分布式汽轮发电机组振动监测与远程诊断系统研究

介绍了一种基于网络的汽轮发电机组振动监测与远程诊断系统，围绕数据流程和系统结构图，分析了该系统的基本构成、主要功能以及实现方法。该系统是集现场振动数据采集、网络通讯、状态监测、故障诊断和计算机网络等先进技术于一体的综合监测诊断系统，具有应用推广价值。     

汽轮发电机组振动监测与诊断系统的发展

从系统构成和总体系统两方面介绍了汽轮机组振动监测和故障诊断技术的发展，着重介绍了分布式监测诊断系统和B/S模式的远程监测诊断系统的架构与发展，并指出了今后发展的方向。     

机车电器电路故障诊断系统的研究

针对机车电气线路故障诊断难度较大的状况，提出了机车电器电路故障诊断系统的基本组成，并对车载诊断系统的基本结构，硬件结构，软件设计进行了介绍。     

多层感知器在变压器故障诊断中的应用

提出采用多层感知器模型应用于变压器故障诊断系统,将遗传算法全局搜索能力强的特点和梯度下降法局部搜索能力强的特点有效结合,增强了神经网络模型的识别效果。     

发电设备远程监测诊断系统的Web技术实现

分析了当前电力系统发电设备故障诊断中存在的问题，提出了解决方案——基于Internet的发电设备状态监测与诊断，介绍了基于Internet的发电机组远程监测诊断系统的结构与实现技术，并从实时性、安全性的角度，着重分析采用JDBC、Servlet实现方案的优劣。结合作者的实践，介绍了使用Java Applet、TCP／IP协议和Java Socket技术开发的一套远程状态监测诊断系统。图5参3     

B/S模式下的振动远程故障诊断系统

介绍了大型汽轮发电机组振动远程故障诊断系统的设计思路、基本构成以及实现方式。应用专家系统基本原理，提出了层次分类的故障思想。采用支持与否定规则表达征兆对故障诊断所起的作用。使用数据库技术对振动数据进行有效的管理。结合Activex控件技术，开发了振动远程故障诊断系统，实现了B／Ｓ模式下的远程诊断。     

汽轮机热膨胀诊断系统

据《Теплоэнргетика》2005年6月号报道，新研制了GДAPT（汽轮机汽缸壳体绝对热膨胀诊断系统）诊断系统。该系统能对热电站设备进行工艺检查和动力设备修理完成汽轮机设备在启动一停机工况时状态进行监控诊断。     

柴油机推进轴系模拟装置的扭振特性实验

从检验基于神经网络的船舶轴系扭振实时监测与诊断系统的有效性和可靠性出发，研制了以喷油泵为扭振激励装置，直流调速电机为主动力源的柴油机推进轴系模拟实验装置，开发了以PC机为核心器件，应用FFT频谱分析原理和自组织神经网络诊断技术的扭振测试诊断系统，并且对油压负载激振、隔缸断油和逐缸断油工况进行了扭振特性实验，分析了扭角与转速、振幅与频率的变化关系，比较了理论计算与实测结果的一致性。     

CSI全自动机器故障专家诊断系统及其应用

ＣＳＩ全自动机器故障专家诊断系统及其应用美国ＣＳＩ工业系统有限公司基于许多机械振动专家几十年来机器故障诊断的经验，经过对全世界几千用户无数次现场验证和不断扩充知识库，最近推出了人工智能型全自动机器故障专家诊断系统，能对旋转机械多达６７类的机械故障进行...     

基于Web的多机组远程监诊系统的设计与开发

基于Internet的远程监测与诊断是设备诊断技术和计算机网络技术的有机融合，是设备故障诊断技术发展的崭新阶段。本系统是在本地多机组分布式网络化状态监测与诊断系统基础上而开发的基于Internet的远程诊断系统。提出了系统的总体方案，论述了系统开发过程中所涉及的关键技术，对系统接入Internet所带来的安全问题进行了讨论。     

基于多智能体的发动机智能控制仿真与试验研究

本文研究了多智能体在发动机控制中的应用。所提出的发动机多智能体控制系统是由不同功能的多个独立智能体组成，通过信息融合，可将发动机控制的各种任务分配给不同的智能体。每个智能体完成各自承担的任务，由一个系统的智能体监控、协调所有智能体的动作并负责整个控制系统的运行。该控制方法的显著特点是模仿人的思路将复杂的问题简化，选择不同方法对多工况、非线形系统进行有效地控制。控制软件采用分层模块化结构，便于采用分时多任务机制，提高了控制效果。仿真和试验结果表明：多智能体控制系统比常规控制方法具有更好的稳定性、更快的动态响应特性。     

基于Multi-Agent系统的机组调度研究

将Multi-Agent系统引入机组调度中,将每台机组视为一个Agent,共同组成一个Multi-Agent系统.通过Agent之间的通信和协作,实现机组的优化调度.在机组MAS中,通过合同网机制实现负荷分配和机组启停决策.与传统调度方法相比,基于Multi-Agent的机组调度可以充分发挥机组的自治性和机组之间的协调功能,提高系统的稳定性、可靠性、灵活性,缩短系统的响应时间.     

Securing critical loads in a PV-based microgrid with a multi-agent system

The objective of this paper is to describe the development of a multi-agent system for the control of a PV-based microgrid. A case study is presented to demonstrate the agents’ abilities to island the PV-based microgrid in the event of an external fault, secure critical loads, and resynchronize the microgrid to the main grid after the fault is cleared. Simulation results indicate that the multi-agent system can isolate and stabilize the PV-based microgrid within half an electrical cycle. During this time interval all non-critical loads are shed according to their priorities while all critical electrical loads are secured. This analysis can serve as a guide for the practical implementation of an agent-based approach for resilient operation of a microgrid that has a solar photovoltaic (PV) system coupled with battery storage.     

