高渗透率分布式电源控制方法

doi:10.12096/j.2096-4528.pgt.19093

摘要/Abstract

摘要：

微电网中可再生能源渗透率越来越高，微电网惯性和阻尼不足等问题越来越突出，而分布式电源控制是实现微电网控制及可靠运行的前提。根据PQ、V/f、Droop三种典型微电源控制方法的基本原理和基于VSG的新型整体控制策略，利用Matlab/Simulink仿真环境，在阐述原理的基础上，通过搭建仿真模型证明了各控制方法的正确性和实效性。所搭建的仿真模型可用于微电网离、并网运行研究，并为微电网的控制提供参考，具有一定的通用性和拓展性。

关键词: 微电网, 分布式电源, Matlab/Simulink, 控制方法

Abstract:

In view of the increasing permeability of renewable energy in microgrid, the problems of inertia and insufficient damping of microgrid are more and more prominent. The distributed power control has become a prerequisite for the control and reliable operation of microgrid. According to the basic principles of three typical micro-power control methods (i.e., PQ, V/f and Droop), and the new overall control strategy based on VSG, the simulation models were built in the Matlab/Simulink environment. Moreover, the correctness and effectiveness of the designed models were verified. The results show that the designed models can be used to study the off-grid and grid-connected operation of microgrid. The models have good versatility and scalability, and can provide a reference for the control of microgrid.

Key words: microgrid, distributed power, Matlab/Simulink, control method

中图分类号:

TK01
TM74

陆永耕, 李建刚, 黄禹铭, 李柏玉. 高渗透率分布式电源控制方法[J]. 发电技术, 2021, 42(1): 103-114.

Yonggeng LU, Jiangang LI, Yuming HUANG, Baiyu LI. High-permeability Distributed Power Control Method[J]. Power Generation Technology, 2021, 42(1): 103-114.

图/表 24

图1 微电网结构

Fig.1 Schematic diagram of a microgrid

图2 三相电压型逆变器控制系统结构

Fig.2 Block diagram of three-phase voltage inverter control system

图3 PQ控制原理

Fig.3 Principles of PQ control

图4 PQ控制结构

Fig.4 Block diagram of PQ control

图5 功率控制和电流控制的结构

Fig.5 Block diagram of power and current control

图6 PQ控制模型

Fig.6 Model of PQ control

图7 PQ控制仿真模型

Fig.7 Simulation model of PQ control

表1 PQ控制仿真模型参数设置

Tab. 1 Parameter setting of PQ controlsimulation model

模块	参数设置
DG	V_dc=800 V，r=0.01Ω，L=0.009 H，C=500 μF
PQ	0~0.5 s：P_ref=40 kW，Q_ref=30 kV·A 0.5~1.0 s：P_ref=45 kW，Q_ref=47 kV·A 电流环：k_ip=30，k_ii=100
负载	P=50 kW，Q=0 kV·A
配电网	三相对称，$u = 220\sqrt 2 \sin \left( {100{\rm{ }}\pi t} \right)$

图8 PQ控制仿真结果

Fig.8 Simulation results of PQ control

图9 V/f控制原理

Fig.9 Principles of V/f control

图10 V/f控制结构

Fig.10 Block diagram of V/f control

图11 V/f控制模型

Fig.11 Model of V/f control

图12 V/f控制仿真模型

Fig.12 Simulation model of V/f control

表2 V/f控制仿真模型参数设置

Tab. 2 Parameter setting of V/f controlsimulation model

模块	参数设置
微电源	V_dc=1 000 V，R=0.1Ω，L=800 μH，C=500 μF
V/f	0~0.5 s：U_load-ref=220 V(负载相间电压有效值) 0.5~1.0 s：U_load-ref=380 V 电流环PI：k_ip=10，k_ii=2 000 电压环P：k_p=0.5
负载	P=50 kW，Q=0 kV·A

图13 V/f控制仿真结果

Fig.13 Simulation results of V/f control

图14 Droop控制原理

Fig.14 Principles of Droop control

图15 Droop控制结构

Fig.15 Block diagram of Droop control

图16 Droop控制仿真模型

Fig.16 Simulation model of Droop control

表3 Droop控制仿真模型参数设置

Tab. 3 Parameter setting of Droop controlsimulation model

模块	参数设置
DG	V_dc=1 000 V，r=0.01Ω，L=800 μH，C=500 μF
Droop	0~0.5 s，负载1、2同时运行；0.5 s，切除负载2 $ a={\rm{e}}^{5}，b=\rm{1/}3{\rm{e}}^{5}$，P_n=50 kW，f_n=50 Hz，U_n=380 V 电流环PI，k_ip=10，k_ii=2 000；电压环P，k_p=0.5
负载1	P₁=60 kW，Q₁=7.8 kV·A
负载2	P₂=15 kW，Q₂=7.2 kV·A

