Multi-agent Management System Research Articles

Multi-agent System for Management of Data from Electrical Smart Meters

The smart meter can process sensor data in a residential grid. These sensors transmit different parameters or measurement data (index, power, temperature, fluctuation of voltage and electricity, etc.) to the smart meter. All of these measurement data can come in different ways at the smart meter. The sensors transmit each measurement data to the smart meter. In addition, the collection of this data to a central system is a significant concern to ensure data integrity and protect the privacy of residents. The complexity of these data management also lies in their volume, frequency, and scheduling. This work presents a scheduling and a collection mechanism in private power consumption data between both sensors and smart meters on one hand and between smart meters and the central data collection system on other hand. We have found several approaches to intelligent meter data management in scientific researches. We propose another approach in response to this concern for the scheduling and collection of measurement data to a central system from residential areas of sensors’ network connected to smart meters. This work is also an example of a link between data collection and data scheduling in intelligent information management,ransmission, and protection. We also propose a modeling of the measurement objects of smart grid and highlight the changes made to these objects throughout the process of data processing. It should be noted that this smart grid system consists of three main active systems namely sensors, smart meters and central system. In addition to these three systems, there are other systems that communicate with the smart meters and the central system. We have identified three implementation models for the smart metering system. We also present an intelligent architecture based on multi-agent systems for the smart grid. Most current electricity management systems are not adapted to the new challenges imposed by social and economic development in Africa. The objectives of this study are to initiate the design of a smart grid system for the management of electricity data.

A Reservation Method for Multi-agent System Intersection Management with Energy Consumption Considerations

A vast number of contemporary studies investigate to resolve traffic congestion in completely autonomous vehicle scenarios. In scenarios when autonomous vehicles approach an intersection at which there are no traffic signals, they are able to drive in a coordinated manner without colliding and minimizing the consumption of fuel or electricity, which results in positive environmental effects. In order to achieve this, a multi-agent management system that includes Vehicle Agents (VAs) and an Intersection Agent (IA) has been used in this paper. In this method, the vehicles will share the area they expect to occupy within the intersection together with their estimated arrival time. The IA, in parallel, arranges reservations on a time-space basis and publicizes the results of reservations to the vehicles. Utilizing this information, individual VAs adjust their speed as efficiently as possible, e.g. reducing their speed or applying an efficient braking strategy, before reaching the intersection zone so that they do not need to stop and can pass through the intersection as quickly as possible. In this paper, the advantages of the proposed system are demonstrated by comparing it with some other types of traffic control systems.

Multi-agent management system for electric vehicle charging

Summary This paper proposes an implementation, based on a multi-agent system, of a management system for automated negotiation of electricity allocation for charging electric vehicles (EVs) and simulates its performance. The widespread existence of charging infrastructures capable of autonomous operation is recognised as a major driver towards the mass adoption of EVs by mobility consumers. Eventually, conflicting requirements from both power grid and EV owners require automated middleman aggregator agents to intermediate all operations, for example, bidding and negotiation, between these parts. Multi-agent systems are designed to provide distributed, modular, coordinated and collaborative management systems; therefore, they seem suitable to address the management of such complex charging infrastructures. Our solution consists in the implementation of virtual agents to be integrated into the management software of a charging infrastructure. We start by modelling the multi-agent architecture using a federated, hierarchical layers setup and as well as the agents' behaviours and interactions. Each of these layers comprises several components, for example, data bases, decision-making and auction mechanisms. The implementation of multi-agent platform and auctions rules, and of models for battery dynamics, is also addressed. Four scenarios were predefined to assess the management system performance under real usage conditions, considering different types of profiles for EVs owners', different infrastructure configurations and usage and different loads on the utility grid (where real data from the concession holder of the Portuguese electricity transmission grid is used). Simulations carried with the four scenarios validate the performance of the modelled system while complying with all the requirements. Although all of these have been performed for one charging station alone, a multi-agent design may in the future be used for the higher level problem of distributing energy among charging stations. Copyright © 2014 John Wiley & Sons, Ltd.

