基于协同节能理念的电网能效管理系统研究

针对当前电力能效管理方面遇到的问题,该文提出了电力公司与用户侧之间协同节能的理念,基于该理念设计出电网能效管理系统,并对海量数据挖掘与分析、能效管理模型、负荷分类和负荷短期预测、信息互动与共享等关键技术进行了研究。该系统为提升电力公司对用户侧用电行为与能效过程的分析能力、管理能力与控制能力打下坚实的基础,促进电网与用户侧协同节能,实现电网能效的最大化。     

基于量子滤波器的电能数据检测与分析

随着以智能电表为核心的智能电网快速发展,电力大数据吸引了用户、用电企业、政府的注意力.用电数据容易受到各种未知的随机干扰.探索了将自适应滤波技术引入电网信息监测.而由于用电负荷曲线复杂、不能给出一个具体的模型,利用量子递归神经网络构造了一个与模型无关的智能滤波器.最后提出了利用量子滤波器进行电力负荷预测以及利用测量误差的概率密度函数进行用户异常用电检测的设想.     

基于用电信息采集的非侵入式居民电力负荷自动监测系统

传统系统在进行居民电力负荷监测时,存在高峰负荷降低效果不明显,用电异常监测及时性差等问题.为此,文中设计基于用电信息采集的非侵入式居民电力负荷自动监测系统,有效解决了以上问题.该系统采集居民用电信息并分析居民用电异常情况,对采集到的用电信息数据进行去冗余处理,控制信息的采样频率和通信效率;依据压缩感知方法重构用电负荷数...     

一种基于LSTM神经网络的短期用电负荷预测方法

负荷预测目前已成为保障电力系统用电安全的重要基础工作,在我国市场经济制度持续完善过程中,能源产业也逐渐发展为以市场为导向,这就要求负荷预测要更加可靠、实时与准确.保证负荷预测的准确性,能为电力销售计划的制定奠定坚实基础并提供可靠依据,确保电网运行更加安全与经济.在智能电网时代下,电力用户侧涉及到海量数据,且用户数据具有...     

电力计量中负荷控制管理系统的应用分析

电力计量是电力企业运营中的一项重要任务,技术性与专业性均较强,将负荷控制管理系统应用于电力计量中,有利于实现对电网负荷情况的有效控制,提升电力计量工作效率、质量.本文围绕负荷控制管理系统功能与建设展开了具体轮式,以切实提高电力企业电能管理水平,确保电力系统稳定运行.     

关于电力营销管理中负荷控制的浅谈

随着国民经济的高速发展,我国的电力事业也取得了飞速的发展。伴为了提高电力需求侧的管理水平,搞好电力营销管理工作,保证电网安全、经济、优质的运行,目前全国各个省份都在积极开展电力负荷控制工作。实践证明,电力负荷控制对于电力生产、电力经营具有十分重要的意义。     

基于融合决策的非侵入式负荷识别方法

对用电客户和电网公司来说家庭能源管理具有极其重大的意义.为实现能源管理中用电细节监测的目的 ,本文通过采集用户电力入口端电压、电流信息,并提取相关负荷特征,随后进行非侵入式负荷识别,最终达到监测电器用电细节的目的 .针对非侵入式负荷识别中不同功率等级电器同时工作时,小功率电器容易出现被错误识别的情况,提出基于功率-谐波...     

大数据背景下智能电网动态电力监控研究

本文针对我国电力使用过度集中造成的电力不稳定,供电压力骤增以及电力闲置造成电力浪费等主要问题,通过研究在大数据这一背景下如何有效实行智能电网动态电力监控,如何运用同步相量测量单元、高级计量架构等关键技术方法优化配用电网系统并提升电力供应的质量和可靠性,通过利用实时反馈的用电量及价格,控制消费者的用电量,将用电量控制在一个稳定的范围内,有效提高电网终端用电效率,平滑电网负荷曲线,降低电网负荷压力及电能损耗.     

配变监测终端电能计量和校表设计

电力工业的发展和电网运行效率的提高,对电力负荷监测和管理水平提出了更高的要求.建立配变监测终端管理系统,可使终端和系统主站协同工作,实现电能计量、自动校表、远程通信、安全防护和报警等功能.文章重点介绍了配备监测终端电能计量和校表功能的设计与实现.该设计摒弃了传统的人工抄表和手动校准方式,全面实现了远程抄表和自动校表,为电网电力的建设和自动化管理提供了重要的技术支持.     

电力谐波的危害和控制

电力谐波对电网和用电设备的危害随着用电负荷的增长日益显得严重。本文结合通信机房的实际情况,对电力谐波的控制手段、工程设计要点和实际达到的效果进行了全面的阐述与探讨。     

基于ART算法的电力负荷预测

为了有效支持用电管理决策及负荷预测,在分析用电管理及智能辅助决策支持技术发展现状的基础上,提出了一种基于自动回归树(ART)算法的电力负荷预测方法.利用该预测方法对电力远程自动抄表系统所采集的历史数据进行了处理分析.针对实际系统应用,验证了该方法适用于短期负荷预测,也适用于时未来电力负荷的准确快速预测.因此它是一种行之有效的方法.     

