Research on Virtual Inertial Control Strategy of DC Microgrid With Photovoltaic and Storage System Based on Passivity-based Control

doi:10.12096/j.2096-4528.pgt.20080

Abstract

Abstract:

In order to overcome the susceptibility of DC microgrid with photovoltaic and storage system (DMPSS) to power fluctuations and load disturbances, a VDCM+PBC strategy was formed. That is, in the control of energy storage converter, a passivity-based control (PBC) was adopted in current-loop, and a virtual DC machine (VDCM) control strategy was introduced in voltage-loop. Simulation results show that, compared with the VDCM+PI strategy (i. e., the voltage-loop is VDCM control and the current-loop is PI control), the VDCM+PBC strategy can reduce the bus voltage fluctuations when the load and photovoltaic output power changes. The improved stability of DC bus voltage verifies the feasibility of the proposed VDCM+PBC strategy.

Key words: DC microgrid with photovoltaic and storage system (DMPSS), passivity-based control, virtual DC machine control (VDCM), fluctuation of DC bus voltage

CLC Number:

TK01
TM76

Jixin YANG, Jiuhe WANG, Mian WANG, Zhenye WANG. Research on Virtual Inertial Control Strategy of DC Microgrid With Photovoltaic and Storage System Based on Passivity-based Control[J]. Power Generation Technology, 2021, 42(5): 576-584.

Figures/Tables 15

Fig.1 Topology of DMPSS

Fig.2 Equivalent topology of bidirectional DC-DC converter

Fig.3 Small signal equivalent circuit of bidirectional DC-DC converter

Fig.4 Small signal model of current loop

Fig.5 Unit step response of ΔiL

Fig.6 DC machine model

Fig.7 Block diagram of VDCM contro

Fig.8 Impacts of J and DF on Tm

Fig.9 Block diagram of DMPSS control

Tab. 1 Parameters of simulation

参数	数值	参数	数值
v_ba/V	140	ω_n/(rad/s)	80
L_ba/mH	2	r/Ω	1
C₁/μF	1 100	阻尼系数D_F	5
r_b1	10	开关频率f_s/kHz	10

Fig.10 Simulation results when the load step-changes

Fig.11 Simulation results of vbus under different J and load

Fig.12 Simulation results when the photovoltaic output power step-changes

Fig.13 Simulation results of vbus under different J and output power

Tab. 2 Index comparison of dynamic response of DC bus voltage

条件	指标	VDCM+PBC	VDCM+PI
负载变化	Δv_bus1, Δv_bus2/V	18.6, 26.6	23.5, 34.0
负载变化	t_r1, t_r2/s	0.35, 0.40	0.25, 0.26
光伏输出	Δv_bus1, Δv_bus2/V	47.6, 25.2	62.0, 33.8
功率变化	t_r1, t_r2/s	0.45, 0.42	0.26, 0.28

