多VSG单元的惯量协调控制策略研究
CSTR:
作者:
作者单位:

(1.国网河北省电力有限公司电力科学研究院,河北 石家庄 050021;2.国网河北省电力有限公司,河北 石家庄 050021)

通讯作者:

戎士洋(1982—),男,硕士,高级工程师,主要从事新能源电力系统运行分析与控制技术方面的研究;E?mail:276932693@qq.com

中图分类号:

TM732

基金项目:

国网河北省电力有限公司新型电力系统重大科技攻关项目(kj2022?058)


Research on inertia coordinated control strategy of multiple VSG cells
Author:
Affiliation:

(1.Electric Power Research Institute, State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050021, China;2.State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050021, China)

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    摘要:

    大规模光伏并网系统中常采用多个虚拟同步发电机(virtual synchronous generator,VSG)单元进行协调配合,为电网提供虚拟惯性。但在实际运行中,虚拟惯量分配不合理会导致系统频率响应差及源端易损等。针对此问题,提出一种针对混合光储多VSG单元的惯量协调控制策略。该策略通过构造隶属函数,将储能单元荷电状态、换流器可调功率、储能充放电可调功率3个指标转化到同一量纲下,以解决惯量分配时多目标转换困难的问题。同时,为区分各指标对频率稳定的重要程度,避免惯量分配时权重选择的主观性,构建一种权重优化系数,可根据指标的差异度实时调节权重。通过建立六端交流系统小信号模型,运用根轨迹法对隶属函数中主导参数进行稳定性分析,进而确定参数选取范围。在MATLAB/SIMULINK中搭建光储六端交流系统模型并进行时域仿真,仿真结果可以验证所提控制策略的有效性。

    Abstract:

    In large-scale photovoltaic grid-connected systems, multiple virtual synchronous generator (VSG) units are often used to coordinate and provide virtual inertia for the grid. However, the unreasonable distribution of virtual inertia will lead to poor system frequency response and source-end vulnerability in actual operation. To solve this problem, this paper proposes an inertia coordination control strategy for hybrid optical storage multiple VSG cells. By using the membership function, the strategy converts three indicators of the state of charge of the energy storage unit, i.e., the adjustable power of the converter and the adjustable power of the energy storage charge and discharge, into the same dimension, so as to solve the problem of multi-objective conversion in the moment of inertia distribution. At the same time, the parameters in the membership function can be flexibly adjusted according to the index characteristics to adapt to the inertia distribution under different working conditions. By establishing a small signal model of six-terminal AC system, the root locus method is used to analyze the stability of the dominant parameters in the membership function, and then to determine the parameter selection range. The optical storage six-terminal AC system model was built in MATLAB/SIMULINK and the time domain simulation was carried out. The simulation results verified the effectiveness of the proposed control strategy.

