A Multi-Agent Solution to Distribution Systems Restoration

Solanki, Jignesh; Khushalani, S.; Schulz, Noel N.

doi:10.1109/tpwrs.2007.901280

Cited by 279 publications

(134 citation statements)

References 12 publications

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“…One of the main reasons for that comes from the abundance of technological applications multiagent systems (MAS): vehicle formations [10], [37], flocking and swarming [19], [26], scheduling of automated highway systems, sensor networks [13], [29], [38], microgrids [34], and power systems [27], just to name a few.…”

Section: Introductionmentioning

confidence: 99%

Stationary Consensus of Asynchronous Discrete-Time Second-Order Multi-Agent Systems Under Switching Topology

Qin

Hirche

2012

IEEE Trans. Ind. Inf.

104

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Abstract-This paper is concerned with the asynchronous consensus problem of discrete-time second-order multi-agent system under dynamically changing communication topology, in which the asynchrony means that each agent detects the neighbors' state information to update its state information by its own clock. It is not assumed that the agents' clocks are synchronized. Nor is it assumed that the time sequence over which each agent update its state information is evenly spaced. By using tools from graph theory and nonnegative matrix theory, particularly the product properties of row-stochastic matrices from an infinite set, we finally show that essentially the same result as that for the synchronous discrete-time system holds in the face of asynchronous setting. This generalizes the existing result to a very general case.

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Section: Introductionmentioning

confidence: 99%

Stationary Consensus of Asynchronous Discrete-Time Second-Order Multi-Agent Systems Under Switching Topology

Qin

Hirche

2012

IEEE Trans. Ind. Inf.

104

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“…Nowadays, MAS is attracting widespread attention in the microgrid field, since MAS is suitable for different applications [20], can reduce a complex control issue to several simple issues [25], and enhance the robustness of control systems [26]. In this paper, a HAM is proposed to implement HCF mentioned above.…”

Section: Properties Of Hybrid Multi-agent Control Modelmentioning

confidence: 99%

Hybrid Multi-Agent Control in Microgrids: Framework, Models and Implementations Based on IEC 61850

Dou

Quan

et al. 2014

Energies

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Operation control is a vital and complex issue for microgrids. The objective of this paper is to explore the practical means of applying decentralized control by using a multi agent system in actual microgrids and devices. This paper presents a hierarchical control framework (HCF) consisting of local reaction control (LRC) level, local decision control (LDC) level, horizontal cooperation control (HCC) level and vertical cooperation control (VCC) level to meet different control requirements of a microgrid. Then, a hybrid multi-agent control model (HAM) is proposed to implement HCF, and the properties, functionalities and operating rules of HAM are described. Furthermore, the paper elaborates on the implementation of HAM based on the IEC 61850 Standard, and proposes some new implementation methods, such as extended information models of IEC 61850 with agent communication language and bidirectional interaction mechanism of generic object oriented substation event (GOOSE) communication. A hardware design and software system are proposed and the results of simulation and laboratory tests verify the effectiveness of the proposed strategies, models and implementations. OPEN ACCESSEnergies 2015, 8 32

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“…Multi-agent system (MAS)-based strategies [22] have been applied to a variety of power system applications, including load restoration [23], frequency regulation [24] and reactive power control [25]. However, the MAS-based solutions in those researches are rule-based designing, and lack of a rigorous stability analysis.…”

Section: Introductionmentioning

confidence: 99%

Distributed Agent Consensus-Based Optimal Resource Management for Microgrids

Zhao

Ding

2018

IEEE Trans. Sustain. Energy

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Abstract-This paper considers the optimal resource management problem for microgrids. Microgrids provide a promising approach to fulfil challenges of the integration of distributed renewable generations and energy storage systems. However, the resource management in a microgrid encounters the new difficulty, i.e. supply-demand imbalance, caused by the intermittence of renewable sources. Therefore, an optimal solution is proposed to the resource management by enhancing the communication and coordination under a multi-agent system framework. An agent is a participant, for instance, the distributed renewable generator/energy storage system of the microgrid. With this multi-agent system, the distributed optimal solution only utilizes the local information, and interacts with the neighbouring agents. Thus, single-node congestion is avoided since the requirement for a central control centre is eliminated, and it is robust against single-link/node failures. The analysis will show that the proposed solution can solve the resource management problem in an initialization-free manner. Additionally, the proposed strategy can maintain the supply-demand balance under a time-varying supply-demand deviation. The simulation studies are carried out for IEEE 14-bus and 162-bus power systems to validate the effectiveness of the proposed distributed solution.

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A Multi-Agent Solution to Distribution Systems Restoration

Cited by 279 publications

References 12 publications

Stationary Consensus of Asynchronous Discrete-Time Second-Order Multi-Agent Systems Under Switching Topology

Stationary Consensus of Asynchronous Discrete-Time Second-Order Multi-Agent Systems Under Switching Topology

Hybrid Multi-Agent Control in Microgrids: Framework, Models and Implementations Based on IEC 61850

Distributed Agent Consensus-Based Optimal Resource Management for Microgrids

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