图17 Droop控制仿真结果

Fig.17 Simulation results of Droop control

图18 VSG控制结构

Fig.18 Block diagram of VSG control

图19 VSG控制仿真模型

Fig.19 Simulation model of VSG control

表4 VSG控制仿真模型参数设置

Tab. 4 Parameter setting of VSG controlsimulation model

模块	参数设置
DG	V_dc=800 V，r=0.1Ω，L=600 μH，C=1 500 μF
Droop	0~0.5 s：负载1、2同时运行 0.5 s：切除负载2 D_p=40.5，D_q=227.3，J=0.5 P_n=20 kW，Q_n=0 kV·A f_n=50 Hz，U_ref=311 V 电流环PI：k_ip=30，k_ii=100 电压环P：k_p=0.5
负载1	P₁=40 kW，Q₁=0 kV·A
负载2	P₂=10 kW，Q₂=10 kV·A

图20 VSG控制仿真结果

Fig.20 Simulation results of VSG control

参考文献 22

1	杨亮, 王聪, 吕志鹏, 等. 模拟同步发电机特性的同步逆变器研制[J]. 电力系统及其自动化学报, 2014, 26 (11): 12- 16.
	YANG L , WANG C , LÜ Z P , et al. Prototype validation of synchronverter for synchronous-generator-emulated[J]. Proceedings of the CSU-EPSA, 2014, 26 (11): 12- 16.
2	李云波, 张子立, 张晋宾, 等. 基于区块链的分布式微电网交易与能源调度研究[J]. 华电技术, 2020, 42 (8): 24- 31.
	LI Y B , ZHANG Z L , ZHANG J B , et al. Energy trading and scheduling on micro-grid based on blockchain technology[J]. Huadian Technology, 2020, 42 (8): 24- 31.
3	郑天文, 陈来军, 陈天一, 等. 虚拟同步发电机技术及展望[J]. 电力系统自动化, 2015, 39 (21): 165- 175.
	ZHENG T W , CHEN L J , CHEN T Y , et al. Review and prospect of virtual synchronous generator technologies[J]. Automation of Electric Power Systems, 2015, 39 (21): 165- 175.
4	胡兵轩, 任庭昊, 车洵, 等. 基于QPCI控制的微电网并网逆变器控制技术研究[J]. 智慧电力, 2020, 48 (1): 23- 27.
	HU B X , REN T H , CHE X , et al. Single-phase grid-connected inverter control technology for microgrid based on QPCI control[J]. Smart Power, 2020, 48 (1): 23- 27.
5	王成山, 李琰, 彭克. 分布式电源并网逆变器典型控制方法综述[J]. 电力系统及其自动化学报, 2012, 24 (2): 12- 20.
	WANG C S , LI Y , PENG K . Overview of typical control methods for grid-connected inverters of distributed generation[J]. Proceedings of the CSU-EPSA, 2012, 24 (2): 12- 20.
6	廖碧莲, 唐江琦, 吴誉寰, 等. 光伏并网逆变器控制策略研究[J]. 分布式能源, 2019, 4 (3): 50- 55.
	LIAO B L , TANG J Q , WU Y H , et al. Control strategy of photovoltaic grid-connected inverter[J]. Distributed Energy, 2019, 4 (3): 50- 55.
7	钟庆昌. 虚拟同步机与自主电力系统[J]. 中国电机工程学报, 2017, 37 (2): 336- 349.
	ZHONG Q C . Virtual synchronous machines and autonomous power systems[J]. Proceedings of the CSEE, 2017, 37 (2): 336- 349.
8	程启明, 李涛, 程尹曼, 等. 基于改进P-Q控制的光伏准Z源T型逆变器并网控制系统[J]. 广东电力, 2018, 31 (9): 54- 61.
	CHENG Q M , LI T , CHEN Y M , et al. Grid-connected control system of photovoltaic quasi-Z-source T-type inverter based on improved P-Q control[J]. Guangdong Electric Power, 2018, 31 (9): 54- 61.
9	赵兴勇, 贺天云, 陈浩宇, 等. 多功能逆变器在微电网储能系统中的应用[J]. 电网与清洁能源, 2019, 35 (1): 36- 43.
	ZHAO X Y , HE T Y , CHEN H Y , et al. Application of multifunctional inverter in energy storage system of micro-grid[J]. Power System and Clean Energy, 2019, 35 (1): 36- 43.
10	ZHONG Q C , MA Z , MING W L , et al. Grid-friendly wind power systems based on the synchronverter technology[J]. Energy Conversion and Management, 2015, 8 (9): 719- 726.
11	陈磊, 符仕浩, 成佳斌, 等. 分布式发电系统并网逆变器高稳态性能重复控制策略[J]. 浙江电力, 2019, 38 (10): 6- 11.