References 17

1	周孝信, 陈树勇, 鲁宗相. 电网和电网技术发展的回顾与展望: 试论三代电网[J]. 中国电机工程学报, 2013, 32 (22): 1- 11.
	ZHOU X X , CHEN S Y , LU Z X . Review and prospect for system development and related technologies: a concept of three-generation power systems[J]. Proceedings of the CSEE, 2013, 33 (22): 1- 11.
2	陈永进, 吴杰康, 翁兴航, 等. 水风储微电网电源容量的优化配置[J]. 电力工程技术, 2019, 38 (6): 137- 146.
	CHEN Y J , WU J K , WENG X H , et al. Optimal sizing of microgrids with wind-hydropower-energy storage[J]. Electric Power Engineering Technology, 2019, 38 (6): 137- 146.
3	朱晓荣, 蔡杰, 王毅, 等. 风储直流微网虚拟惯性控制技术[J]. 中国电机工程学报, 2016, 36 (1): 49- 58.
	ZHU X R , CAI J , WANG Y , et al. Virtual inertia control of wind-battery-based DC micro-grid[J]. Proceedings of the CSEE, 2016, 36 (1): 49- 58.
4	舒恺, 刘峰, 郭高鹏, 等. 并网型直流微电网协调控制策略[J]. 电网与清洁能源, 2020, 36 (11): 58- 67. DOI
	SHU K , LIU F , GUO G P , et al. The coordinated control strategy for grid-connected DC microgrid[J]. Power System and Clean Energy, 2020, 36 (11): 58- 67. DOI
5	于海, 孙亮, 岳云凯, 等. 基于微型燃气轮机的多微源直流微网主从协调控制[J]. 电力工程技术, 2019, 38 (6): 107- 114.
	YU H , SUN L , YUE Y K , et al. Master-slave coordinated control of multi-micro-source DC microgrid based on micro turbine[J]. Electric Power Engineering Technology, 2019, 38 (6): 107- 114.
6	卢昕, 陈众励, 李辉. 基于自抗扰控制的直流微电网双向Buck-Boost变换器控制策略研究[J]. 发电技术, 2021, 42 (2): 193- 200.
	LU X , CHEN Z L , LI H . Research on control strategy of bidirectional Buck-Boost converter in DC microgrid based on active disturbance rejection control[J]. Power Generation Technology, 2021, 42 (2): 193- 200.
7	张辉, 谭树成, 肖曦, 等. 具有直流电机特性的储能接口变换器控制策略[J]. 高电压技术, 2018, 44 (1): 119- 125.
	ZHANG H , TAN S C , XIAO X , et al. Control strategy of energy storage converter with DC machine characteristics[J]. High Voltage Engineering, 2018, 44 (1): 119- 125.
8	GAVRILUTA C , CANDELA J I , ROCABERT J , et al. Adaptive droop for control of multiterminal DC bus intergrating energy storage[J]. IEEE Transactions on Power Delivery, 2015, 30 (1): 16- 24. DOI
9	吴明哲, 陈武晖. VSC-HVDC稳定控制研究[J]. 发电技术, 2019, 40 (1): 28- 39.
	WU M Z , CHEN W H . Overview of research on stability and control of VSC-HVDC[J]. Power Generation Technology, 2019, 40 (1): 28- 39.
10	支娜, 张辉. 直流微电网改进分级控制策略研究[J]. 高电压技术, 2016, 42 (4): 1316- 1325.
	ZHI N , ZHANG H . Improved hierarchical control strategy for DC microgrid[J]. High Voltage Engineering, 2016, 42 (4): 1316- 1325.
11	吴在军, 谢兴峰, 杨景刚, 等. 直流配电网电压控制技术综述[J]. 电力工程技术, 2021, 40 (2): 59- 67.
	WU Z H , XIE X F , YANG J G , et al. A review on voltage control strategies in DC distribution network[J]. Electric Power Engineering Technology, 2021, 40 (2): 59- 67.
12	李彪, 菅永, 曹雪源, 等. 基于主从控制的微电网电压质量改善策略[J]. 电力工程技术, 2020, 39 (6): 117- 123.
	LI B , JIAN Y , CAO X Y , et al. Strategy for improving voltage quality of microgrid based on master-slave control[J]. Electric Power Engineering Technology, 2020, 39 (6): 117- 123.
13	王创, 景妍妍. 基于自抗扰控制的双向DC-DC变换器并联均流控制[J]. 电机与控制应用, 2020, 47 (5): 94- 99.
	WANG C , JING Y Y . Parallel current sharing control of bidirectional DC-DC converter based on active disturbance rejection control[J]. Electric Machines & Control Application, 2020, 47 (5): 94- 99.
14	邹儒泉, 何睿, 高文根. 滑模控制在三相交错并联双向DC-DC变换器中的应用[J]. 齐齐哈尔大学学报(自然科学版), 2020, 36 (1): 1- 5.
	ZHOU R Q , HE R , GAO W G . Sliding mode control in three-phase alternating parallel bi-directional DC-DC converter application[J]. Journal of Qiqihar University (Natural Science Edition), 2020, 36 (1): 1- 5.
15	孙石涛, 王久和, 李萍, 等. 基于EL模型的光储微网无源控制器设计[J]. 电气工程学报, 2019, 14 (3): 16- 22.
	SUN S T , WANG J H , LI P , et al. Design of passive controller for optical storage microgrid based on EL model[J]. Journal of Electrical Engineering, 2019, 14 (3): 16- 22.
16	柴建云, 赵杨阳, 孙旭东, 等. 虚拟同步发电机技术在风力发电系统中的应用与展望[J]. 电力系统自动化, 2018, 42 (9): 17- 25.
	CHAI J Y , ZHAO Y Y , SUN X D , et al. Application and prospect of virtual synchronous generator in wind power generation system[J]. Automation of Electric Power Systems, 2018, 42 (9): 17- 25.
17	王久和. 先进非线性控制理论及其应用[M]. 北京: 科学出版社, 2012: 78- 91.
	WANG J H . Advanced nonlinear control theory and its applications[M]. Beijing: Science Press, 2012: 78- 91.