Distributed Secondary Control for Voltage Regulation and Optimal Power Sharing in DC Microgrids

Dou, Yangming; Chi, Ming; Liu, Zhi‐Wei; Wen, Guanghui; Sun, Qihai

doi:10.1109/tcst.2022.3156391

Cited by 45 publications

(13 citation statements)

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“…The objective of this investigation is to provide an overview of the current state of auxiliary control systems and to identify potential areas for future advancements in this field. Several recent studies have examined different aspects of MGs, with some focusing on MGs administration [32][33][34], while others have delved into the architecture of auxiliary control [35]. Although there is substantial literature on MGs data transmission architecture, this study concentrates on the auxiliary stage of control and the frameworks that support it.…”

Section: Recent Published Work On Mgsmentioning

confidence: 99%

The nexus of energy in microgrids: A review on communication barriers in distributed networks auxiliary controls

Ahmed,

Basit,

e Mustafa

et al. 2023

IET Generation Trans & Dist

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Microgrids are a new concept resulting from decentralized power sources, which have changed energy utility grid topography. As this promising field is penetrated, control must be streamlined immediately. This paper analyses key control mechanisms in energy utility networks, including centralized, decentralized, and distributed setups. The focus is on the auxiliary category as the various benefits and drawbacks of each approach is investigated. Information interchange architectures that enable multiple control techniques in the auxiliary control domain are examined using distributed energy networks. The research emphasizes the necessity of auxiliary control in ensuring reliable and effective utility infrastructure operation but notes the lack of a comprehensive scholarly reference. Additionally, the study explores key concerns in utility grids' auxiliary control mechanisms, emphasizing information‐sharing system limits. The goal is to demonstrate the importance of auxiliary control and evaluate its challenges, such as latency, which require new solutions for a seamless transition to a sustainable energy future through rigorous academic assessment. At the auxiliary level, complex, decentralized regulatory mechanisms are recommended to handle transmission channel bandwidth and operational overhead in energy utility networks. These innovative measures have the potential to transform the fundamental structure of our energy landscape, heralding in unprecedented efficiency and sustainability.

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Section: Recent Published Work On Mgsmentioning

confidence: 99%

The nexus of energy in microgrids: A review on communication barriers in distributed networks auxiliary controls

Ahmed,

Basit,

e Mustafa

et al. 2023

IET Generation Trans & Dist

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“…The cooperative control of multi‐agent systems (MASs) has attracted attracted broad attention from scholars in the last few decades, and has extensive applications, such as formation control, 1 distributed sensor networks, 2,3 traffic network, 4 and other fields 5,6 . The consensus, which requires all agents in a system could achieve together under a control protocol, is a fundamental problem in the control of MASs, and has been deeply studied in various aspects.…”

Section: Introductionmentioning

confidence: 99%

Group consensus of multi‐agent systems with reference states via pinning control

Wu,

Sun,

Han

et al. 2023

Intl J Robust & Nonlinear

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This article investigates the group consensus via pinning control for continuous‐time first‐order and second‐order multi‐agent systems (MASs) with reference states. For the group consensus of first‐order MASs, the dependence between the agent's state and the control input is considered. For second‐order MASs, group consensus control without the velocity information of agents is considered. Instead, the virtual velocity estimation controller is designed. Meanwhile, for the designed control protocols, not only under fixed topology, but also under switching topology are considered. It is demonstrated that group consensus could be obtained under the proposed control protocols by using graph theory and stability theory. Finally, a series of numerical examples are provided to verify the control performance of the propounded control protocols.

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“…At the same time, the accuracy of output power distribution of each DC source will be affected to a certain extent by the influence of line impedance. 8,14 In view of the above problems of traditional DC MG, domestic and foreign scholars have proposed some improved control methods based on droop control. The control method proposed in References 15 and 13 can improve the power quality of the DDN system and realize power sharing among distributed power sources.…”

Section: Introductionmentioning

confidence: 99%

“…The traditional DC microgrid (MG) usually adopts the droop control method, when the power is adjusted, the DC bus voltage will deviate. At the same time, the accuracy of output power distribution of each DC source will be affected to a certain extent by the influence of line impedance 8,14 . In view of the above problems of traditional DC MG, domestic and foreign scholars have proposed some improved control methods based on droop control.…”

Section: Introductionmentioning

confidence: 99%

“…The control method proposed in References 15 and 13 can improve the power quality of the DDN system and realize power sharing among distributed power sources. In recent years, previous studies have been conducted on the distributed control of PV power generation units in DC MG 14,16,17 . Meanwhile, distributed control methods involving consensus theory have been applied to load control, 5 economic scheduling problem, 18,19 voltage and frequency adjustment and other fields in power system.…”

Section: Introductionmentioning

confidence: 99%

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Distributed cooperative control for power sharing of DC distribution network with event‐triggered communication mechanism

Jing,

Huang,

Sun

et al. 2023

Intl J Robust & Nonlinear

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This paper develops an effective distributed cooperative control approach with an event‐triggered communication mechanism (ETCM) for the active DC distribution network (DDN) system. Its control objective is to address the issues of voltage synchronization and power sharing among distributed renewable energy (DRE) while minimizing the utilization of communication resources. Firstly, a distribution network system model based on DC‐DC converters (DDCs) is established, and each DRE is regarded as a heterogeneous multi‐agent system (HMAS). Then, the distributed cooperative control problem of DREs is transformed into a cooperative output regulation (COR) problem with HMASs, which serves as an important foundation for controller strategy design. Secondly, considering different load demands in DDN system and the voltage of DC bus may deviate from its nominal value. Meanwhile, with the purpose of the proportional power sharing among DREs, this work proposes a distributed cooperative control approach under undirected communication topology, and designs a distributed observer based on dynamic ETCM while excluding Zeno behavior. In addition, the proposed control method can converge with a relatively fast speed, which improves the dynamic performance of the DDN system. Compared with the continuous time feedback control in DDN system, the proposed approach only needs the information of DRE itself and its neighboring DREs to accomplish the control objective, which further decreases the utilization of communication resources and reduces the update frequency of the controllers and switching loss of the DDCs. Finally, different simulation and experimental results are carried out to show the effectiveness of the proposed approach.

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Distributed Secondary Control for Voltage Regulation and Optimal Power Sharing in DC Microgrids

Cited by 45 publications

References 0 publications

The nexus of energy in microgrids: A review on communication barriers in distributed networks auxiliary controls

The nexus of energy in microgrids: A review on communication barriers in distributed networks auxiliary controls

Group consensus of multi‐agent systems with reference states via pinning control

Distributed cooperative control for power sharing of DC distribution network with event‐triggered communication mechanism

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