., Ltd., Anshan 114000, China) |
| Abstract: |
| With the large-scale participation of distributed resources such as 5G base stations and distributed photovoltaic (DPV) systems in multi-objective optimal dispatch of distribution networks, covering economic performance and power quality, the complexity of decision variables and the computational burden of distribution network control models have become increasingly prominent. To address these challenges, this paper proposes a hierarchical and zonal optimization method for distribution networks considering the regulation potential of 5G base stations and multi-resource coordination. First, considering the fluctuation characteristics of 5G base station traffic, a 5G base station regulation potential model is established, incorporating constraints on the idle state of charge (SOC). On this basis, a hierarchical and zonal optimization model for the distribution network is developed. At the upper layer, centralized dispatch is performed to optimize the overall benefits of the distribution network, thereby determining the operation schemes of intrinsic network resources such as switch capacitor banks and static reactive power generators. The lower level focuses on zonal dispatch: physical partitioning of the distribution network is carried out based on voltage-power sensitivity and a source-load mismatch index that considers the communication load of 5G base stations. A zonal coordinated optimization model is then established, oriented toward the idle SOC of 5G base stations and the residual capacity of DPV systems. This model is solved using a hybrid algorithm that combines second-order cone programming and the synchronous alternating direction method of multipliers. Finally, an improved IEEE 33-bus distribution network is used as a test case to verify the effectiveness of the proposed method. The results show that the proposed approach enhances the solvability of distribution network control models and improves both the economic performance and voltage quality of the distribution network. |
| Key words: 5G base station backup energy storage reactive power compensation zonal coordination optimization source-load mismatch index |
