基于边云架构的配电网电压协同控制方法

刘亚闯, 蔡绍堂, 彭云竹, 胡博, 林铖嵘

太阳能学报 ›› 2025, Vol. 46 ›› Issue (7) : 51-61.

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太阳能学报 ›› 2025, Vol. 46 ›› Issue (7) : 51-61. DOI: 10.19912/j.0254-0096.tynxb.2024-2179
第二十七届中国科协年会学术论文

基于边云架构的配电网电压协同控制方法

  • 刘亚闯1,2, 蔡绍堂3, 彭云竹3, 胡博4, 林铖嵘4
作者信息 +

COOPERATIVE VOLTAGE CONTROL FOR DISTRIBUTION NETWORKS BASED ON EDGE-CLOUD ARCHITECTURE

  • Liu Yachuang1,2, Cai Shaotang3, Peng Yunzhu3, Hu Bo4, Lin Chengrong4
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摘要

针对新能源高渗透率下多时间尺度电压协同控制存在经济性与实时性难以协调的问题,提出基于边云架构的多时间尺度电压协同控制方法。针对新能源消纳场景下离散/连续设备协同调节难题,将电压协同控制分为3个阶段:云端针对离散型设备进行小时级的控制以实现全局的功率损耗和调压成本最低;边缘控制器则以15 min为周期对连续型设备进行控制以应对较短时间尺度内的功率波动;对于实时的功率波动和设备故障等则基于事件触发通信机制实现电压实时控制。设计面向边云协同电压控制的交替乘子法求解策略,以提高计算和通信资源的使用效率。改进IEEE配网算例的仿真结果表明:在新能源高渗透率场景下,所提方法在平均/最大电压偏差分别降低2.3%/16.3%;在通信和计算资源分配不平衡指数和总求解时间上的提升幅度均超过68%。通过协调不同时间尺度的调压资源,可显著增强系统对可再生能源波动的适应性,网络损耗降低超6.2%,验证该方法在提升新能源消纳方面的有效性。

Abstract

Aiming at the problem that it is difficult to coordinate the economy and real-time performance of multi time scale voltage collaborative control under the high renewable energy penetration, a multi-time scale voltage cooperative control method based on edge cloud architecture is proposed. To address the co-regulation problem between discrete and continuous devices in the context of renewable energy consumption, the voltage co-control process is divided into three stages: First, the cloud system manages the discrete equipment on an hourly basis to minimize global power loss and reduce regulatory costs. Second, the edge controller regulates the continuous equipment at 15-minute intervals to effectively respond to short-term power fluctuations. Finally, to manage real-time power fluctuations and device failures, the voltage control method employs an event-triggered communication mechanism to facilitate immediate voltage regulation. An alternating direction method of multipliers (ADMM) solution strategy for cooperative voltage control, oriented towards edge-cloud applications, is designed to enhance the efficiency of computational and communication resource utilization. Simulation results from an improved IEEE distribution network demonstrate that the proposed method reduces the average and maximum voltage deviations by 2.3% and 16.3%, respectively, in a scenario with high penetration of renewable energy sources. Additionally, it improves the imbalance indices of communication and computation resource allocation, as well as the total solution time, by more than 68%. By coordinating voltage regulation resources across different timescales, the system’s adaptability to fluctuations in renewable energy is significantly enhanced, resulting in a reduction of network losses by over 6.2%. This verifies the effectiveness of the method in promoting renewable energy consumption.

关键词

新能源 / 配电网 / 电压控制 / 事件触发控制 / 边缘计算 / 资源调度

Key words

new energy / distribution networks / voltage control / event-triggered control / edge computing / resource allocation

引用本文

导出引用
刘亚闯, 蔡绍堂, 彭云竹, 胡博, 林铖嵘. 基于边云架构的配电网电压协同控制方法[J]. 太阳能学报. 2025, 46(7): 51-61 https://doi.org/10.19912/j.0254-0096.tynxb.2024-2179
Liu Yachuang, Cai Shaotang, Peng Yunzhu, Hu Bo, Lin Chengrong. COOPERATIVE VOLTAGE CONTROL FOR DISTRIBUTION NETWORKS BASED ON EDGE-CLOUD ARCHITECTURE[J]. Acta Energiae Solaris Sinica. 2025, 46(7): 51-61 https://doi.org/10.19912/j.0254-0096.tynxb.2024-2179
中图分类号: TM732   

