TWO-LAYER DISTRIBUTED COOPERATIVE CONTROL OF FLYWHEEL ENERGY STORAGE GROUPS BASED ON CONSENSUS ALGORITHM

Li Jiayu; Wei Le; Fang Fang; Wang Bingyu; Li Zijian

doi:10.19912/j.0254-0096.tynxb.2023-1898

English Version Reader LoginJournal Login

您当前的位置：

首页 >

文章列表页 >

TWO-LAYER DISTRIBUTED COOPERATIVE CONTROL OF FLYWHEEL ENERGY STORAGE GROUPS BASED ON CONSENSUS ALGORITHM

更新时间：2025-10-18

- TWO-LAYER DISTRIBUTED COOPERATIVE CONTROL OF FLYWHEEL ENERGY STORAGE GROUPS BASED ON CONSENSUS ALGORITHM
- Vol. 46, Issue 3, Pages: 34-42(2025)
- 作者机构：
  
  华北电力大学控制与计算机工程学院,北京 102206
- 作者简介：
- 基金信息：
- DOI：10.19912/j.0254-0096.tynxb.2023-1898
  CLC： TP273TM73
- Published Online：07 April 2025，
  
  Published：2025
- 稿件说明：
移动端阅览
李佳玉, 魏乐, 房方, 王冰玉, 李子健. 基于一致性算法的飞轮储能群组双层分布式协同控制[J]. 太阳能学报, 2025, 46(3): 34-42.

Li Jiayu, Wei Le, Fang Fang, et al. TWO-LAYER DISTRIBUTED COOPERATIVE CONTROL OF FLYWHEEL ENERGY STORAGE GROUPS BASED ON CONSENSUS ALGORITHM[J]. 2025, 46(3): 34-42.
李佳玉, 魏乐, 房方, 王冰玉, 李子健. 基于一致性算法的飞轮储能群组双层分布式协同控制[J]. 太阳能学报, 2025, 46(3): 34-42. DOI： 10.19912/j.0254-0096.tynxb.2023-1898.

Li Jiayu, Wei Le, Fang Fang, et al. TWO-LAYER DISTRIBUTED COOPERATIVE CONTROL OF FLYWHEEL ENERGY STORAGE GROUPS BASED ON CONSENSUS ALGORITHM[J]. 2025, 46(3): 34-42. DOI： 10.19912/j.0254-0096.tynxb.2023-1898.

摘要

针对直流微电网中的飞轮储能群组

提出一种基于一致性算法的双层分布式协同控制策略：一次控制层基于磁场定向控制和空间矢量脉宽调制算法

由电压电流下垂方程提供设定值;在此基础上加入分布式二次控制层

通过基于一致性算法的平均电压观测器和飞轮能量状态观测器

仅依靠相邻储能单体之间的通信实现对下垂控制的修正。该策略不仅能有效调节下垂控制导致的电压偏差

还能克服传统集中式控制存在的单点故障和扩展性受限的问题。仿真结果表明：所提策略可将各母线电压平均值恢复至额定水平

还可实现各飞轮储能单体按其能量状态分配功率

避免功率环流。

Abstract

A two-layer distributed cooperative control strategy

based on the consensus algorithm

is proposed for flywheel energy storage group within DC microgrids. The primary control layer adopts magnet field-oriented control and space vector pulse-width modulation

with reference values provided by voltage-current droop equations. Building upon this foundation of traditional droop control

an additional distributed secondary control layer is introduced. This layer incorporates an average voltage observer and a state equation relying on flywheel energy indicators. It solely utilizes communication between adjacent energy storage units to modify the droop control via the consensus algorithm. This approach effectively rectifies voltage deviations caused by droop control while overcoming issues associated with traditional centralized control

such as single-point failures and limited scalability. Simulation results affirm the effectiveness of the proposed strategy

demonstrating the restoration of average bus voltage to its rated level

the allocation of power to individual flywheel energy storage units according to their energy states

and the prevention of power circulation.

关键词

Keywords

references

吴智泉, 贾纯超, 陈磊, 等. 新型电力系统中储能创新方向研究[J]. 太阳能学报, 2021, 42(10): 444-451.

舒印彪, 赵勇, 赵良, 等. “双碳” 目标下我国能源电力低碳转型路径[J]. 中国电机工程学报, 2023, 43(5): 1663-1672.

师瑞峰, 宁津, 高毓钦, 等. 含氢储能的公路交通风、光自洽微网系统优化调度策略研究[J]. 太阳能学报, 2023, 44(11): 513-521.

CHOUDHURY S.Review of energy storage system technologies integration to microgrid: types, control strategies, issues, and future prospects[J]. Journal of energy storage, 2022, 48: 103966.

李佳玉, 魏乐, 房方, 等. 飞轮储能控制技术及其在新型电力系统中的应用[J]. 中国科学: 技术科学, 2024, 54(6): 1003-1020.

魏乐, 周子宇, 房方, 等. 双PWM 变流器飞轮系统母线电压LADRC二次控制策略[J]. 太阳能学报, 2025, 46(1): 242-250.

LAI J F, SONG Y D, DU X Q.Hierarchical coordinated control of flywheel energy storage matrix systems for wind farms[J]. IEEE/ASME transactions on mechatronics, 2018, 23(1): 48-56.

