Real-time battery state of charge estimation in smart grid application by Multi Agent System

2017 ◽  
Vol 42 (30) ◽  
pp. 19487-19495 ◽  
Author(s):  
Soukaina Boudoudouh ◽  
Mohamed Maâroufi
Keyword(s):  
Smart Grid ◽  
Real Time ◽  
State Of Charge ◽  
Multi Agent System ◽  
Agent System ◽  
Battery State Of Charge ◽  
Multi Agent ◽  
Grid Application ◽  
State Of Charge Estimation

A new real-time multi-agent system for under frequency load shedding in a smart grid context

2019 ◽  
Vol 174 ◽  
pp. 105851 ◽  
Author(s):  
Athila Quaresma Santos ◽  
Renato Machado Monaro ◽  
Denis Vinicius Coury ◽  
Mario Oleskovicz
Keyword(s):  
Smart Grid ◽  
Real Time ◽  
Load Shedding ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

Real-Time Cascading Failures Prevention for Multiple Contingencies in Smart Grids Through a Multi-Agent System

2018 ◽  
Vol 9 (1) ◽  
pp. 373-385 ◽  
Author(s):  
Adeniyi A. Babalola ◽  
Rabie Belkacemi ◽  
Sina Zarrabian
Keyword(s):  
Real Time ◽  
Smart Grids ◽  
Cascading Failures ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

scholarly journals Design and Implementation of a Virtual Sensor Network for Smart Waste Water Monitoring

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 358 ◽  
Author(s):  
Edmundo Guerra ◽  
Yolanda Bolea ◽  
Javier Gamiz ◽  
Antoni Grau
Keyword(s):  
Waste Water ◽  
Real Time ◽  
Sensor Network ◽  
Plant Management ◽  
Multi Agent System ◽  
Agent System ◽  
Water Plant ◽  
Aerial Vehicle ◽  
Multi Agent ◽  
And Performance

Monitoring and analysis of open air basins is a critical task in waste water plant management. These tasks generally require sampling waters at several hard to access points, be it real time with multiparametric sensor probes, or retrieving water samples. Full automation of these processes would require deploying hundreds (if not thousands) of fixed sensors, unless the sensors can be translated. This work proposes the utilization of robotized unmanned aerial vehicle (UAV) platforms to work as a virtual high density sensor network, which could analyze in real time or capture samples depending on the robotic UAV equipment. To check the validity of the concept, an instance of the robotized UAV platform has been fully designed and implemented. A multi-agent system approach has been used (implemented over a Robot Operating System, ROS, middleware layer) to define a software architecture able to deal with the different problems, optimizing modularity of the software; in terms of hardware, the UAV platform has been designed and built, as a sample capturing probe. A description on the main features of the multi-agent system proposed, its architecture, and the behavior of several components is discussed. The experimental validation and performance evaluation of the system components has been performed independently for the sake of safety: autonomous flight performance has been tested on-site; the accuracy of the localization technologies deemed as deployable options has been evaluated in controlled flights; and the viability of the sample capture device designed and built has been experimentally tested.

Multi-Agent System-Based Real-Time Load Management for All-Electric Ship Power Systems in DC Zone Level

2012 ◽  
Vol 27 (4) ◽  
pp. 1719-1728 ◽  
Author(s):  
Xianyong Feng ◽  
Karen L. Butler-Purry ◽  
Takis Zourntos
Keyword(s):  
Power Systems ◽  
Real Time ◽  
Load Management ◽  
Multi Agent System ◽  
Agent System ◽  
Electric Ship ◽  
Multi Agent

A real-time decentralized algorithm for task scheduling in multi-agent system with continuous damage

2019 ◽  
Vol 83 ◽  
pp. 105628
Author(s):  
Junwu Zhu ◽  
Jieke Shi ◽  
Zhou Yang ◽  
Bin Li
Keyword(s):  
Real Time ◽  
Task Scheduling ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent
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