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采用一致性下垂控制的多储能微电网的协调运行研究

Cooperative Control Strategy of Multi-energy Storage Microgrids based on Consensus Droop Control
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摘要 直流微电网的主要控制目标是确保合理分配负荷至每个微源并保持直流电压稳定.提出一种基于一致性下垂的分布式协调控制策略,用于具有多个储能单元的直流微电网.使多个储能单元在分层控制的框架下根据一致性协议实现协调控制:第1层控制采用P-V下垂控制方法;第2层控制采用基于离散一致性算法的二次电压补偿;第3层控制各储能单元的荷电状态,得到最优下垂系数.该控制方法在低通信条件下通过本地信息可以进行全局控制,实现母线电压调节和精确的功率分配.在Simulink中建立仿真模型,仿真结果表明可以实现功率均衡的分配,很好地控制了系统能量的平衡. The two main control objectives of DC microgrid are to ensure that loads are properly distributed to each microsource and DC voltage is kept stable.In this paper,a distributed coordination control strategy based on consistency droop control is proposed for a DC microgrid with multiple energy storage units,enabling multiple energy storage units to achieve coordinated control under hierarchical control framework according to the consistency agreement:Layer 1 control uses P-V droop control method;Layer 2 control uses the secondary voltage compensation based on discrete consistency algorithm;Layer 3 controls the state of charge of each energy storage unit for optimal droop coefficient.This method can be used for global control based on local information under low-communication conditions to achieve bus voltage regulation and precise power distribution.Finally,a simulation model is established in Simulink to verify the effectiveness of the control strategy designed under different conditions.
作者 瞿吉 董学育 安允展 QU Ji;DONG Xue-yu;AN Yun-zhan(School of Electric Power Engineering,Nanjing Institute of Technology,Nanjing 211167,China)
出处 《南京工程学院学报(自然科学版)》 2018年第4期34-40,共7页 Journal of Nanjing Institute of Technology(Natural Science Edition)
关键词 一致性算法 直流微电网 分层控制 下垂控制 协调运行 consensus algorithm DC microgrids hierarchical control droop control cooperative control
作者简介 瞿吉,硕士,助理工程师,研究方向为微电网协调运行.E-mail:925453002@qq.com
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  • 1石纯一,王克宏,王学军,康小强,罗翊,胡军.分布式人工智能进展[J].模式识别与人工智能,1995,8(A01):72-92. 被引量:19
  • 2王晓虹,艾芊.直流微电网在配电系统中的研究现状与前景[J].低压电器,2012(5):1-7. 被引量:30
  • 3OLFATI-SABER R. Consensus and cooperation in networked multi-a- gent systems[ J]. Proc of IEEE,2007,95( 1 ) :215-233.
  • 4REN Wei, BEARD R W. Consensus seeking in multiagent systems under dynamically changing interaction topologies [ J ]. Automatic Control ,2005,50 (5) :655- 661.
  • 5VICSEK T, CZIROK A, BEN-JACOB E, et al. Novel type of phase transition in a system of self-driven particles [ J ]. Physical Review Letters, 1995,75 ( 6 ) : 1226-1229.
  • 6OLFATI-SABER R. Flocking for multi-agent dynamic systems: algo- rithms and theory[ J]. Automatic Control ,2006,51 (3) :401-420.
  • 7SU Hou-sheng, WANG Xiao-fan, LIN Zong-li. Flocking of multi- agents with a virtual leader[ J ]. Automatic Control, 2009,54 ( 2 ) : 293-307.
  • 8SHI Hong, WANG Long, CHU Tian-guang. Virtual leader approach to coordinated control of multiple mobile agents with asymmetric inte- ractions[ J]. Physica D : Nonlinear Phenomena, 2006,213 ( 1 ) : 51-65.
  • 9BLONDEL V D, HENDRICKX J M, OLSHEVSKY A, et al. Conver- gence in multiagent eorrdination, consensus, and flocking [ C ]//Proc of the 44th IEEE European Control Conference on Decision and Control. 2005.
  • 10GAZI V, PASSINO K M. Stability analysis of social foraging swarms [J]. Systems, Man, and Cybernetics Part B: Cybernetics, 2004,34( 1 ) :535-557.

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