	CHEN L , FU S H , CHENG J B , et al. High steady-state performance repetitive control approach for grid-connected inverter of distributed generation system[J]. Zhejiang Electric Power, 2019, 38 (10): 6- 11.
12	ZHONG Q C , KONSTANTOPOULOS G C , REN B B , et al. Improved synchronverters with bounded frequency and voltage for smart grid integration[J]. IEEE Transactions on Smart Grid, 2016, 1- 11.
13	范丽霞, 蔡瑞强, 张欢畅, 等. 电压型虚拟同步发电机控制策略下的双馈风电机组阻抗及次同步振荡特性[J]. 发电技术, 2019, 40 (5): 434- 439.
	FAN L X , CAI R Q , ZHANG H C , et al. Impedance and sub-synchronous oscillation characteristics of doubly-fed induction generators with control strategy of voltage virtual synchronous generator[J]. Power Generation Technology, 2019, 40 (5): 434- 439.
14	卞艺衡, 桂恒立, 别朝红. 考虑重构和微电网分区的分布式电源优化配置[J]. 智慧电力, 2020, 48 (7): 8- 15.
	BIAN Y H , GUI H L , BIE Z H . Optimal DG allocation considering reconfiguration and microgrid zoning[J]. Smart Power, 2020, 48 (7): 8- 15.
15	郭亦宗, 郭创新. 基于虚拟同步发电机的微电网并离网安全控制策略[J]. 发电技术, 2020, 41 (6): 650- 658.
	GUO Y Z , GUO C X . Security control strategy of micro-grid between grid-connected and off-grid based on virtual synchronous generator[J]. Power Generation Technology, 2020, 41 (6): 650- 658.
16	舒海莲. 微电网运行特性及其控制研究[D]. 上海: 上海电力学院, 2011.
	SHU H L.Research of microgrid for its operation characteristic and control[D].Shanghai: Shanghai University of Electric Power, 2011.
17	曹元峥. 基于虚拟同步发电机的微电网逆变器控制策略研究[D]. 合肥: 合肥工业大学, 2017.
	CAO Y Z.Research on control strategy of microgrid inverter based on virtual synchronous generator[D]. Hefei: Hefei University of Technology, 2017.
18	万达. 基于虚拟同步发电机的微网逆变器控制策略研究[D]. 沈阳: 沈阳工业大学, 2018.
	WAN D.Study on the control strategy of inverter in microgrid based on virtual synchronous generator[D].Shenyang: Shenyang University of Technology, 2018.
19	司家荣, 蔡国伟, 孙正龙, 等. 基于下垂控制逆变器的虚拟发电机建模与特性研究[J]. 电测与仪表, 2017, 54 (22): 116- 122.
	SI J R , CAI G W , SUN Z L , et al. Modeling and virtual synchronous generator characteristics research based on droop-controlled inverters[J]. Electrical Measurement & Instrumentation, 2017, 54 (22): 116- 122.
20	董宜鹏, 谢小荣, 孙浩, 等. 微网电池储能系统通用综合控制策略[J]. 电网技术, 2013, 37 (12): 3310- 3316.
	DONG Y P , XIE X R , SUN H , et al. A general-purpose control strategy for battery energy storage system in microgrid[J]. Power System Technology, 2013, 37 (12): 3310- 3316.
21	胡长斌, 王鑫, 罗珊娜, 等. 微电网多微源能量优化协调控制[J]. 中国电机工程学报, 2015, 35 (S1): 36- 43.
	HU C B , WANG X , LUO S N , et al. Energy optimization coordination control of multi-sources in microgrid[J]. Proceedings of the CSEE, 2015, 35 (S1): 36- 43.
22	陈文倩, 辛小南, 程志平. 基于虚拟同步发电机的光储并网发电控制技术[J]. 电工技术学报, 2018, 33 (S2): 538- 545.
	CHEN W Q , XIN X N , CHENG Z P . Control of grid-connected of photovoltaic system with storage based on virtual synchronous generator[J]. Transactions of China Electrotechnical Society, 2018, 33 (S2): 538- 545.

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