基于自适应虚拟阻抗的主动配电网电压不平衡补偿控制策略

刘斌; 谈竹奎; 唐赛秋; 赵帅; 陈雨诗; 张乾; 路晓庆

doi:10.12204/j.issn.1000-7229.2025.11.001

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电力建设 ›› 2025, Vol. 46 ›› Issue (11) : 1-9. DOI: 10.12204/j.issn.1000-7229.2025.11.001

源网荷储新型配电系统规划运行关键技术·栏目主持　董旭柱、尚磊、李红军·

基于自适应虚拟阻抗的主动配电网电压不平衡补偿控制策略

刘斌 ¹ ,
谈竹奎 ¹ ,
唐赛秋 ¹ ,
赵帅 ² ,
陈雨诗 ² ,
张乾 ³ ,
路晓庆 ³

作者信息 +

Voltage Unbalance Compensation Control Strategy for Active Distribution Networks Based on Adaptive Virtual Impedance

Author information +

文章历史 +

摘要

【目的】 为应对微电网中因线路阻抗差异与负载电流不平衡导致的电压质量恶化问题，提升分布式能源（distributed energy resources， DER）协同运行能力，提出基于自适应虚拟阻抗的二次补偿控制策略。【方法】 该方案由本地DER控制器、微电网控制单元以及微电网群控制中心三部分组成。微电网控制单元根据群控制中心下发的设定值调整电力交换，并通过二次控制信号调节公共耦合点的电压。在DER层面，采用V-I下垂控制策略，以快速实现电压频率稳定。下垂控制器的输出与二次控制信号及校正电压相结合，有效消除线路阻抗对均流精度的影响。【结果】 基于Matlab/Simulink在OPAL-RT仿真器上的实时仿真表明，电压的不平衡度降至1%以下，较传统下垂控制方法均流精度有较大提升。【结论】 提出的分层控制策略通过虚拟阻抗补偿与二次电压校正的协同作用，在DER间实时通信的条件下，有效解决了线路阻抗差异与负载不平衡导致的电压质量下降问题，实现了不平衡负载条件下的均流控制，为主动配电网环境下多微电网协同控制提供了新的解决方案。

Abstract

[Objective] To address the problem of voltage quality deterioration caused by line impedance differences and load current imbalances in the microgrid and improve the coordinated operation capability of distributed energy resources （DERs）， a secondary compensation control strategy based on adaptive virtual impedance is proposed to solve the problem of improving the voltage quality of the microgrid under load current imbalance.[Methods] The scheme comprised three parts： a local DER controller， microgrid control unit， and microgrid group control center. The microgrid control unit adjusted the power exchange according to the set value issued by the group control center and adjusted the voltage at the point of common coupling through the secondary control signal. At the DER level， the V-I droop control strategy was adopted to achieve fast voltage and frequency stability. The output of the droop controller was combined with the secondary control signal and correction voltage to effectively eliminate the influence of the line impedance on the current sharing accuracy.[Results] A real-time simulation based on MATLAB/Simulink on the OPAL-RT simulator showed that the voltage imbalance reduced to less than 1%， and the current sharing accuracy significantly improved compared with the traditional droop control method.[Conclusions] The hierarchical control strategy proposed in this study effectively solved the problem of voltage quality degradation caused by line impedance differences and load imbalances under the condition of real-time communication between DERs through the synergy of virtual impedance compensation and secondary voltage correction. Furthermore， it realized current sharing control under unbalanced load conditions， providing a new solution for the coordinated control of multiple microgrids in an active distribution network environment.

导出引用

刘斌, 谈竹奎, 唐赛秋, 等. 基于自适应虚拟阻抗的主动配电网电压不平衡补偿控制策略[J]. 电力建设. 2025, 46(11): 1-9 https://doi.org/10.12204/j.issn.1000-7229.2025.11.001

LIU Bin, TAN Zhukui, TANG Saiqiu, et al. Voltage Unbalance Compensation Control Strategy for Active Distribution Networks Based on Adaptive Virtual Impedance[J]. Electric Power Construction. 2025, 46(11): 1-9 https://doi.org/10.12204/j.issn.1000-7229.2025.11.001

中图分类号： TM464

参考文献

列表( 原文顺序 | 文献年度倒序 | 文中引用次数倒序 ) 可视化分析

[1]

赵洪磊, 徐正阳, 谷毅, 等. 配电信息物理系统的架构与规划综述[J]. 电力建设, 2023, 44(6): 61-69.

https://doi.org/10.12204/j.issn.1000-7229.2023.06.007

摘要

在新型电力系统背景下,先进的信息通信技术在配用电领域得到深化应用,配电系统已经发展成为典型的信息物理融合系统,传统的配电系统规划方法已经不能适应融合系统的发展需求。首先,梳理了配电信息物理系统的基本结构、技术特征及应用场景,分析了配电信息物理系统和配电物联网的关系;然后,从双层耦合特性、多重不确定性以及多类型约束条件等角度分析了配电信息物理系统规划所面临的挑战;之后,对配电信息物理系统规划的研究现状进行了分析;最后,针对配电信息物理系统规划的关键技术进行了展望。

