Distributed Load Sharing of an Inverter-Based Microgrid With Reduced Communication

Meng, Wenchao; Wang, Xiaoyu; Liu, Shichao

doi:10.1109/tsg.2016.2587685

Cited by 107 publications

(48 citation statements)

References 35 publications

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“…Another interesting challenge existing in cluster synchronization problems is to discover other graph topologies that meet the algebraic conditions. If the interactions among agents are based on communication systems, the issue of reducing communication demands by event‐triggered control techniques would also be a promising topic for future studies.…”

Section: Discussionmentioning

confidence: 99%

Cluster synchronization of coupled systems with nonidentical linear dynamics

Liu

Wong

Cheng

2017

Intl J Robust & Nonlinear

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This paper considers the cluster synchronization problem of generic linear dynamical systems whose system models are distinct in different clusters. These nonidentical linear models render control design and coupling conditions highly correlated if static couplings are used for all individual systems. In this paper, a dynamic coupling structure, which incorporates a global weighting factor and a vanishing auxiliary control variable, is proposed for each agent and is shown to be a feasible solution. Lower bounds on the global and local weighting factors are derived under the condition that every interaction subgraph associated with each cluster admits a directed spanning tree. The spanning tree requirement is further shown to be a necessary condition when the clusters connect acyclically with each other. Simulations for two applications, cluster heading alignment of nonidentical ships and cluster phase synchronization of nonidentical harmonic oscillators, illustrate essential parts of the derived theoretical results. 1463 tree condition is used to achieve intra-cluster synchronization for first-order integrators (discrete time [18] or continuous time [19]), while inter-cluster separations are realized by using nonidentical feed-forward input terms. For more complicated system models, for example, nonlinear systems ([20-22]) and generic linear systems ([23, 24]), both control designs and inter-agent coupling conditions are responsible for the occurrence of cluster synchronization. For coupled nonlinear systems, for example, chaotic oscillators, algebraic and graph topological clustering conditions are derived for either identical models ([20]) or nonidentical models ([21, 22]) under the key assumption that the input matrix of all systems is identical and it can stabilize the system dynamics of all individual agents via linear state feedback (i.e., the so-called QUAD condition). For identical generic linear systems that are partial-state coupled [23,24], a stabilizing control gain matrix solved from a Ricatti inequality is utilized by all agents, and agents are pinned with some additional agents so that the interaction subgraph of each cluster contains a directed spanning tree.The system models introduced previously can describe a rich class of applications for multi-agent systems. A common characteristic is that the uncoupled system dynamics of all the agents can be stabilized by linear state feedback attenuated by a unique matrix (i.e., static state feedback) [23,24]. This simplification allows the derivation of coupling conditions to be independent of the control design of any agent and thus offers scalability to a static coupling strategy. This kind of benefit still exists for nonidentical nonlinear systems ([21, 22]), which are full-state coupled, because all the system dynamics can be constrained by a common Lipchitz constant (Lipchitz can imply the QUAD condition [25]). However, for the class of partial-state-coupled nonidentical linear systems, the stabilizing matrices for distinct linear system models are u...

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Section: Discussionmentioning

confidence: 99%

Cluster synchronization of coupled systems with nonidentical linear dynamics

Liu

Wong

Cheng

2017

Intl J Robust & Nonlinear

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“…In a microgrid, a fundamental concern is how to efficiently dispatch power supply of DGs to distributed loads, which refers to power sharing issues including economic dispatch [118]- [120] and proportional power sharing [12], [13]. Considering limited bandwidth of communication network, distributed event-triggered communication schemes are introduced in [14], [121], and [122] to achieve power sharing in microgrids. In what follows, we briefly present a recent case study on distributed event-triggered reactive power sharing in microgrids.…”

Section: A Distributed Event-triggered Power Sharing In Microgridsmentioning

confidence: 99%

An Overview of Recent Advances in Event-Triggered Consensus of Multiagent Systems

Ding

Han

et al. 2018

IEEE Trans. Cybern.

860

244

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Event-triggered consensus of multiagent systems (MASs) has attracted tremendous attention from both theoretical and practical perspectives due to the fact that it enables all agents eventually to reach an agreement upon a common quantity of interest while significantly alleviating utilization of communication and computation resources. This paper aims to provide an overview of recent advances in event-triggered consensus of MASs. First, a basic framework of multiagent event-triggered operational mechanisms is established. Second, representative results and methodologies reported in the literature are reviewed and some in-depth analysis is made on several event-triggered schemes, including event-based sampling schemes, model-based event-triggered schemes, sampled-data-based event-triggered schemes, and self-triggered sampling schemes. Third, two examples are outlined to show applicability of event-triggered consensus in power sharing of microgrids and formation control of multirobot systems, respectively. Finally, some challenging issues on event-triggered consensus are proposed for future research.

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“…This is due to the extreme complexity of the DC microgrid under the control and optimization at multiple levels, multiple time scales, and the multi-agent-based communication framework as proposed in this paper, making a hardware experiment expensive or impossible to build. For such a complex microgrid system, simulation-based evaluation and research is commonly adopted [32,[34][35][36]. To further make the performance evaluation in close to actual experiment conditions, the following strategies were utilized: (1) high frequency transient simulation instead of steady-state simulation strategy; (2) detailed DC converter switching models instead of average models; and (3) integration of the control system and agent-based communications in the detailed transient simulation environment.…”

Section: Simulation Studiesmentioning

confidence: 99%

Distributed Economic Power Dispatch and Bus Voltage Control for Droop-Controlled DC Microgrids

Zeng

Gao

et al. 2019

Energies

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This paper proposes a distributed economic power dispatch (EPD) and bus voltage control solution for droop-controlled DC microgrids. For the proposed solution, a local power controller and a local voltage controller are added for each distributed generator (DG) to overcome the limitations of the conventional droop control. The power controller generates the first voltage correction term by comparing the local output power of DG with the reference instruction generated by the proposed distributed EPD algorithm, and thus, it can reduce the operation cost of the microgrid by optimally sharing the load demand among all the participating DGs. The voltage controller generates the second voltage correction term by comparing the nominal DC bus voltage value with the average bus voltage generated by the proposed distributed average bus voltage observation (ABVO) algorithm, and thus, it can realize the global bus voltage regulation of the DC microgrid. In contrast with conventional solutions, the control solution can distribute the computational and communication burdens among all the DGs working in parallel, which is more flexible, scalable, and robust against single-point failure. The effectiveness of the proposed control solution is demonstrated through simulation studies.

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Distributed Load Sharing of an Inverter-Based Microgrid With Reduced Communication

Cited by 107 publications

References 35 publications

Cluster synchronization of coupled systems with nonidentical linear dynamics

Cluster synchronization of coupled systems with nonidentical linear dynamics

An Overview of Recent Advances in Event-Triggered Consensus of Multiagent Systems

Distributed Economic Power Dispatch and Bus Voltage Control for Droop-Controlled DC Microgrids

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