    参考文献
    [1] 刘灏,商峻,毕天姝,等.基于实测数据的电网频率信号特征分析与提取方法[J].电力系统自动化,2023,47(10):135-144. LIU Hao,SHANG Jun,BI Tianshu,et al.Feature analysis and extraction method of power grid frequency signal based on measured data[J].Automation of Electric Power Systems,2023,47(10):135-144.
    [2] 朱介北,王云逸,仲悟之,等.基于超级电容的新能源惯量—阻尼—电抗综合模拟控制方案[J].电力系统保护与控制,2023,51(19):135-143. ZHU Jiebei,WANG Yunyi,ZHONG Wuzhi,et al.Composite inertia-damping-impedance emulation control scheme for renewable energy sources based on supercapacitor[J].Power System Protection and Control,2023,51(19):135-143.
    [3] 张克勇,王冠瑞,耿新,等.含高比例光—储单元的主动配电网并网功率分布式协同控制策略[J].电力科学与技术学报,2022,37(2):147-155. ZHANG Keyong,WANG Guanrui,GENG Xin,et al.Distributed cooperative control strategy for grid-connected power in ADN with high proportion of PV-ESS units[J].Journal of Electric Power Science and Technology,2022,37(2):147-155.
    [4] 于彦雪,马慧敏,陈晓光,等.弱电网下基于准静态模型的混合控制微电网逆变器同步稳定性研究[J].电工技术学报,2022,37(1):152-164. YU Yanxue,MA Huimin,CHEN Xiaoguang,et al.Synchronous stability research of inverters in hybrid microgrid based on the quasi-static models under weak grid[J].Transactions of China Electrotechnical Society,2022,37(1):152-164.
    [5] 禹海峰,马俊杰,周年光,等.面向储能惯量支撑能力评估的新型电力系统惯性系数辨识方法[J].智慧电力,2023,51(5):1-7+72. YU Haifeng,MA Junjie,ZHOU Nianguang,et al.New power system inertia coefficient identification method for energy storage inertia support capability evaluation[J].Smart Power,2023,51(5):1-7+72.
    [6] 张军六,李佳朋,唐震,等.基于本地测量的高比例新能源电力系统不平衡功率估算与附加功率控制策略[J].电力科学与技术学报,2022,37(3):50-60. ZHANG Junliu,LI Jiapeng,TANG Zhen,et al.Local measurement based unbalanced active power estimation and supplementary power modulation for power systems with high proportions of renewable energy[J].Journal of Electric Power Science and Technology,2022,37(3):50-60.
    [7] 杨萍,陈卓,罗婷,等.基于VSG的光伏发电与混合储能的控制方法[J].电网与清洁能源,2023,39(2):83-91+113. YANG Ping,CHEN Zhuo,LUO Ting,et al.A control method of photovoltaic power generation and hybrid energy storage based on VSG[J].Power System and Clean Energy,2023,39(2):83-91+113.
    [8] 赵炳洋,赵波,胡娟,等.考虑VSG构网储能暂态与稳态优化的自适应策略[J].高压电器,2023,59(7):39-47.ZHAO Bingyang,ZHAO Bo,HU Juan,et al.Adaptive strategy considering transient and steady-state optimization of VSG grid-forming energy storage[J].High Voltage Apparatus,2023,59(7):39-47.
    [9] 郑云平,亚夏尔·吐尔洪.基于VSG技术的风—光—储系统自适应调频控制策略研究[J].高压电器,2023,59(7):12-19. ZHENG Yunping,YAXAR·Turgun.Research on Adaptive Frequency Modulation Control Strategy of Wind-PV-storage System Based on VSG Technology[J].High Voltage Apparatus,2023,59(7):12-19.
    [10] 高子轩,赵晋斌,杨旭红,等.基于RBF的VSG转动惯量和阻尼系数自适应控制策略[J].电力建设,2022,43(9):132-139. GAO Zixuan,ZHAO Jinbin,YANG Xuhong,et al.RBF-based adaptive control strategy of rotational inertia and damping coefficient for VSG[J].Electric Power Construction,2022,43(9):132-139.
    [11] 陈来军,王任,郑天文,等.基于参数自适应调节的虚拟同步发电机暂态响应优化控制[J].中国电机工程学报,2016,36(21):5724-5731+6014. CHEN Laijun,WANG Ren,ZHENG Tianwen,et al.Optimal control of transient response of virtual synchronous generator based on adaptive parameter adjustment[J].Proceedings of the CSEE,2016,36(21):5724-5731+6014.
    [12] 项颂,苏鹏,吴坚,等.基于多源储能协同的交直流送端系统惯量优化控制模型[J].中国电力,2023,56(4):68-76. XIANG Song,SU Peng,WU Jian,et al.Inertia optimization control model of AC/DC sending-end system based on multi-source energy storage coordination[J].Electric Power,2023,56(4):68-76.
    [13] GUAN M Y,PAN W L,ZHANG J,et al.Synchronous generator emulation control strategy for voltage source converter (VSC) stations[J].IEEE Transactions on Power Systems,2015,30(6):3093-3101.