ZHAO

Honglei

, XU

Zhengyang

, GU

, et al. Review of architecture and planning of cyber-physical distribution system[J]. Electric Power Construction, 2023, 44(6): 61-69.

https://doi.org/10.12204/j.issn.1000-7229.2023.06.007

本文引用 [1] 摘要

In the background of new power systems, advanced information and communication technology have been effectively applied in the field of power distribution systems. The distribution system has developed into a typical cyber-physical one. The traditional distribution network planning method can not meet the development needs of interdependent systems. In this study, the planning technology of cyber-physical distribution systems is summarized. Firstly, the basic structure, technical characteristics, and application scenarios of the cyber-physical distribution system are discussed, and the relationship between the cyber-physical distribution system and distribution Internet of Things is analyzed. Subsequently, the core elements of cyber-physical distribution system planning are analyzed from the perspective of double-layer coupling characteristics, multiple uncertainties, and multiple types of constraints. Thereafter, the current status of cyber-physical distribution system planning is reviewed. Finally, the framework of cyber-physical distribution system planning technology is established, and the key technologies for planning the distribution information physical systems are prospected.

[2]	李云龙, 田书, 马亚光. 含多微网的主动配电网分层优化调度[J]. 电力系统及其自动化学报, 2020, 32(6): 88-93. LI Yunlong, TIAN Shu, MA Yaguang. Hierarchical optimal dispatching of active distribution network with multi-microgrid[J]. Proceedings of the CSU-EPSA, 2020, 32(6): 88-93. 本文引用 [1]

[3]	LI Z Y, SHAHIDEHPOUR M, AMINIFAR F, et al. Networked microgrids for enhancing the power system resilience[J]. Proceedings of the IEEE, 2017, 105(7): 1289-1310. 本文引用 [1]

[4]

徐文韬, 米阳, 蔡鹏程, 等. 基于机会约束规划的含多微网主动配电网分布式优化管理[J]. 电力建设, 2024, 45(11): 1-13.

Wentao

, MI

Yang

, CAI

Pengcheng

, et al. Distributed optimization management for active distribution networks with multiple microgrids based on chance-constrained programming[J]. Electric Power Construction, 2024, 45(11): 1-13.

本文引用 [1]

[5]	ZAMORA R, SRIVASTAVA A K. Multi-layer architecture for voltage and frequency control in networked microgrids[J]. IEEE Transactions on Smart Grid, 2016, 9(3): 2076-2085. 本文引用 [1]

[6]

苏粟, 李泽宁, 靳小龙, 等. 基于机会约束规划的含智能楼宇主动配电网分布式能量管理策略[J]. 中国电机工程学报, 2023, 43(10): 3781-3794.

, LI

Zening

, JIN

Xiaolong

, et al. Distributed energy management strategy for active distribution network incorporating intelligent buildings based on chance-constrained programming[J]. Proceedings of the CSEE, 2023, 43(10): 3781-3794.

本文引用 [1]

[7]	HU J F, SHAN Y H, CHENG K W, et al. Overview of power converter control in microgrids: challenges, advances, and future trends[J]. IEEE Transactions on Power Electronics, 2022, 37(8): 9907-9922. 本文引用 [1]

[8]	NGUYEN H K, KHODAEI A, HAN Z. A big data scale algorithm for optimal scheduling of integrated microgrids[J]. IEEE Transactions on Smart Grid, 2018, 9(1): 274-282. 本文引用 [1]

[9]	VERA E G, CAÑIZARES C A, PIRNIA M, et al. Two-stage stochastic optimization model for multi-microgrid planning[J]. IEEE Transactions on Smart Grid, 2022, 14(3): 1723-1735. 本文引用 [1]

[10]	郭方洪, 李赫, 王函韵, 等. 直流微电网分布式弹性二次电压恢复与电流分配控制[J]. 电力系统自动化, 2022, 46(4): 84-92. GUO Fanghong, LI He, WANG Hanyun, et al. Distributed resilient secondary voltage restoration and current distribution control of DC microgrid[J]. Automation of Electric Power Systems, 2022, 46(4): 84-92. 本文引用 [1]

[11]

朱晓荣, 冯天娇. 基于小信号稳定性的直流微电网多控制器参数全局优化方法[J]. 电力建设, 2023, 44(6): 112-125.