参考文献

[1] WANG Y Z, ZHAO J.Periodic event-triggered sliding mode control for switched uncertain T-S fuzzy systems with a logistic adaptive event-triggering scheme[J]. IEEE transactions on fuzzy systems, 2022, 30(10): 4115-4126.
[2] 杨宇, 文福拴, 周星龙, 等. 高光伏渗透率配电系统电压协同控制研究综述[J]. 电力自动化设备, 2023, 43(10): 48-58.
YANG Y, WEN F S, ZHOU X L, et al.Research review of voltage cooperative control in distribution system with high photovoltaic penetration[J]. Electric power automation equipment, 2023, 43(10): 48-58.
[3] PIERROU G, LAI H L, HUG G, et al.A decentralized wide-area voltage control scheme for coordinated secondary voltage regulation using PMUs[J]. IEEE transactions on power systems, 2024, 39(6): 7153-7165.
[4] 李大伟, 唐守元, 朱婉路, 等. 基于自适应Q-V特性的储能暂态电压支撑控制策略研究[J]. 太阳能学报, 2024, 45(12): 536-544.
LI D W, TANG S Y, ZHU W L, et al.Research on control strategy of ESS transient voltage support based on adaptive Q-V characteristic[J]. Acta energiae solaris sinica, 2024, 45(12): 536-544.
[5] LI S Y, WU W C.Adaptive voltage control to coordinate multiple PV inverters as a cluster[J]. IEEE transactions on smart grid, 2024, 15(6): 5526-5538.
[6] DING L, HAN Q L, GE X H, et al.An overview of recent advances in event-triggered consensus of multiagent systems[J]. IEEE transactions on cybernetics, 2018, 48(4): 1110-1123.
[7] HUONG D C, NAHAVANDI S, TRINH H.Event-triggered state and disturbance estimation for lipschitz nonlinear systems with unknown time-varying delays[J]. IEEE transactions on cybernetics, 2023, 53(12): 7895-7905.
[8] 季玉琦. 考虑配电网电压无功资源时空耦合特性的协调优化控制研究[D]. 北京: 中国农业大学, 2017.
JI Y Q.Research on voltage and reactive power coordinated control considering spatiotemporal coupling characteristics in distribution networks[D]. Beijing: China Agricultural University, 2017.
[9] 王蒙, 张文朝, 汪莹, 等. 高比例光伏接入的电力系统暂态过电压控制策略[J]. 太阳能学报, 2023, 44(10): 148-155.
WANG M, ZHANG W C, WANG Y, et al.Transient overvoltage control strategy of power system considering high proportion photovoltaic access[J]. Acta energiae solaris sinica, 2023, 44(10): 148-155.
[10] 邹文斌, 韩松, 荣娜, 等. 基于分布式共识协同的光伏逆变器电压控制策略研究[J]. 电力系统保护与控制, 2024, 52(1): 166-173.
ZOU W B, HAN S, RONG N, et al.Voltage control strategy for a PV inverter based on distributed consensus collaboration[J]. Power system protection and control, 2024, 52(1): 166-173.
[11] 李鹏, 姜磊, 王加浩, 等. 基于深度强化学习的新能源配电网双时间尺度无功电压优化[J]. 中国电机工程学报, 2023, 43(16): 6255-6266.
LI P, JIANG L, WANG J H, et al.Optimization of dual-time scale reactive voltage for distribution network with renewable energy based on deep reinforcement learning[J]. Proceedings of the CSEE, 2023, 43(16): 6255-6266.
[12] GERDROODBARI Y Z, RAZZAGHI R, SHAHNIA F.Decentralized control strategy to improve fairness in active power curtailment of PV inverters in low-voltage distribution networks[J]. IEEE transactions on sustainable energy, 2021, 12(4): 2282-2292.
[13] 肖迁, 李天翔, 贾宏杰, 等. 面向区域能源互联网的边云协同架构及其优化策略研究[J]. 中国电机工程学报, 2023, 43(6): 2248-2263.
XIAO Q, LI T X, JIA H J, et al.Research on edge cloud collaboration architecture and optimization strategy for regional energy Internet[J]. Proceedings of the CSEE, 2023, 43(6): 2248-2263.