多代理技术在距离保护中的应用研究

提出了基于多代理技术距离保护的新方案.简单介绍了多代理技术,给出了多代理距离保护技术的分层分布式结构,讨论了多代理之间的数据采集和通讯方式,以及硬件资源共享方法;分析了多代理技术距离保护的动作特性,分别给出了最佳状态及系统参数变化时的动作特性;在PSCAD/EMTDC 中仿真,结果表明多代理距离保护具有更快的动作.     

Trading platform for cooperation and sharing based on blockchain within multi-agent energy internet

With the release of the electricity sales side, large-scale small-capacity distributed power generation units are connected to the distribution side, forming multi-type market entities such as microgrids, integrated energy systems, and virtual power plants. With the large-scale integration of distributed energy, the energy market under the energy internet is different from a traditional transmission grid. It is currently developing in the direction of diversified entities and commodities, a flat structure, and a flexible and competitive multi-agent market mechanism. In this context, this study analyzes the value of combining blockchain and the electricity market presents the design of a blockchain trading framework for multi-agent cooperation and sharing of the energy internet. The nodes in market transactions are modeled through power system modeling in the physical layer and the transaction consensus strategy in the cyber layer; moreover, the nodes are verified in a modified IEEE 13 testing feeder of a distribution network. A transaction example is demonstrated using the multi-agent cooperation and sharing transaction platform based on the Ethereum private blockchain.     

Autonomous hybrid system and coordinated intelligent management approach in power system operation and control using hydrogen storage

Autonomous hybrid power systems are attractive research questions that deliver electricity to isolated consumers without being connected to the power grid. The deployment of autonomous hybrid power systems is considered as an option to improve energy security. For this reason, the main objective is to ensure the efficient production of electricity without interruption. To achieve this goal, we have proposed an accurate simulation system in which a solar energy component serves as a primary load supply, and an energy recovery component is based on a fuel cell. A long-term energy storage component comprises a water electrolyzer which is considered a primary storage and an ultracapacitor storage component deployed as a short-term storage of energy. To achieve the correct system operation, a new schema approach for intelligent energy management based on a multi-agent system is developed and discussed. The main task is to define the architecture of the multi-agent system and to define the functions of all the agents according to the characteristics of the energy needs and the production costs. Thus, in order to prove the reliability and effectiveness of the applied control strategy and its impact on the operation of the system, the proposed system is simulated using the Matlab/Simulink environment by referring to an extracted experimental database of the Tunisian Meteorological Service.     

基于Multi-Agent协作强化学习的分布式发电系统的研究

随着可再生能源技术的飞速发展,风光互补分布式发电系统以其经济性和可靠性得到了越来越广泛的应用。文中提出了一种基于Multi-Agent的以能量管理为主要特征的分布式风光互补发电系统,将联合动作学习（JAL）模式作为多Agent的协作策略,并结合强化学习技术描述了多Agent协作学习的过程。以一个风光互补发电系统为例进行仿真,实验结果证明了这种方法的有效性。     

Distributed optimization of electricity-Gas-Heat integrated energy system with multi-agent deep reinforcement learning

The coordinated optimization problem of the electricity-gas-heat integrated energy system (IES) has the characteristics of strong coupling, non-convexity, and nonlinearity. The centralized optimization method has a high cost of communication and complex modeling. Meanwhile, the traditional numerical iterative solution cannot deal with uncertainty and solution efficiency, which is difficult to apply online. For the coordinated optimization problem of the electricity-gas- heat IES in this study, we constructed a model for the distributed IES with a dynamic distribution factor and transformed the centralized optimization problem into a distributed optimization problem in the multi-agent reinforcement learning environment using multi-agent deep deterministic policy gradient. Introducing the dynamic distribution factor allows the system to consider the impact of changes in real-time supply and demand on system optimization, dynamically coordinating different energy sources for complementary utilization and effectively improving the system economy. Compared with centralized optimization, the distributed model with multiple decision centers can achieve similar results while easing the pressure on system communication. The proposed method considers the dual uncertainty of renewable energy and load in the training. Compared with the traditional iterative solution method, it can better cope with uncertainty and realize real- time decision making of the system, which is conducive to the online application. Finally, we verify the effectiveness of the proposed method using an example of an IES coupled with three energy hub agents.     

面向电网稳定性的智能化直流输电控制系统

为了更好地进行能源调配,我国正开始建设坚强智能电网,直流输电控制系统应实现更多系统层的控制功能。智能电网中的直流输电系统的根本控制目标是保障电网整体的自适应和自愈性。为了实现这一目标,需要从直流输电控制的可观测性入手增加控制观测量,引入合理的集控、协调控制理论作为支撑,完善控制输出环节,实现对电网的有效控制。控制的实时性和决策能力是智能化直流输电控制的核心。从可观性、可控性、实时性、自适应性角度分析,提出了面向电网稳定性的多智能体智能化直流输电控制技术框架,为直流输电系统级控制技术的发展提出了思路。     

大型风电场多Agent系统建模仿真及降损控制

设计一种基于多Agent的风电场控制架构,并针对集电线路损耗突出的问题,提出一种无功降损控制策略。同时,开发基于Java/JADE + MySQL + Matlab/Simulink的混合仿真平台,对某125 MW大型风电场进行多Agent系统建模,算例结果验证了所提策略的有效性。