https://doi.org/10.12204/j.issn.1000-7229.2023.06.012

摘要

直流微电网中存在多个控制器,而不同控制器参数的组合对系统的整体稳定性影响也存在差异。为提升系统稳定性,提出了一种基于小信号稳定性的直流微电网多控制器参数全局优化方法。首先,推导了系统的小信号模型,对系统进行特征值分析和参与因子分析,确定了PI参数、下垂系数、虚拟惯性系数等关键控制参数的稳定域;其次,建立了包含系统主导极点实部、阻尼比和储能最大输出功率的目标函数,并采用正交实验法获得样本数据,利用综合赋权法对多目标进行赋权;然后,采用结合灰狼优化的改进粒子群算法对系统的关键参数进行优化,结果表明参数优化后的系统特征值更加远离虚轴,阻尼比增大,储能最大输出功率增加,系统稳定性得到了提升;最后,通过仿真验证了所提方法的有效性和优越性。

ZHU

Xiaorong

, FENG

Tianjiao

. Global optimization method for multi-controller parameters of DC microgrids based on small-signal stability[J]. Electric Power Construction, 2023, 44(6): 112-125.

https://doi.org/10.12204/j.issn.1000-7229.2023.06.012

本文引用 [1] 摘要

DC microgrid systems have multiple controllers, and the combination of different controller parameters has different effects on the stability of the entire system. To improve system stability, a multi-controller parameter global optimization method based on small-signal stability is proposed. First, the small-signal model of the system is deduced, and eigenvalue and participation factor analyses of the system are performed to determine the stability domain of key control parameters such as PI parameters, droop coefficients, and virtual inertia coefficients. The objective function, including the maximum real part of the eigenvalue, damping ratio, and maximum output power of the energy storage, is established. The sample data are obtained by using an orthogonal experiment, and the multi-objective is weighted by using a comprehensive weighting method. The key parameters of the system are then optimized using improved particle swarm optimization based on the grey wolf algorithm, thereby yielding the optimization results. The results show that the eigenvalues of the system after parameter optimization are farther away from the imaginary axis, the damping ratio increases, and the maximum output power of the energy storage increases, which improves system stability. Finally, the effectiveness and superiority of the proposed method are verified by building a model on the MATLAB Simulink simulation platform.

[12]	LAURI A, CALDOGNETTO T, BIADENE D, et al. An unbalance and power controller allowing smooth islanded transitions in three-phase microgrids[J]. IEEE Transactions on Industrial Electronics, 2024, 71(10): 12279-12289. 本文引用 [1]

[13]	SHI Y D, LIU Z, LIU J J, et al. A decentralized secondary voltage control method with unbalance voltage compensation capability for parallel inverters in islanded microgrids[J]. IEEE Transactions on Power Electronics, 2025, 40(8): 11564-11582. 本文引用 [1]

[14]	赵宏程, 李再华, 梁海东, 等. 弱电网牵引变电所群电压不平衡预评估与治理研究[J]. 供用电, 2021, 38(12): 81-87. ZHAO Hongcheng, LI Zaihua, LIANG Haidong, et al. Study on voltage unbalance pre-assessment and compensation for traction substation group connected to weak grid[J]. Distribution & Utilization, 2021, 38(12): 81-87. 本文引用 [1]

[15]	姚勇, 朱桂萍, 刘秀成. 谐波对低压微电网运行的影响[J]. 中国电力, 2010, 43(10): 11-14. YAO Yong, ZHU Guiping, LIU Xiucheng. Harmonics influences on the operation of LV microgrids[J]. Electric Power, 2010, 43(10): 11-14. 本文引用 [1]

[16]	LU J H, ZHANG B F, HOU X C, et al. A distributed control strategy for unbalanced voltage compensation in islanded AC microgrids without continuous communication[J]. IEEE Transactions on Industrial Electronics, 2022, 70(3): 2628-2638. 本文引用 [2]

[17]	LUO S Y, WU W M, KOUTROULIS E, et al. A new unbalanced voltage compensation method based on HOPF oscillator for three-phase DC/AC inverters with unbalanced loads[J]. IEEE Transactions on Smart Grid, 2022, 13(6): 4245-4255. 本文引用 [1]

[18]	张润凡, 别朝红. 主动配电网的动态虚拟微电网群分布式群级协同控制[J]. 电力系统自动化, 2022, 46(14): 55-62. ZHANG Runfan, BIE Zhaohong. Distributed cluster-level cooperative control of dynamic virtual microgrid cluster for active distribution network[J]. Automation of Electric Power Systems, 2022, 46(14): 55-62. 本文引用 [1]

[19]	杨颂, 王成龙, 孙树敏, 等. 基于集群划分的配电网双层电压协调优化策略[J]. 山东电力技术, 2024, 51(3): 55-64. YANG Song, WANG Chenglong, SUN Shumin, et al. Coordination optimization strategy for cluster partition-based two-stage voltage control for distribution network[J]. Shandong Electric Power, 2024, 51(3): 55-64.

