Complex Software System for Data Management and Analysis of Power Distribution Grids

Manescu, Leonardo Geo; Rusinaru, Denisa; Popirlan, Claudiu Ionut; Stoian, Gabriel; Ciontu, Marian; Buzatu, Gabriel Cosmin; Alba, Miron

doi:10.1109/mcsi.2017.18

Cited by 4 publications

(7 citation statements)

References 6 publications

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“…The Expect_time of a task is related to the type of a task and user requirements, and it specifies the deadline to finish the task. For complex tasks that need to be decomposed into subtasks, the expected time of the subtasks are calculated by (5), where Waiting_time indicates the waiting time of the task. The holon records the time of accepting the complex task, written as Accept_time, and the task is decomposed and assigned at Current_time.…”

Section: ) Representation Of the Task For A Holonmentioning

confidence: 99%

“…The open and heterogeneous network environment makes the scale of software larger and larger, and the distribution of software more and more extensive, which leads to an increase in the complexity of software systems [1][2]. Nextgeneration software systems have exhibited some typical characteristics, for instance, a large number of functional components, distributed control and storage, nonlinear processes, dynamic and open operating environments, and unpredictable unit interactions [3][4][5][6], which highlight the needs for new approaches of software system development [7][8][9][10][11]. A multi-agent system is a computerized system composed of multiple interacting intelligent agents within an environment.…”

Section: Introductionmentioning

confidence: 99%

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An Organizational Structure and Self-Adaptive Mechanism for Holonic Multi-Agent Systems

2020

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A holonic multi-agent system combines the concept of a holon with a multi-agent system; this combination has been proven to be an effective way to build a complex system. Great progress has been made in this area, but previous studies are fragmented and lack of a task-based perspective to model different systems in the real world. Therefore, this paper proposes a formalistic model for HMAS from a task-based perspective. Not only the static organizational structure is designed, but also the dynamic running mechanism, including the self-adaptive mechanism and the task assignment mechanism based on the proposed holonic structure, are also discussed. Finally, a case study is provided to verify the self-adaptive mechanism. The experimental results show that our proposed DHMAS has the ability to adapt to the changing environment, and performs better in terms of the success rate and the response time when the system is heavily loaded.

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Section: ) Representation Of the Task For A Holonmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Organizational Structure and Self-Adaptive Mechanism for Holonic Multi-Agent Systems

2020

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“…From the point of view of implementation, technologies have followed the natural steps of any software development. Matlab software [4] was first use to perform experiments, to take measurements and to process collected data. This software allowed us to use its tools for data structure validation in our energy system.…”

Section: Web-based Solution Implementation Technologiesmentioning

confidence: 99%

“…The data management system has a friendly interface and provides easy access to collected data for existing power quality analysis applications (such as PQView, see [9], [10]). The architecture of the energy quality management system, presented in detail in our previous papers (see [4], [5]) is illustrated in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

Application Development to Convert Heterogeneous Information into PQDIF (Power Quality Data Interchange Format)

Popirlan¹,

Stoian²,

Manescu³

et al. 2018

IJCSIT

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In this paper is presented a web-based application development, used to convert heterogeneous information provided by MEG40 (power acquisition equipment) into standard formats as PQDIF (Power Quality Data Interchange Format-IEEE® Std 1159.3-2003 standard). The web-based solution proposed is able to convert huge volume of heterogeneous information into standard formats in order to be easily processed.

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“…The architecture of the energy quality management system is shown in Figure 1. This architecture has been described in detail in our previous papers (see [4], [5]).…”

Section: Introductionmentioning

confidence: 99%

A Web-Based Solution for Power Quality Data Management

Popirlan¹,

Stoian²,

Manescu³

et al. 2018

Computer Science &Amp; Information Technology

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In this paper we present a web-based solution designed to convert (integrating an appropriate plugin) heterogeneous information provided by any type of power acquisition equipment into standard formats as PQDIF (Power Quality Data Interchange Format-IEEE® Std 1159.3-2003 standard). The power grid operators are interested for this kind of applications capable to convert huge volume of heterogeneous information into standard formats in order to be easily processed.

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Complex Software System for Data Management and Analysis of Power Distribution Grids

Cited by 4 publications

References 6 publications

An Organizational Structure and Self-Adaptive Mechanism for Holonic Multi-Agent Systems

An Organizational Structure and Self-Adaptive Mechanism for Holonic Multi-Agent Systems

Application Development to Convert Heterogeneous Information into PQDIF (Power Quality Data Interchange Format)

A Web-Based Solution for Power Quality Data Management

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