A communication‐less distributed frequency restoration and economical active power control scheme for islanded AC microgrids

Li, Zhiyong; Chen, Gang

doi:10.1002/oca.2821

Cited by 4 publications

(4 citation statements)

References 51 publications

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“…={ ⧵ i} denotes the set of normal agents. Agent i ′ s normal neighbors update according to (21), and the other normal agents update according to (2). By adding y z (k) of all the normal agents, we have…”

Section: Attack Mitigation Phasementioning

confidence: 99%

“…In this case, ={ ⧵ i} is the set of normal agents. At time step k r , agent i ′ s neighbors update based on (22), and the other normal agents in the system update based on (2). Sum all normal agents' y z (k r ) at time step k r :…”

Section: Attack Mitigation Phasementioning

confidence: 99%

“…In the past several years, distributed optimization, with high flexibility, strong robustness, and better privacy, has received much attention and found increasing applications in networked control systems and cyber-physical systems (CPSs), 1 such as estimation with sensor networks, energy management in power systems, [2][3][4] autonomous vehicle systems and machine learning, 5 and so on. Due to the broad applications in many areas, the design of distributed algorithms and the convergence analysis have been widely investigated.…”

Section: Introductionmentioning

confidence: 99%

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A resilient distributed optimization strategy against false data injection attacks

Liu

Yang

2022

Optim Control Appl Methods

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In this article, the distributed push‐pull gradient optimization algorithm over directed communication network under false data injection (FDI) attacks is investigated. First, the convergence of the algorithm under FDI attacks is analyzed, and the conditions are presented to ensure convergence. Second, on the basis, a distributed reputation‐based neighborhood‐observe strategy is proposed, which can detect the malicious agents residing in the network and isolate them. Moreover, different from the existing resilient strategies, the influence of the false data on the algorithm is eliminated completely to ensure that the remaining normal agents can converge to the optimal solution. Finally, some examples are presented to validate the effectiveness of the proposed strategy.

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Section: Attack Mitigation Phasementioning

confidence: 99%

Section: Attack Mitigation Phasementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A resilient distributed optimization strategy against false data injection attacks

Liu

Yang

2022

Optim Control Appl Methods

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“…Multi‐agent systems (MAS) are widely used in the various fields such as unmanned aerial vehicle (UAV), 1 autonomous vehicles, 2 traffic control, 3 smart cities, 4 microgrids, 5 power systems, 6 game theory, 7 video games, 8 and military applications 9 . Multi‐agent systems are used to model some real issues with a graph that has various nodes and edges.…”

Section: Introductionmentioning

confidence: 99%

Predictive consensus tracking of multi‐agent systems in the presence of Byzantine agents and connection loss of reference signals

Rezaei,

Bagheri,

Hashemzadeh

2023

Optim Control Appl Methods

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This article proposes the consensus tracking of multi‐agent systems, in the presence of Byzantine agents and loss of connection between agents and the reference signal. The main purpose of this work is to steer a multi‐agent system to the desired reference, assuming that there are some agents which send incorrect information to the other agents, and the connection between the agents and the reference signal may lose. Using graph properties alongside the weighted‐mean‐subsequence‐reduced (W‐MSR) algorithm led to a novel control method for multi‐agent systems. With the aid of model predictive control (MPC), the agents reach the desired consensus with connection loss of reference signals, misbehaving agents in the system, and constraints on the input signals. Combining MPC with the W‐MSR algorithm results in an algorithm called reference‐based‐W‐MSR (RBW‐MSR), which has made the consensus point fixed according to a predetermined reference. A theorem is illustrated to guarantee the consensus with the interruption of reference signals and agents. The effectiveness of the proposed algorithm is illustrated via simulation results.

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Distributed Autonomous Economic Control Strategy for the AC/DC Interconnected Microgrid Considering the Regulation Boundary of the Consensus Variable

Tan,

Wang,

Wang

et al. 2024

Circuit Theory & Apps

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The autonomous economic control for the islanded AC/DC interconnected microgrid has various modes due to the restriction of the feasible regions of inner and inter‐microgrid resources. To properly handle the cooperative relationship between resources with different regulation characteristics and realize the frequency, voltage stability, and economic operation of the AC/DC interconnected microgrid, a distributed control strategy considering the regulation boundary of the consensus variable is proposed. Firstly, the influence of the variable feasible regions on the consensus control objective is analyzed, and the fundamental principle of the consensus control algorithm considering the variable regulation boundary is expounded. Secondly, the trilevel control strategy consisting of the local equipment control and inner and inter‐microgrid cooperative control is constructed. The local equipment control adopts droop control, and the cooperative control adopts consensus control to realize the elimination of the frequency and voltage deviation and the economic dispatch of active power within and between microgrids. Finally, the AC/DC interconnected microgrid model is built based on PSCAD/EMTDC, and the simulation results verify the effectiveness of the proposed control strategy.

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A communication‐less distributed frequency restoration and economical active power control scheme for islanded AC microgrids

Cited by 4 publications

References 51 publications

A resilient distributed optimization strategy against false data injection attacks

A resilient distributed optimization strategy against false data injection attacks

Predictive consensus tracking of multi‐agent systems in the presence of Byzantine agents and connection loss of reference signals

Distributed Autonomous Economic Control Strategy for the AC/DC Interconnected Microgrid Considering the Regulation Boundary of the Consensus Variable

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