[20]	SIMPSON-PORCO J W, SHAFIEE Q, DÖRFLER F, et al. Secondary frequency and voltage control of islanded microgrids via distributed averaging[J]. IEEE Transactions on Industrial Electronics, 2015, 62(11): 7025-7038. 本文引用 [1]

[21]	MENG L X, ZHAO X, TANG F, et al. Distributed voltage unbalance compensation in islanded microgrids by using a dynamic consensus algorithm[J]. IEEE Transactions on Power Electronics, 2016, 31(1): 827-838. 本文引用 [1]

[22]	王尚斌, 苑丽伟, 方莹, 等. 计及新能源波动的分布式储能分层控制策略[J]. 山东电力技术, 2024, 51(9): 74-84. WANG Shangbin, YUAN Liwei, FANG Ying, et al. Distributed energy storage layered control strategy considering renewable energy fluctuations[J]. Shandong Electric Power, 2024, 51(9): 74-84. 本文引用 [1]

[23]	SAFAMEHR H, IZADI I, GHAISARI J. Robust V-I droop control of grid-forming inverters in the presence of feeder impedance variations and nonlinear loads[J]. IEEE Transactions on Industrial Electronics, 2023, 71(1): 504-512. 本文引用 [2]

[24]	肖磊, 吴迪, 王在福, 等. 基于自适应虚拟阻抗的不同容量微源逆变器下垂控制改进策略[J]. 广东电力, 2022, 35(11): 26-33. XIAO Lei, WU Di, WANG Zaifu, et al. Improved strategy for droop control of micro-source inverters with different capacities based on adaptive virtual impedance[J]. Guangdong Electric Power, 2022, 35(11): 26-33. 本文引用 [1]

[25]	GOLSORKHI M S, LU D D, GUERRERO J M. A GPS-based decentralized control method for islanded microgrids[J]. IEEE Transactions on Power Electronics, 2017, 32(2): 1615-1625.

[26]	SHI N H, CHENG R, LIU L M, et al. Data-driven affinely adjustable robust volt/var control[J]. IEEE Transactions on Smart Grid, 2024, 15(1): 247-259. 本文引用 [1]

[27]	刘聪, 李立生, 刘洋, 等. 基于准PR控制的锂电池储能并网系统功率控制[J]. 电测与仪表, 2021, 58(8): 172-178. LIU Cong, LI Lisheng, LIU Yang, et al. Power control of lithium battery energy storage grid-connected system based on quasi-PR control[J]. Electrical Measurement & Instrumentation, 2021, 58(8): 172-178. 本文引用 [1]

[28]	闫培雷, 葛兴来, 王惠民, 等. 弱电网下新能源并网逆变器锁相环参数优化设计方法[J]. 电网技术, 2022, 46(6): 2210-2221. YAN Peilei, GE Xinglai, WANG Huimin, et al. PLL parameter optimization design for renewable energy grid-connected inverters in weak grid[J]. Power System Technology, 2022, 46(6): 2210-2221. 本文引用 [1]

[29]	ABUSORRAH A M, SEPAHVAND H, GOLESTAN S. A SOGI-FLL-based type-3 synchronization system for single-phase grid-connected applications[J]. IEEE Transactions on Industrial Electronics, 2024, 72(4): 3562-3574. 本文引用 [1]

[30]	NASIRIAN V, SHAFIEE Q, GUERRERO J M, et al. Droop-free distributed control for AC microgrids[J]. IEEE Transactions on Power Electronics, 2015, 31(2): 1600-1617. 本文引用 [1]

[31]	ZHOU B, ZOU J T, CHUNG C Y, et al. Multi-microgrid energy management systems: architecture, communication, and scheduling strategies[J]. Journal of Modern Power Systems and Clean Energy, 2021, 9(3): 463-476. 本文引用 [1]

[32]	YAN S, GU Z, PARK J H, et al. Distributed cooperative voltage control of networked islanded microgrid via proportional-integral observer[J]. IEEE Transactions on Smart Grid, 2024, 15(6): 5981-5991.

[33]	MARKOVIĆ M, SAJADI A, FLORITA A, et al. Voltage estimation in low-voltage distribution grids with distributed energy resources[J]. IEEE Transactions on Sustainable Energy, 2021, 12(3): 1640-1650. 本文引用 [1]

[34]	VOSUGHI A, TAMIMI A, KING A B, et al. Cyber-physical vulnerability and resiliency analysis for DER integration: a review, challenges and research needs[J]. Renewable and Sustainable Energy Reviews, 2022, 168: 112794. 本文引用 [1]

[35]	LI P, JI J, JI H R, et al. MPC-based local voltage control strategy of DGs in active distribution networks[J]. IEEE Transactions on Sustainable Energy, 2020, 11(4): 2911-2921. 本文引用 [1]