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An adaptive virtual inertia control strategy for distributed battery energy storage system in microgrids

机译：微电网中分布式电池储能系统的自适应虚拟惯性控制策略

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摘要

Recently with the large-scale access of renewable energy into power system through power electronics, distributed energy systems attract more attention. However, low inertia decreases the voltage or fre-quency stability and anti-disturbance capability of systems, causing power quality is vulnerable to the intermittency and uncertainty in photovoltaics or wind plants. Therefore, the virtual inertia control (VIC) is proposed to maintain system stability. This paper proposes a virtual adaptive inertia control (VAIC) strategy. The states of energy storage battery packs (ESBPs) are estimated online by the dual extended Kalman filter. Then the virtual inertia and droop parameters are designed through the fuzzy logic and virtual battery algorithms based on battery states and bus voltage fluctuations, aiming at distributing inertia and power in the dynamic and steady periods respectively. The stability is analyzed using the small signal model, and its feasibility is verified on the Matlab/Simulink platform. In microgrids with multiple ESBPs, the VAIC distributes power and inertia among ESBPs considering their different capa-bilities of power supplying and the system requirement for inertia. It can suppress the voltage fluctua-tions, improve the system stability, and achieve the decentralized and coordinated control during the whole running process of microgrid. (c) 2021 Elsevier Ltd. All rights reserved.
机译：最近通过电力电子设备进行了可再生能源的大规模进入电力系统，分布式能源系统吸引了更多的关注。然而，低惯性降低了系统的电压或频率稳定性和抗干扰能力，导致电力质量容易受到光伏或风厂中的间歇性和不确定性。因此，提出了虚拟惯性控制（VIC）以保持系统稳定性。本文提出了一种虚拟自适应惯性控制（VAIC）策略。储能电池组（ESBPS）的状态由双重扩展卡尔曼滤波器在线估算。然后，通过基于电池状态和总线电压波动的模糊逻辑和虚拟电池算法设计了虚拟惯性和下垂参数，旨在分别在动态和稳定时段分配惯性和功率。使用小信号模型进行分析稳定性，并在Matlab / Simulink平台上验证其可行性。在具有多个ESBP的微电网中，考虑到其不同的CAPA - 能量和惯性的系统要求，VAIC在ESBP中分配电力和惯性。它可以抑制电压波动，提高系统稳定性，并在微电网的整个运行过程中实现分散和协调控制。 （c）2021 elestvier有限公司保留所有权利。

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  • 来源
    《Energy》 |2021年第15期|121155.1-121155.17|共17页
  • 作者

    Xing Wei; Wang Hewu; Lu Languang; Han Xuebing; Sun Kai; Ouyang Minggao;

  • 作者单位

    Tsinghua Univ State Key Lab Automot Safety & Energy Beijing Peoples R China;

    Tsinghua Univ State Key Lab Automot Safety & Energy Beijing Peoples R China;

    Tsinghua Univ State Key Lab Automot Safety & Energy Beijing Peoples R China;

    Tsinghua Univ State Key Lab Automot Safety & Energy Beijing Peoples R China;

    Tsinghua Univ Dept Elect Engn State Key Lab Power Syst Beijing Peoples R China;

    Tsinghua Univ State Key Lab Automot Safety & Energy Beijing Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Virtual inertia; Fuzzy logic; Battery energy storage; Distributed control; Power allocation;

    机译：虚拟惯性;模糊逻辑;电池储能;分布式控制;功率分配;

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