Dynamic Wide Area Voltage Control Strategy Based on Organized Multi-Agent System

Ashrafi, Alireza; Shahrtash, S. Mohammad

doi:10.1109/tpwrs.2014.2313607

Cited by 34 publications

(37 citation statements)

References 12 publications

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“…The critical point for jointly solving a problem is the model of interaction between the agents. Some works describing the interactions of the agents for solving power systems problems can be found in [34,35,36,37,38]. MAS has also been analysed for reliability assessment [39], transient stability enhancement [40], reactive power management with renewable energy [41], relaying [42], distribution grid congestion management with electric vehicles [43] and to provide demand response services from residential consumers [44].…”

Section: Combined Mas and Ann Methodsmentioning

confidence: 99%

A framework for classification of non-linear loads in smart grids using Artificial Neural Networks and Multi-Agent Systems

2015

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Section: Combined Mas and Ann Methodsmentioning

confidence: 99%

A framework for classification of non-linear loads in smart grids using Artificial Neural Networks and Multi-Agent Systems

2015

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“…Each agent of a MAS performs the assigned task(s) by means of negotiation, cooperation and coordination with other agents [2]. As well, in the field of Volt/Var control and for the elimination of voltage violations and loss reduction after disturbance occurrence, diverse schemes based on a MAS have been proposed [3][4][5][6][7][8][9][10], which have been compared in [9,10].…”

Section: Introductionmentioning

confidence: 99%

Wide‐area agent‐based scheme for Volt/Var control with a cooperative framework based on game theory

Nassaj

Shahrtash

2020

IET Generation, Transmission & Distribution

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“…The central controller, then, validates and analyses the data and, using certain pre-programmed lookup tables, comes up with adjustments to address the problem. Then, the necessary corrective actions are communicated to the corresponding agent for implementation [11][12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Local penetration‐free control approach against numerous changes in PV generation level in MAS‐based protection schemes

Bisheh

Fani

2019

IET Renewable Power Generation

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Despite the increasing attention paid to multi-agent systems (MASs), their applications in protection schemes of distribution networks would face serious challenges when the generation level of photovoltaic (PV) systems is significantly increased, i.e. the inherent variable generation of PV systems would not only increase the communication burden, but it can also cause protection miscoordination. To solve this problem, this study first classifies the protection tasks into two hierarchical categories as the 'first-control-level' and 'second-control-level' functions, where the first group is responsible for the urgent task of fault clearing, and the second group updates protection settings in the event of network/generation changes. Given clearing the fault should be accomplished as soon as possible, the first-control-level functions are designed to require the least possible data communication. Presenting a penetration-free approach, the study next describes the mechanism of managing the various generation-change events through a first-control-level function. Therefore, communication failure, as well as protection miscoordination risks, would be mitigated. Finally, the effectiveness of the proposed method is demonstrated using a practical PV-integrated distribution network. This study tackles an important challenge in the protection of distribution systems with a high level of distributed generation penetration where MAS-based schemes are applied.

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Dynamic Wide Area Voltage Control Strategy Based on Organized Multi-Agent System

Cited by 34 publications

References 12 publications

A framework for classification of non-linear loads in smart grids using Artificial Neural Networks and Multi-Agent Systems

A framework for classification of non-linear loads in smart grids using Artificial Neural Networks and Multi-Agent Systems

Wide‐area agent‐based scheme for Volt/Var control with a cooperative framework based on game theory

Local penetration‐free control approach against numerous changes in PV generation level in MAS‐based protection schemes

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