基于多Agent的含DG智能配电网差动保护自愈方法

含DG智能配电网中的潮流方向随分布式发电的变化而变化,导致配电网故障自愈的效果难以保障,因此,提出基于多Agent的含DG智能配电网差动保护自愈方法。通过构建基于多Agent的MAS体系结构,将其应用于含DG智能配电网差动保护和自愈的控制,在MAS体系结构的数据处理层完成差动保护,并在MAS体系结构的协调控制层实现故障自愈。结果表明,该设计方法不仅可以恢复配电网故障区域的电力,而且在操作次数、线损及功率因数方面可达到较理想的效果。

基于多Agent技术的配电网自适应故障定位方法研究

随着电力行业的快速发展,配电网的规模和复杂性也在不断提升。然而,配电网中的故障定位问题一直是困扰电力系统稳定运行的难题。传统的故障定位方法往往存在定位精度不高、响应速度慢等问题。因此,文章提出一种基于多Agent技术的配电网自适应故障定位方法,旨在提升故障定位的准确性和实时性。实验结果表明,基于多Agent技术的配电网自适应故障定位方法在复杂和动态配电网环境中具有显著优势。

基于多Agent的分布式防空战场资源管理研究

分布式防空战场资源管理是构建现代防空体系的核心问题。基于对分布式防空战场资源管理特点的分析,提出了基于多智能体(Agent)的分布式防空战场资源管理体系结构,并深入分析了该管理系统的组成和功能,为实现定性和定量相结合的防空战场资源管理的综合集成,提供了一条有效的途径。

基于多Agent的电站负荷优化分配实施系统

在电站的整个运行过程中,机组间负荷的分配是一个非常关键性的过程.因此仅有好的优化算法是远远不够的,还需要有一个很好的实施系统。本论文将多Agent理论和优化算法结合起来,建立了一个具有智能性,并能将优化计算的结果很好加以实施的电站负荷优化分配实施系统,从而为电站机组间负荷优化分配的迅速而高效的实施提供了依据。

多Agent理论与水电站经济运行

多Agent理论是人工智能领域的学者将群体社会行为分工协作的本质抽象而来的新型理论,并且在不同的学术领域得到了广泛的推广应用。本文将多Agent理论引入水电站经济运行,建立了一个基于多Agent理论的水电站经济运行系统,这个系统由负荷优化分配多Agent子系统、机组最优组合及启停机次序确定多Agent子系统、机组运行控制多Agent子系统以及用来协调它们的管理Agent和通信Agent构成,通过系统内部Agent之间的协调通信来实现水电站经济运行。本文将多Agent理论与水电站经济运行结合起来进行研究,从而为水电站经济运行的实现提出了一条新的智能化的方法。

The Optimization Study about Fault Self-Healing Restoration of Power Distribution Network Based on Multi-Agent Technology

In order to quickly and accurately locate the fault location of the distribution network and increase the stability of the distribution network,a fault recovery method based on multi-objective optimization algorithm is proposed.The optimization of the power distribution network fault system based on multiagent technology realizes fast recovery of multi-objective fault,solve the problem of network learning and parameter adjustment in the later stage of particle swarm optimization algorithm falling into the local extreme value dilemma,and realize the multi-dimensional nonlinear optimization of the main grid and the auxiliary grid.The system proposed in this study takes power distribution network as the goal,applies fuzzy probability algorithm,simplifies the calculation process,avoids local extreme value,and finally realizes the energy balance between each power grid.Simulation results show that the Multi-Agent Technology enjoys priority in restoring important load,shortening the recovery time of power grid balance,and reducing the overall line loss rate of power grid.Therefore,the power grid fault self-healing system can improve the safety and stability of the important power grid,and reduce the economic loss rate of the whole power grid.

Distributed Human Resource Redistribution System Based on Agent and Ontology

A computer system for human resource （HR） redistribution system is presented to solve the balance problem of the ＂surplus resources＂ and ＂surplus tasks＂ among a group of project units. The system architecture is designed in a compositional manner using the elements of agent technology and knowledge technology. A combination of generic agent models, ontology and knowledge provides an effective approach to address the dynamic, distributed and knowledge-intensive characters of the HR management. In the system, the broker agent acting as intermediary provides matchmaking services to the domain agents, and the individual domain agents communicate directly with each other. The HR ontology provides the semantic match of the surplus task and the surplus resource. Finally, an application example is presented to illustrate the achieved solution for a concrete scenario. This novel way offers a comprehensive HR exchange solution and is snitablc for both intra-organizational and inter-organizational HR management.