    [14] 王绪伟,苏建徽,秦骏达,等.基于补偿二乘法的VSG惯性辨识问题及解决方法[J].电测与仪表,2023,60(7):52-57. WANG Xuwei,SU Jianhui,QIN Junda,et al.Problems and solutions of VSG inertial identification based on compensation least squares[J].Electrical Measurement & Instrumentation,2023,60(7):52-57.
    [15] 姚玉永,张立臣,穆勇,等.基于自适应虚拟电机策略的微电网储能控制研究[J].供用电,2022,39(7):84-92. YAO Yuyong,ZHANG Lichen,MU Yong,et al.Research on energy storage control in microgrid based on adaptive virtual machine strategy[J].Distribution & Utilization,2022,39(7):84-92.
    [16] 方仍存,雷何,杨东俊,等.变流器辅助换流的柔性切换开关拓扑与控制[J].电力工程技术,2023,42(1):43-49+123. FANG Rengcun,LEI He,YANG Dongjun,et al.A converter-assisting flexible switch topology and its control strategy[J].Electric Power Engineering Technology,2023,42(1):43-49+123.
    [17] 范家铭,夏向阳.光伏发电并网的有功功率控制策略[J].电力科学与技术学报,2019,34(4):123-128+147. FAN Jiaming,XIA Xiangyang.Active power control strategy for grid connected photovoltaic power generation[J].Journal of Electric Power Science and Technology,2019,34(4):123-128+147.
    [18] 秦本双,徐永海.多虚拟同步机并网系统功频振荡模态分析[J].中国电机工程学报,2021,41(19):6570-6581. QIN Benshuang,XU Yonghai.Modal analysis of multi-virtual synchronous machine grid-connected power-frequency oscillation[J].Proceedings of the CSEE,2021,41(19):6570-6581.
    [19] 李建林,丁子洋,刘海涛,等.构网型储能变流器及控制策略研究[J].发电技术,2022,43(5):679-686. LI Jianlin,DING Ziyang,LIU Haitao,et al.Research on grid-forming energy storage converters and control strategies[J].Power Generation Technology,2022,43(5):679-686.
    [20] 艾松波,唐欣,王红亚.光伏电站附加阻尼控制器及控制参数优化设计[J].电力科学与技术学报,2020,35(6):21-27. AI Songbo,TANG Xin,WANG Hongya.Optimal design of additional damping controller and control parameters for photovoltaic power station[J].Journal of Electric Power Science and Technology,2020,35(6):21-27.
    [21] 孟建辉,赵彭辉,王毅,等.基于虚拟惯性控制的多光储单元协同运行研究[J].电网技术,2021,45(5):1921-1932. MENG Jianhui,ZHAO Penghui,WANG Yi,et al.Cooperative operation of optical storage system based on virtual inertial control[J].Power System Technology,2021,45(5):1921-1932.
    [22] 张波,颜湘武,黄毅斌,等.虚拟同步机多机并联稳定控制及其惯量匹配方法[J].电工技术学报,2017,32(10):42-52. ZHANG Bo,YAN Xiangwu,HUANG Yibin,et al.Stability control and inertia matching method of multi-parallel virtual synchronous generators[J].Transactions of China Electrotechnical Society,2017,32(10):42-52.
    [23] 胡超,张兴,石荣亮,等.独立微电网中基于自适应权重系数的VSG协调控制策略[J].中国电机工程学报,2017,37(2):516-525. HU Chao,ZHANG Xing,SHI Rongliang,et al.VSG coordinated control based on adaptive weight factors in islanded microgrids[J].Proceedings of the CSEE,2017,37(2):516-525.
    [24] 孟建辉,赵彭辉,王毅,等.基于TOPSIS算法的多VSG单元协同控制策略[J].电力自动化设备,2020,40(9):72-82. MENG Jianhui,ZHAO Penghui,WANG Yi,et al.Collaborative control strategy of multiple VSG units based on TOPSIS algorithm[J].Electric Power Automation Equipment,2020,40(9):72-82.
    [25] 赵嘉玉,韩肖清,梁琛,等.隶属函数与欧氏距离相结合的配电网优化重构[J].电网技术,2017,41(11):3624-3631. ZHAO Jiayu,HAN Xiaoqing,LIANG Chen,et al.Optimal distribution network reconfiguration combining fuzzy membership with euclidean distance[J].Power System Technology,2017,41(11):3624-3631.
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戎士洋,范 辉,梁纪峰,等.多VSG单元的惯量协调控制策略研究[J].电力科学与技术学报,2024,39(2):170-180.
RONG Shiyang, FAN Hui, LIANG Jifeng, et al. Research on inertia coordinated control strategy of multiple VSG cells[J]. Journal of Electric Power Science and Technology,2024,39(2):170-180.

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