Coordinated Control Strategy of New Energy DC Collection System

doi:10.12204/j.issn.1000-7229.2022.05.014

Abstract

Abstract:

In this paper, a group of integrated of and coordinated control strategy for new energy DC collection system is proposed, which is divided into two parts: power control and voltage control. Power control includes planned power control within the group and power control of connecting lines between groups. The planned power control within the group takes into account the time-of-use price of power grid and energy storage, which can improve the economy of system operation. The connection-wire power control based on DC group control error (DGCE) is adopted for the power control of the connecting line between clusters, which not only ensures the power interchange benefit between clusters, but also realizes the independence of clustering operation as far as possible. The voltage control adopts voltage secondary control combined with droop control based on distributed consistency algorithm to make the DC collection system run at a better voltage level. Finally, MATLAB/Simulink simulation software is used to verify the operation state of DC collection system in unit working day. The results show that the economy and voltage level of the system are improved after the control strategy is adopted, and the power flow is more reasonable.

Key words: new energy, DC collection system, consensus algorithm, connection wire power, economical efficiency

CLC Number:

TM73

LIU Fei, ZHAO Chenghao, WANG Shibin, TIAN Xu, LIU Liantao, ZHU Xiaorong. Coordinated Control Strategy of New Energy DC Collection System[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(5): 127-136.

Figures/Tables 17

Fig.1 DC collection system

Fig.2 Power flow of DC collection system

Fig.3 Control system for DC collection system

Fig.4 Group state division

Fig.5 Voltage secondary control

Fig.6 Topology of communication between nodes

Fig.7 Voltage secondary control based on consistency control

Fig.8 Block diagram of power-voltage coordination control

Fig.9 Simulation topology of DC collection system

Table 1 Power parameters of DC collection systemkW

Table 2 Partial system parameters of DC collection system

Table 3 Prediction value of fan output and load power within the clusterkW

Table 4 Planned output power value of grid-connected unit and energy storage unit within the clusterkW

Fig.10 Simulation waveforms in Case I

Table 5 Prediction value of wind power output and load power within the clusterkW

Table 6 Planned output power value of grid-connected unit and energy storage unit within the clusterkW

