一种基于一致性算法的改进下垂控制策略
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(1.太原理工大学电力系统运行与控制山西重点实验室,山西 太原 030024; 2.国网山西省电力公司电力科学研究院,山西 太原 030012)

作者简介:

张 莹(1992—),女,硕士,研究方向为电力电子控制技术;E-mail: 729060301@qq.com 孟润泉(1968—),男,通信作者,博士,教授,研究方向为电力电子技术及其在电力系统中的应用研究。E-mail: mengrunquan@126.com

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基金项目:

山西省科技重大专项(20181102028);国网山西省电力公司科技项目(520530180011);国家自然科学基金项目(U1610121)


An improved droop control strategy based on a consensus algorithm
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(1. Shanxi Key Lab of Power System Operation and Control, Taiyuan University of Technology, Taiyuan 030024, China; 2. Electric Power Research Institute, State Grid Shanxi Electric Power Company, Taiyuan 030012, China)

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    摘要:

    当微电网运行于孤岛模式时,分布式电源可通过下垂控制实现功率的自主分配。由于传统的基于解耦模型的下垂控制忽略了线路阻抗不一致的影响,从而导致功率分配不均以及环流的问题,影响了分布式电源的效率,甚至会造成分布式电源过载。针对以上问题,提出一种基于一致性算法的改进下垂控制策略。该方法利用相邻通信获取逆变器输出无功信息,本地控制器通过一致性算法对各逆变器间无功差值进行动态修正直至偏差趋于零,在减少通信量的同时实现了无功功率的精确分配。在Matlab/Simulink仿真平台搭建模型,通过与传统控制策略的比较,验证了所提控制策略的有效性。

    Abstract:

    When a microgrid operates in island mode, distributed generation can realize autonomous power distribution through droop control. The traditional droop based on a decoupling system model ignores the influence of line impedance inconsistencies, resulting in uneven power distribution and circulating current problems. These affect the efficiency of distributed generation, and may even cause distributed generation overload. In response to the above problems, this paper proposes an improved droop control strategy based on a consensus algorithm. This method uses adjacent communication to obtain the reactive power output information of the inverters. The local controller dynamically corrects the reactive power difference between inverters through the consensus algorithm until the deviation approaches zero. This enables the precise distribution of reactive power while reducing the amount of communication. The model is built on the Matlab/Simulink simulation platform, and the effectiveness of the proposed control strategy is verified by comparing with traditional control strategies. This work is supported by the Science and Technology Major Program of Shanxi Province (No. 20181102028), the Science and Technology Project of State Grid Shanxi Electric Power Company (No. 520530180011) and the National Natural Science Foundation of China (No. U1610121).

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张 莹,孟润泉,王子昂,等.一种基于一致性算法的改进下垂控制策略[J].电力系统保护与控制,2021,49(14):104-111.[ZHANG Ying, MENG Runquan, WANG Ziang, et al. An improved droop control strategy based on a consensus algorithm[J]. Power System Protection and Control,2021,V49(14):104-111]

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  • 收稿日期:2020-09-25
  • 最后修改日期:2020-11-14
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  • 在线发布日期: 2021-07-14
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