[14] 江翼, 刘正阳, 王文瑞, 等. 基于边云协同的变电设备多状态量监测系统研究[J]. 电力系统保护与控制, 2021, 49(6): 138-144.
JIANG Y, LIU Z Y, WANG W R, et al.Research on multi-state monitoring system of substation equipment based on edge-cloud collaboration[J]. Power system protection and control, 2021, 49(6): 138-144.
[15] 郑应俊, 杨艺宁, 舒一飞, 等. 基于边缘计算的低压用户窃电检测[J]. 电力系统自动化, 2022, 46(11): 111-120.
ZHENG Y J, YANG Y N, SHU Y F, et al.Electricity theft detection for low-voltage users based on edge computing[J]. Automation of electric power systems, 2022, 46(11): 111-120.
[16] 陈元榉, 蔡泽祥, 岑伯维, 等. 考虑任务耦合的配电网边缘计算终端部署与任务分配方法[J]. 电力系统自动化, 2022, 46(22): 32-40.
CHEN Y J, CAI Z X, CEN B W, et al.Deployment and task allocation method of edge computing terminals in distribution network considering task coupling[J]. Automation of electric power systems, 2022, 46(22): 32-40.
[14] ZHAO J L, ZHANG Z Q, YU H, et al.Cloud-edge collaboration-based local voltage control for DGs with privacy preservation[J]. IEEE transactions on industrial informatics, 2023, 19(1): 98-108.
[18] ZHONG J X, LIU B, YU X H, et al.Enhancing voltage compliance in distribution network under cloud and edge computing framework[J]. IEEE transactions on cloud computing, 2023, 11(2): 1217-1229.
[19] 刘蕊, 吴奎华, 冯亮, 等. 含高渗透率分布式光伏的主动配电网电压分区协调优化控制[J]. 太阳能学报, 2022, 43(2): 189-197.
LIU R, WU K H, FENG L, et al.Voltage partition coordinated optimization control of active distribution network of high penetration distributed PVs[J]. Acta energiae solaris sinica, 2022, 43(2): 189-197.
[20] 李圣清, 刘博文, 李焕平, 等. 基于一致性算法光伏逆变器和储能分组协调电压控制策略[J]. 太阳能学报, 2024, 45(9): 345-352.
LI S Q, LIU B W, LI H P, et al.Coordinated voltage control strategy of photovoltaic inverter and energy storage group based on consensus algorithm[J]. Acta energiae solaris sinica, 2024, 45(9): 345-352.
[21] 孙胜博, 饶尧, 郭威, 等. 基于改进ADMM的含分布式光伏的配电网电压无功优化方法[J]. 太阳能学报, 2024, 45(3): 506-516.
SUN S B, RAO Y, GUO W, et al.Volt/var optimization method of distribution network with distributed photovoltaic based on improved ADMM[J]. Acta energiae solaris sinica, 2024, 45(3): 506-516.
[22] XU X Y, LI Y H, YAN Z, et al.Hierarchical central-local inverter-based voltage control in distribution networks considering stochastic PV power admissible range[J]. IEEE transactions on smart grid, 2023, 14(3): 1868-1879.
[23] ROBBINS B A, HADJICOSTIS C N, DOMÍNGUEZ-GARCÍA A D. A two-stage distributed architecture for voltage control in power distribution systems[J]. IEEE transactions on power systems, 2013, 28(2): 1470-1482.
[24] DING T, LIU S Y, YUAN W, et al.A two-stage robust reactive power optimization considering uncertain wind power integration in active distribution networks[J]. IEEE transactions on sustainable energy, 2016, 7(1): 301-311.
[25] XU Y, DONG Z Y, ZHANG R, et al.Multi-timescale coordinated voltage/var control of high renewable-penetrated distribution systems[J]. IEEE transactions on power systems, 2017, 32(6): 4398-4408.

基金

国家自然科学基金(524B2101; U2066213); 南阳市科技计划(24KJGG142)

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