Fig.11 Simulation waveform in Case II

References 20

[1]	田艳军, 官仕卿, 王毅, 等. 光伏直流汇集系统中母线开关电容稳压控制及短路电流抑制[J/OL]. 高电压技术, 2021: 1-12(2021-02-20)[2021-11-21]. https://doi.org/10.13336/j.1003-6520.hve.20201727.
	TIAN Yanjun, GUAN Shiqing, WANG Yi, et al. Voltage stabilization control and short circuit current suppression of switching capacitor in photovoltaic power DC collection system[J]. High Voltage Engineering, 2021: 1-12(2021-02-20) [2021-11-21]. https://doi.org/10.13336/j.1003-6520.hve.20201727.
[2]	王超, 霍超, 常海军, 等. 多类型电源汇集直流外送系统切机策略优化研究[J]. 电网与清洁能源, 2020, 36(7): 16-23, 29.
	WANG Chao, HUO Chao, CHANG Haijun, et al. A study on the optimization of generator tripping control of the HVDC sending system with multi-type power[J]. Power System and Clean Energy, 2020, 36(7): 16-23, 29.
[3]	张赟, 王琛, 王毅, 等. 基于自适应下垂控制的直流微电网多储能SOC动态均衡策略[J]. 华北电力大学学报(自然科学版), 2020, 47(5): 21-29.
	ZHANG Yun, WANG Chen, WANG Yi, et al. SOC dynamic balancing strategy for multi-energy storage based on adaptive droop control in DC microgrid[J]. Journal of North China Electric Power University (Natural Science Edition), 2020, 47(5): 21-29.
[4]	梁海峰, 丁锦睿, 边吉. 考虑通信延时的直流微网分组一致性控制策略研究[J]. 华北电力大学学报(自然科学版), 2021, 48(2): 20-29, 39.
	LIANG Haifeng, DING Jinrui, BIAN Ji. Research on control strategy of DC microgrids based on group consensus algorithm considering communication delay[J]. Journal of North China Electric Power University (Natural Science Edition), 2021, 48(2): 20-29, 39.
[5]	张适宜, 周明, 黄瀚燕, 等. 新能源基地多端柔性直流汇集系统运行灵活性研究[J]. 电网技术, 2020, 44(10): 3846-3857.
	ZHANG Shiyi, ZHOU Ming, HUANG Hanyan, et al. Operational flexibility optimization of renewables generation multi-terminal flexible DC collector system[J]. Power System Technology, 2020, 44(10): 3846-3857.
[6]	梁海峰, 边吉, 丁锦睿, 等. 基于滑模控制的孤岛直流微电网控制策略研究[J]. 华北电力大学学报(自然科学版), 2021, 48(1): 15-23, 41.
	LIANG Haifeng, BIAN Ji, DING Jinrui, et al. Research on control strategy of isolated DC microgrid based on sliding mode control[J]. Journal of North China Electric Power University (Natural Science Edition), 2021, 48(1): 15-23, 41.
[7]	田艳军, 陈波, 王毅, 等. 光伏直流升压汇集系统改进功率权重分层控制策略[J]. 高电压技术, 2019, 45(10): 3247-3255.
	TIAN Yanjun, CHEN Bo, WANG Yi, et al. Improved power weight hierarchical control strategy for the photovoltaic DC boost system[J]. High Voltage Engineering, 2019, 45(10): 3247-3255.
[8]	刘海涛, 熊雄, 季宇, 等. 直流配电下多微网系统集群控制研究[J]. 中国电机工程学报, 2019, 39(24): 7159-7167, 7489.
	LIU Haitao, XIONG Xiong, JI Yu, et al. Cluster control research of multi-microgrids system under DC distribution system[J]. Proceedings of the CSEE, 2019, 39(24): 7159-7167, 7489.
[9]	SHAFIEE Q, DRAGI EVI T, VASQUEZ J C, et al. Hierarchical control for multiple DC-microgrids clusters[J]. IEEE Transactions on Energy Conversion, 2014, 29(4): 922-933. doi: 10.1109/TEC.2014.2362191 URL
[10]	SHAHBAZI M, KAZEMTABRIZI B, DENT C. Coordinated control of DC voltage magnitudes and state of charges in a cluster of DC microgrids[C]// 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe. Ljubljana, Slovenia: IEEE, 2016: 1-5.
[11]	张步云, 王晋宁, 梁定康, 等. 采用一致性算法的自治微电网群分布式储能优化控制策略[J]. 电网技术, 2020, 44(5): 1705-1713.
	ZHANG Buyun, WANG Jinning, LIANG Dingkang, et al. Optimization control strategy of distributed energy storage in autonomous microgrid cluster on consensus algorithm[J]. Power System Technology, 2020, 44(5): 1705-1713.
[12]	LI X L, GUO L, LI Y W, et al. Flexible interlinking and coordinated power control of multiple DC microgrids clusters[J]. IEEE Transactions on Sustainable Energy, 2018, 9(2): 904-915. doi: 10.1109/TSTE.2017.2765681 URL
[13]	GUO L, LI P F, LI X L, et al. Flexible control of DC interlinked multiple MGs cluster[J]. IET Generation, Transmission & Distribution, 2019, 13(11): 2088-2101. doi: 10.1049/iet-gtd.2018.5376 URL
[14]	李霞林, 李志旺, 郭力, 等. 交直流微电网集群柔性控制及稳定性分析[J]. 中国电机工程学报, 2019, 39(20): 5948-5961, 6175.
	LI Xialin, LI Zhiwang, GUO Li, et al. Flexible control and stability analysis of AC/DC microgrids clusters[J]. Proceedings of the CSEE, 2019, 39(20): 5948-5961, 6175.
[15]	LI Y L, DONG P, LIU M B, et al. A distributed coordination control based on finite-time consensus algorithm for a cluster of DC microgrids[J]. IEEE Transactions on Power Systems, 2019, 34(3): 2205-2215. doi: 10.1109/TPWRS.2018.2878769 URL
[16]	李鹏, 张雪松, 赵波, 等. 多微网多并网点结构微网设计和模式切换控制策略[J]. 电力系统自动化, 2015, 39(9): 172-178.
	LI Peng, ZHANG Xuesong, ZHAO Bo, et al. Structural design and mode switching control strategies of multi-microgrid with several PCCs[J]. Automation of Electric Power Systems, 2015, 39(9): 172-178.
[17]	朱晓荣, 赵澄颢, 马英乔. 直流微电网集群多状态运行分级协调控制策略[J]. 电力自动化设备, 2021, 41(5): 128-135.
	ZHU Xiaorong, ZHAO Chenghao, MA Yingqiao. Grading coordinated control strategy of multi-state operation for DC microgrid cluster[J]. Electric Power Automation Equipment, 2021, 41(5): 128-135.
[18]	KATTAKAYAM T A, SRINIVASAN K. Lead acid batteries in solar refrigeration systems[J]. Renewable Energy, 2004, 29(8): 1243-1250. doi: 10.1016/j.renene.2003.12.019 URL
[19]	杨丘帆, 黄煜彬, 石梦璇, 等. 基于一致性算法的直流微电网多组光储单元分布式控制方法[J]. 中国电机工程学报, 2020, 40(12): 3919-3928.
	YANG Qiufan, HUANG Yubin, SHI Mengxuan, et al. Consensus based distributed control for multiple PV-battery storage units in DC microgrid[J]. Proceedings of the CSEE, 2020, 40(12): 3919-3928.
[20]	MORSTYN T, HREDZAK B, AGELIDIS V G. Distributed cooperative control of microgrid storage[J]. IEEE Transactions on Power Systems, 2015, 30(5): 2780-2789. doi: 10.1109/TPWRS.2014.2363874 URL