Regulation of MRI contrast and cellular retention time by cellular interfacial distribution of Gd agents:Implications for stem cell tracking

Human mesenchymal stem cells(hMSCs)were labeled with Dotarem or(Gd-DOTA)2-EM7(EM7Gd2)via electroporation(EP).Cellular transmission electron microscopy(TEM)reveals free distribution of Gd agents and formation of EM7Gd2 clusters in the cytosol.Cellular magnetic resonance imaging(MRI)reveals that the free Gd agents induce MRI signal enhancement effect due to its fast exocytosis and subsequent interaction with intercellular water molecules.The EM7Gd2 clusters exhibits a longer intracellular retention time and induce a persistent MRI signal reduction effect.The cellular MRI results are interpreted by taking into account both T1 and T2 relaxation rates and their correlation with cellular binding structures of Dotarem and EM7Gd2.

多Agent技术研究与应用

介绍了Agent和多Agent技术的背景和概念,比较了Agent系统和多Agent系统的体系结构,着重分析了Agent的结构,说明了多Agent系统中的各Agent之间用来进行知识交互的通信语言,最后列举了多Agent的应用并展望了未来的发展方向,为进一步研究提供了理论依据和基础。

Influence of Different Luting Agents on the Stress Distributions of Implant-supported All-ceramic Single Crown

The purpose of this study was to investigate the influence of different luting agents on the stress distribution within the crown, abutment and peri-implant bone of implant-supported all-ceramic single crown. A three-dimensional finite element model of an implant-supported single crown for the first premolar of mandible was created by COSMOS 2.85. Resin-modified glass ionomer and two different resin adhesives were used to cement the crown and abutment. Vertical 600 N and horizontal 225 N loads were applied to stimulate the condition of chewing. The stress distributions within the all-ceramic crown, abutment and peri-implant bone were analyzed. The experimental results show that the stress distributions of all-ceramic crown, abutment, implant and peri-implant bone were similar when different luting agents were used. The result of present study indicated that luting agents had no influence on the stress distributions of implant-supported all-ceramic single crown.

Multi Agent Based Power Distribution System Restoration—A Literature Survey

Multi agent system (MAS) is one of the most dominant research wings which consist of several agents who interact with each other to achieve a common objective. MAS has been developed for a wide range of applications in power systems. Power system restoration is a main application of that. Researchers present several architectures for fault identification, isolation and restoration of the power system. This paper presents a complete literature review on available architectures for power distribution restoration and future trends in MAS based power system restoration.

A Review on Distribution Model for Mobile Agent-Based Information Leakage Prevention

With the continuous use of cloud and distributed computing, the threats associated with data and information technology (IT) in such an environment have also increased. Thus, data security and data leakage prevention have become important in a distributed environment. In this aspect, mobile agent-based systems are one of the latest mechanisms to identify and prevent the intrusion and leakage of the data across the network. Thus, to tackle one or more of the several challenges on Mobile Agent-Based Information Leakage Prevention, this paper aim at providing a comprehensive, detailed, and systematic study of the Distribution Model for Mobile Agent-Based Information Leakage Prevention. This paper involves the review of papers selected from the journals which are published in 2009 and 2019. The critical review is presented for the distributed mobile agent-based intrusion detection systems in terms of their design analysis, techniques, and shortcomings. Initially, eighty-five papers were identified, but a paper selection process reduced the number of papers to thirteen important reviews.

Agent通信及多Agent系统(MAS协作机制的研究)

Agent及多Agent系统(Multi—Agent system,MAS)已被视为一种新的软件设计风格。本文在介绍了Agent的概念与BDI模型的基础上,分析了Agent的通信类型、通信规划以及多Agent系统(MAS)的基本模型与体系结构,同时对MAS的协作、协商、协调机制进行了深入研究,提出了远程通信和移动Agent通信概念。

基于免疫Agent的配电网电缆线路故障自愈系统

传统配电网电缆线路无法有效管理负荷,且故障自愈时间较长。为了解决这个问题,设计了基于免疫Agent的配电网电缆线路故障自愈系统。采用免疫Agent结构采集电缆线路异常数据,并将数据发送给各个电缆线路内的成员代理完成信息交互。采用双中央处理的智能控制终端,实现就地控制。采用联邦式通信服务器,协调Agent通信行为。构建故障自愈模型,设定拓扑约束条件,确定评估价指标,设计自愈执行步骤。根据实验结果可知,应用该方法后,98%以上的配电网电缆故障得以自愈,且耗时更短,应用效果非常理想。