郭伟, 张建成, 李翀, 等. 针对并网型风储微网的飞轮储能阵列系统控制方法[J]. 储能科学与技术, 2018, 7(5): 810-814.

陈玉龙, 武鑫, 滕伟, 等. 用于风电功率平抑的飞轮储能阵列功率协调控制策略[J]. 储能科学与技术, 2022, 11(2): 600-608.

MAHDAVI M S, GHAREHPETIAN G B, MOGHADDAM H A.Enhanced frequency control method for microgrid-connected flywheel energy storage system[J]. IEEE systems journal, 2021, 15(3): 4503-4513.

金辰晖, 姜新建, 戴兴建. 微电网飞轮储能阵列协调控制策略研究[J]. 储能科学与技术, 2018, 7(5): 834-840.

任京攀, 马宏伟, 姚明清. 基于粒子群算法的飞轮阵列协调控制策略[J]. 电工技术学报, 2021, 36(增刊1): 381-388.

CAO Q, SONG Y D, GUERRERO J M, et al.Coordinated control for flywheel energy storage matrix systems for wind farm based on charging/discharging ratio consensus algorithms[J]. IEEE transactions on smart grid, 2016, 7(3): 1259-1267.

GAO H L, LI W, CAI H.Distributed control of a flywheel energy storage system subject to unreliable communication network[J]. Energy reports, 2022, 8: 11729-11739.

SUN Y Z, HU J P, LIU J X.Periodic event-triggered control of flywheel energy storage matrix systems for wind farms[J]. IET control theory & applications, 2020, 14(11): 1467-1477.

ZHANG Z Q, MENG K, LIU Q, et al.Hierarchical energy coordination of flywheel energy storage array system for wind farms based on consensus algorithm[J]. AIP advances, 2022, 12(3): 035005.

赵霁晴, 张建成, 宋兆鑫, 等. 基于飞轮储能阵列系统的分布式协调控制策略[J]. 华北电力大学学报(自然科学版), 2018, 45(6): 28-34.

叶刚进, 孙可, 杨翾, 等. 飞轮储能式电动汽车充电站的分布式协同控制策略[J]. 现代电力, 2020, 37(5):526-531.

GOLSORKHI M S, SHAFIEE Q, LU D D, et al.A distributed control framework for integrated photovoltaic-battery-based islanded microgrids[J]. IEEE transactions on smart grid, 2017, 8(6): 2837-2848.

ZHANG Q J, ZENG Y J, LIU Y C, et al.An improved distributed cooperative control strategy for multiple energy storages parallel in islanded DC microgrid[J]. IEEE journal of emerging and selected topics in power electronics, 2022, 10(1): 455-468.

CHEN X, SHI M X, ZHOU J Y, et al.Distributed cooperative control of multiple hybrid energy storage systems in a DC microgrid using consensus protocol[J]. IEEE transactions on industrial electronics, 2020, 67(3): 1968-1979.

CHEN X, SHI M X, ZHOU J Y, et al.Consensus-based distributed control for photovoltaic-battery units in a DC microgrid[J]. IEEE transactions on industrial electronics, 2019, 66(10): 7778-7787.

ZHOU J Y, SHI M X, CHEN X, et al.A cascaded distributed control framework in DC microgrids[J]. IEEE transactions on smart grid, 2021, 12(1): 205-214.

NASIRIAN V, MOAYEDI S, DAVOUDI A, et al.Distributed cooperative control of DC microgrids[J]. IEEE transactions on power electronics, 2015, 30(4): 2288-2303.

郑飞, 吴钦木. 电动汽车用IPMSM矢量控制策略研究[J]. 计算机仿真, 2022, 39(1): 148-152.

NUSTES J C, PAU D P, GRUOSSO G.Modelling the field oriented control applied to a 3-phase permanent magnet synchronous motor[J]. Software impacts, 2023, 15: 100479.

陈云龙, 杨家强, 张翔. 一种计及总损耗功率估计与转速前馈补偿的飞轮储能系统放电控制策略[J]. 中国电机工程学报, 2020, 40(7): 2358-2368.

任正义, 周元伟, 张绍武, 等. 转动惯量比对飞轮转子系统稳定性影响[J]. 机械设计与制造, 2020(3): 203-206.

陈仲伟, 李达伟, 邹旭东, 等. 双馈电机驱动的飞轮储能系统稳定运行控制方法[J]. 电力科学与技术学报, 2021, 36(1): 177-184.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

OPTIMIIATION DESIGN OF MULTI-SCENE OFF-GRID MICROGRID BASED ON HOMER

COORDINATED CONTROL OF HYBRID ENERGY STORAGE BASED ON ENHANCED ACTIVE DISTURBANCE REJECTION CONTROL

Related Author

李大伟

唐守元

朱婉路

齐腾

董晋明

严晓生

刘仲稳

赵建红

Related Institution

School of Energy Science and Engineering, Nanjing Tech University

Electric Power Research Institute, State Grid HuBei Electric Power Co., Ltd.

School of Electrical and Information Engineering, Hunan University of Technology

Hunan Province Photovoltaic Smart Grid Control Engineering Research Center

School of Control and Computer Engineering, North China Electric Power University

AI问答

⁰