Power-quality index negotiation criterion for power system soft reconfiguration

Deshmukh, A.; Ponci, Ferdinanda; Cristaldi, L.; Faifer, Marco

doi:10.1109/imtc.2007.379166

Cited by 5 publications

(3 citation statements)

References 3 publications

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“…Starting point of this work is the MAS described in [9] and [10]. In this architecture, each agent managing a load computes its priority level in response to a request message.…”

Section: The Mobile Agent Approachmentioning

confidence: 99%

“…The calculation of the power quality indexes requires the acquisition of voltage and current at the load terminals. In the agent system described in [10] and [11], this data acquisition and elaboration was performed by the Monitoring Agent upon request of the LAs. In particular, the Monitoring Agent took care of executing a dedicated Virtual Instrument in LabVIEW.…”

Section: The Mobile Agent Approachmentioning

confidence: 99%

“…This is the basis for the determination of dynamic load priority levels, used for the soft reconfiguration of the system [12], [13]. When power demand exceeds power availability, the one Load Agent (LAs), that realizes its load has minimum priority level, and/or worse power quality impact, makes the decision to shut it down or to use the features of its PEBB converter, where available, to correct, in part or completely, the power quality issues.…”

Section: Introduction and Objectivesmentioning

confidence: 99%

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A Mobile Agent for measurements in distributed power electronic systems

Ponci

Deshmukh

2008

2008 IEEE Instrumentation and Measurement Technology Conference

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this work introduces the use of a mobile agent for the purpose of power quality assessment in systems with distributed control. The mobile agent introduced here leverages on the agentbased distributed control of the electrical loads of a power electronic distribution system. While the stationary agents control local loads autonomously and are capable of negotiations for reconfiguration purpose, they have to rely on external resources for certain types of more sophisticated evaluations of operating condition, such as power quality pollution. The authors have already considered the option of a stationary monitoring agent capable ofproviding these information and the option ofembedding additional algorithms in the load agents. In this work a new approach based on a mobile agent is investigated. The advantage of such solution consists primarily in its flexibility, in fact the mobile agent can be easily re-deployed to serve various purposes exploiting the distributed computational capability. routines when needed, without integrating these routines in the stationary agents. A very targeted application to power quality issues can be found in [14].The framework of this work is the control of power electronic systems, that is, power systems where power flow is fully controlled, in particular through converters feeding DC zones, [6], from the main three-phase AC distribution system. These systems are currently under consideration for the future all-electric ship of the US Navy. Furthermore, their successful implementation would greatly benefit the operation of terrestrial systems, such as microgrids and in the longer term, terrestrial power distribution systems in general.

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“…Starting point of this work is the MAS described in [9] and [10]. In this architecture, each agent managing a load computes its priority level in response to a request message.…”

Section: The Mobile Agent Approachmentioning

confidence: 99%

Section: The Mobile Agent Approachmentioning

confidence: 99%

Section: Introduction and Objectivesmentioning

confidence: 99%

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A Mobile Agent for measurements in distributed power electronic systems

Ponci

Deshmukh

2008

2008 IEEE Instrumentation and Measurement Technology Conference

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Review on optimization methodologies in transmission network reconfiguration of power systems for grid resilience

Aziz

Liu

Waseem

et al. 2020

Int Trans Electr Energ Syst

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Background When a power system blackout occurs, it affects the economy of the country and every aspect of human life. Cascading failures can easily occur and cause a major blackout in the power grid due to the breakdown or failure of important nodes or links. Recently, transmission network reconfiguration (TNR) becomes a hot topic and has made many concerns after major blackouts of power systems. Aims TNR is the second‐stage action plan to restore power systems and plays a major role in the process of power system restoration. On the other hand, grid resilience involves a quick dynamic reconfiguration of power systems to minimize the propagation of attack influences on the grid. The motivations to include the works in this survey are based on the quality of the research performed in the transmission network reconfiguration problem for grid resilience. In this article, the state‐of‐the‐art review of recent progress in the network reconfiguration problem of the transmission system for grid resilience is discussed with practical challenges, technical issues, and power industry practices. Materials & Methods In this paper, complex network theory‐based indices with advantages, disadvantages, and their applications have been discussed to assess the important nodes and lines for network reconfiguration problem during sudden disturbances in power systems. Furthermore, optimization models have been presented with objective functions as well as their constraints. Taken together, optimization methodologies have been discussed to solve network reconfiguration problem with merits and demerits. Results This survey paper presents current trends in research and future research directions concerning transmission network reconfiguration for academic researchers and practicing engineers. Furthermore, the most current studies in improving transmission network reconfiguration problem are reviewed by highlighting their advantages and limitations. Discussion Based on a thorough comparison of literature some future perspectives are also discussed for transmission network reconfiguration problem for grid resilience. Conclusion This review paper provides a comprehensive review of current practices applied to transmission network reconfiguration. The core focus of this paper will remain on complex network theory‐based indices, optimization models, optimization methodologies, challenges, and technical issues, and discusses future direction for transmission network reconfiguration problem for grid resilience. Furthermore, the most current studies in improving transmission network reconfiguration problem are reviewed by highlighting their advantages and limitations.

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Power Flow Control and Network Stability in an All-Electric Ship

et al. 2015

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The concept of an all-electric ship, while offering unprecedented advantages from the point of view of efficiency and flexibility of operation, has introduced new challenges in terms of stability and power flow control. The advent of a full power electronics power system has raised new questions from the point of view of system dynamics, particularly when dealing with the new medium-voltage direct current distribution. The overall goal of guaranteeing a secure operation of the power system has brought researchers to consider two main approaches: reducing the dynamics of the large load to operate in a range of dynamics compatible with traditional generation systems, or making the generator set smarter through its power electronics interface. This paper compares these approaches to stable operation, focusing on the latter considered more in line with the progress of technology and in general more appealing

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Power-quality index negotiation criterion for power system soft reconfiguration

Cited by 5 publications

References 3 publications

A Mobile Agent for measurements in distributed power electronic systems

A Mobile Agent for measurements in distributed power electronic systems

Review on optimization methodologies in transmission network reconfiguration of power systems for grid resilience

Power Flow Control and Network Stability in an All-Electric Ship

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