20 ppm Anhydrous Ammonia Odor Agent Proposed for Hydrogen Fuel for Safe Detection of Leaks

Preferably 20 ppm anhydrous ammonia (NH3) is proposed to be added to hydrogen fuel (H) made from renewable energy sources (green hydrogen), so that H leaks may be easily detectable by smell, but not dangerously toxic. Including this odor agent, would allow H to be distributed safely in pipes, as required by law, and it would allow H to be safely stored, transported, and exported for sale, and widely commercialized. Further research is suggested to identify optimum pressure, temperature, and automated technique for injecting NH3 into H, and to chart the minimum concentration needed, as a function of temperature and humidity. An application to make hypersonic H burning aircraft safer for ground maintenance crews is proposed. An ability to make, store and distribute H, made from local sources of renewable energy, would reduce a need for fossil fuels, especially in poor, remote communities, where it could improve their economy by creating an export product for sale, while reducing pollution.

Geo-Agents研究

Agent技术为全面准确了解分布式系统的特点及解决分布式应用问题提供了一种全新的方法 .论文在分析了分布式地理信息系统的特点及所面临的问题后 ,提出了一个基于 Agent的分布式地理信息系统模型 Geo-Agents.在这个模型里 ,首先分析了 GIS Agent的分类、特点及结构 ,将 GIS Agent分为 3种类型 :系统管理 Agent、GIS功能 Agent和接口 Agent,每个 GIS Agent都是一个由控制子系统、功能子系统、通信接口、人机界面及数据资源组成的有机实体 ,具有独立性、确定性、自主性、交互性和主动性等特点 ;其次 ,采用消息机制实现不同 GIS Agent之间的合作与交互 ,并结合 GIS应用的特点及 Agent的功能 ,设计了一组特定的 Geo- Agents消息 ;最后 ,给出了Geo- Agents模型的体系结构及网络分布模型 ,并基于 Agent设计了一个面向用户任务的人格化的二次开发语言Geo Script.与此同时 ,还设计了一个基于网络的多层空间元数据库框架 ,为 GIS Agent的能力提供了保证 .实践表明 ,Geo- Agents除了具有分布式 GIS的基本特点外 ,而且能够很好地实现分布式地理空间数据的智能服务、超越Client/ Server结构的分散对等分布计算以及 GIS领域中的合作等 ,是一个具有广阔发展前景的分布式

移动Agent框架的设计及其关键技术

移动Agent技术具有良好的应用前景,应如何设计和实现一个移动Agent系统?该文设计了一个移动Agent框架,并详细给出实现:(1)异步迁移与移动用户支持;(2)迁移策略与并行处理;(3)通信管理与同步机制三个关键技术的解决方法。

基于multi-agent的分布式专家系统原理及应用

基于Internet/Intranet松耦合环境设计分布式选矿专家系统 ,采用面向agent(智能体 )的系统开发方法和multi agent分布协作求解模式 ,采用异构异质agent,即agent可建构于广域网、局域网和单处理器紧耦合模式 ,且求解a gent可以是基于符号系统、神经网络、遗传算法等agent的协作 .此外 ,建立了统一的知识库标准 ,基于关系数据模式表征了传统的规则、框架、语义网络及谓词逻辑等知识表示方法 .其中 ,基于数据库引导及搜索技术实现了正向推理机制及反向推理机制 ,易于agent之间知识的传输 ,大大提高了通信效率 ;基于DCOM技术 ,以C + +构建框架类加速了agent的实现 .以矿石可选性预测求解为例 ,实现了多agent协作求解的仿真系统 。

分布式多Agent仿真系统的控制结构研究

在研究多 Agent 仿真技术的基础上,提出了一个分布式多 Agent 仿真系统的控制功能框架(DMASCF)。该框架包括了输入接口控制、输出接口控制、模型结构控制、仿真时钟控制、实验数据控制、仿真实验控制、仿真逻辑控制七个功能元素。分析了各种控制功能的工作原理与机制,并从输入输出连接关系角度分析了多 Agent 仿真系统层次化与分布式建模的本质。

一种基于多Agent系统的智能家庭网络研究

在分析家庭网络智能化需求的基础上,提出一种基于多Agent系统的智能家庭网络MAIHN模型,用Agent实现不同功能单元的控制与管理,通过MAS技术的思想、方法和体系建立智能家庭网络整体结构。给出了MAIHN模型的各个组成部分,对模型中各种Agent的功能设计与实现模型进行了分析,研究了MAIHN模型中的多Agent协作与通信策略,并设计了系统的实验原型。