A Multi-Agent Management System for Grid Resource Allocation

This paper designs a decentralized resource multi-agent system based on a novel reverse auction protocol. In the implementation of this multi-agent system, first the multi-attribute bids offered by the provider agents are calculated based on the users preference value function. Furthermore, an on-line reverse auction mechanism is provided to describe the on-line situation. I.e., the different grid resource provider agents arrive at different times and this mechanism is required to make an immediate decision about each bid as it is received. Numerous simulating experiments show that the proposed reverse auction method is effective in resource utilization and has better performance in user utility.

Multi-agent Oriented Policy-based Management System for Virtual Enterprise

Virtual enterprise is a temporary organization consists of some independent enterprises, aiming to share technology, cost and other resource. It is predicted to be the most important business organizational patterns in the 21st century. To up speed the development of virtual enterprise, this paper presented a policy-based multi-agent management system to simulate the manipulation of virtual enterprise. Firstly, a hierarchical policy specification is proposed to control the behavior of agent. Secondly, the detection algorithms and resolution strategies are described for the conflicts that may be brought about by hierarchical policy. Thirdly, a policy admin tool to simplify the operations of policies is presented. Each enterprise registered in this tool is assigned an agent; policies made by enterprises are executed by agents correspondingly. Subdivision of application level and representation scope of policy leads to that policy-based mechanism not only provides good system control on autonomy agents, but also ensures the flexibility of agents; and gives the solution for policy conflicts at the same time. Finally, the main characteristics of this system are discussed by an example.

A Mode of Combined ERP and KMS Knowledge Management System Construction

Abstract The core of ERP and knowledge management is quite similar; both will send appropriate knowledge (goods, funds) to the right people (position) at the right time. It is reasonable to believe that increase the knowledge management system in ERP will help companies achieve their goals better. This paper compares the concept of logical point of hall three-dimensional structure of the knowledge management system and the ERP in methodology level. And found they are very similar in the time dimension, logic dimension and knowledge dimension. This laid the basis of methodology in the simultaneous planning, implementation and applications. And then proposed a knowledge-based ERP Multi-Agent Management System Model. Finally, the paper described the process from planning to implementation of knowledge management ERP system with multi-Agent interaction and impact from three concepts, management thinking, software and system.

Development of a multi-agent management system for an intelligent charging network of electric vehicles

AbstractThis paper addresses the modelling and simulation of a battery charging infrastructure for electric vehicles, with the objective of pro-actively scheduling the charging of up to fifty vehicles so as not to overcharge the electrical network. Benefits of having the charging stations differ (as much as possible while satisfying end-user requirements) battery charging for those hours when electricity consumption is otherwise low include rendering electricity consumption more uniform along the day. A multi-agent system was used to design a distributed, modular, coordinated and collaborative multi-agent management system for this infrastructure. Simulation results show the effectiveness of this approach under the conditions of four real-life scenarios.

A multi-agent system for meteorological radar data management and decision support

The continuous processing and evaluation of meteorological radar data require significant efforts by scientists, both for data processing, storage, and maintenance, and for data interpretation and visualization. To assist meteorologists and to automate a large part of these tasks, we have designed and developed Abacus, a multi-agent system for managing radar data and providing decision support. Abacus' agents undertake data management and visualization tasks, while they are also responsible for extracting statistical indicators and assessing current weather conditions. Abacus agent system identifies potentially hazardous incidents, disseminates preprocessed information over the web, and enables warning services provided via email notifications. In this paper, Abacus' agent architecture is detailed and agent communication for information diffusion is presented. Focus is also given on the customizable logical rule-bases for agent reasoning required in decision support. The platform has been tested with real-world data from the Meteorological Service of Cyprus.

A multi-agent system for managing the quality of service in telecommunications networks

In this paper we propose X-MAQoS, a novel XML-based multi-agent system for the QoS management in telecommunications networks. This system is characterized by the following features: (i) it handles a user profile and exploits it jointly with suitable network resource management techniques to maximize user satisfaction; (ii) it is capable of operating in a large variety of telecommunications networks; (iii) it is semi-automatic; (iv) it exploits XML for guaranteeing a light, versatile and standard mechanism for information representation, storing and exchange. In this paper the basic features of the system are discussed in details. Furthermore, the main results of a performance evaluation study in UMTS environment, aiming at comparing X-MAQoS with alternative agent-based approaches for handling user access to telecommunications networks, are reported.