Adaptive control and management of multiple nano‐grids in an islanded dc microgrid system

Adaptive control and management of multiple nano‐grids in an islanded dc microgrid system
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孤岛直流微电网系统中多个纳米电网的自适应控制和管理

DOI:
10.1049/gtd2.12556
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发表时间:
2023
期刊:
Transmission & Distribution
影响因子:
--
通讯作者:
Guerrero, Joseph M.
Guerrero, Joseph M.
中科院分区:
--
文献类型:
--
作者:
Abadi, Seyyed Ali;Khalili, Tohid;Habibi, Seyed Iman;Bidram, Ali;Guerrero, Joseph M.

文献摘要

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本文提出了一种自适应控制框架,用于灵活有效地管理和控制孤岛直流微电网系统中的集群直流纳米电网(NG)。假设每个NG包含光伏(PV)系统、电池储能系统(BESS)、本地负载和网关(GW)模块。每个NG都有一个由决策模块和低级控制器组成的分层控制系统。决策模块可确保各种理想的功能,包括NG的即插即用操作、光伏发电的最大利用以及避免电池的充电状态(SoC)违规。此外,提出了一种自适应模型预测控制(AMPC)策略来在存在非线性负载的情况下调节 NG 本地直流母线的电压。这种方法提高了 NG 电压控制系统的性能并减少了 BESS 的电流纹波,从而延长了电池的使用寿命。此外,还设计了一种基于智能切换共识的控制策略,可在NG之间提供灵活的功率共享,以平衡BESS的SoC,其中BESS完全模仿单个云能量存储系统(ESS)的行为。最后,通过在 MATLAB/Simulink 中对直流微电网进行仿真,验证了所提出控制系统的性能。
This paper presents an adaptive control framework for the flexible and effective management and control of clustered DC nano‐grids (NGs) in an islanded DC microgrid system. It is assumed that each NG contains a photovoltaic (PV) system, a battery energy storage system (BESS), local loads, and a gateway (GW) module. Each NG has a hierarchical control system consisting of a decision‐making module and low‐level controllers. The decision‐making module ensures various desirable features including plug‐and‐play operation of NGs, maximum utilization of PV power generations, and avoiding state of charge (SoC) violation of batteries. Moreover, an adaptive model predictive control (AMPC) strategy is proposed to regulate the voltage of the NG local DC buses in the presence of non‐linear loads. This approach improves the performance of the NG voltage control system and reduces the current ripples of BESSs, thereby enhancing the lifetime of the batteries. In addition, a smart switching consensus‐based control strategy is designed that provides flexible power sharing among the NGs to balance the SoC of BESSs in which the BESSs altogether imitate the behaviour of a single cloud energy storage system (ESS). Finally, the performance of the proposed control system is verified by simulating the DC microgrid in MATLAB/Simulink.