基于ZigBee的电力线数据采集系统的设计

设计了一种以低功耗单片机MSP430和无线射频芯片CC2430为核心的电力线数据采集系统,该系统主要采集电力线上的电流信号,以监测电力线的用电负荷,具有高可靠性和易扩展性。测试结果表明该系统能很好的应用到现场环境中。     

基于GSM网络的远程抄表终端的设计研究

为提高电能计量管理水平,实现电力负荷的合理分配,对基于GSM短信息的远程无线抄表终端进行设计研究。主要介绍了远程抄表终端软、硬件设计中各个模块的功能及其实现过程。该终端可为构建电力系统负荷管理系统提供有力的支持和保证,既提高了电力调度的自动化程度,又大大节约了人力和物力。     

An energy management scheme based power-over-fiber system

Power-over-fiber technology provides several advantages for harsh industrial application and can potentially be widely used in electric power system. In this paper, a reliable power-over-fiber system is presented, which is able to adjust the optical power automatically corresponding to the variance of the output load. An optic-electric feedback energy management scheme is designed and experimentally verified. The static and dynamic responses of the system towards load variances are further tested. The results show that the working status of the laser can be dynamically changed according to the output load, rather than maintaining the laser at the status of high-power output, which will potentially prolong the life and enhance the reliability of the system.     

基于多代理的电动汽车充电站能量管理系统

针对电动汽车用户对充电、调节电网负荷以及最大化充电站运营收益的要求问题,采用UML统一建模语言对电动汽车充电站能量管理系统进行建模,从能量调度角度对电动汽车充电过程进行整体功能分析与策略整合,同时电动汽车充电站能量管理系统基于多代理技术,将充电过程中的各方作为具有适应性的代理,各代理通过交互通讯优化自身决策,简化复杂系统的控制问题,再通过UML面向对象的开发流程建立了一个具有拓展性和综合性的模型框架,为下一步实现系统的软件工程、硬件配置奠定了基础。     

ALFC of hybrid multi-generation power system using UC and TCPS by ANFIS control technique

ABSTRACT

This paper reveals the impact of an ultra-capacitor (UC) and thyristor control phase shifter (TCPS) on frequency stability of large hybrid interconnected power system. The impact of UC and TCPS has been studied for general purpose hybrid generated multi areas power system. Further to this, an adaptive neuro fuzzy inference system (ANFIS) is is proposed for automatic load frequency control (ALFC). Thermal and reheat thermal plants are connected in Area-1 and area-2, whereas area-3 has hydro plant and area-4, 5, 6 consists of nuclear power plant, diesel power and gas turbine plant, respectively. A micro grid based on Solar Photovoltaic (PV) system and fleet of electric vehicle (EV) system is developed and integrated with load side of area-1 for load management in interconnected grid. Effect of Small load change and large load change are discussed in separate cases. The controllers are tuned by adding sliding surface to enhance the performance. A comparison between ANFIS and PI-based control approaches with and without UC and TCPS exhibits the superiority of ANFIS controller by integrating UC and TCPS. The results of the proposed control technique are compared with already published results.     

Network Control System (NCS) for Performance Improvement of Dual Converter Power Supply System Using Adaptive Inverse Dynamic Mode (AIDMC) Control Technique

With recent advances in power electronics, dual converter power supply based electric variable-speed drives are significantly used in many industries uses. Power electronic motor drivers are becoming able to efficiently read the inflexible characteristics of DC motor to prerequisites the load. By controlling the input armature voltage, the DC motor speed automatically changed. Half-bridge converter, semi converter, full bridge converter and dual converter are some of the thyristor controlled rectifier circuits are widely used in variable speed drives. In This work presents single phase dual converter power supply system based on adaptive inverse dynamic mode control (AIDMC) technique. The efficient dual converter control solution for industrial network control system (NCS) is proposed based on the industrial grade requirements, designed for low to high voltage operation. As the era of connecting the devices with the cloud is being increased gradually, the proposed method uses an NCS protocol for monitoring as well as controlling the dual converter system. The proposed method provides us the control over forward and reverse rotation, forward and reverse regeneration. From the simulation results, the proposed result offers variable DC voltage which is capable of four quadrant operation of the drive in a speed-torque plane by using MATLAB Simulink environment. A hardware setup also developed to validate the simulation. Over 96% accuracy achieved full load condition for proposed dual converter power supply system based on AIDMC controller.     

基于Modbus协议的三相电力智能配电系统设计

介绍了一种基于Modbus协议的三相电力智能配电系统。系统以16位MSP430处理器为控制核心,采用SAMES SA9904B三相电参量芯片实现三相电力系统的多种电参量的采集和处理,通过标准的Modbus协议可实现对电力设备的实时在线监测、保护、控制和电能计量等。该系统可以单独作为三相电力配电模块使用,也可以方便接入Modbus通信网络,实现了与其他Modbus设备的兼容,可广泛应用于中低压电力配电系统,达到了电力系统配电自动化、信息化和网络化的发展要求。     

基于本地功率基准的异常用电监测方法

目前电力系统中有不平衡负荷存在,不平衡负荷会引起电能计量的误差。对于计量误差的处理目前普遍在主站结算并归于线损。文中为判断用户是否使用不平衡负荷及其所引起的误差值,利用电力系统中电压电流关系推算出不能直接测量的电压电流值,并应用三相四线制功率计算方法建立本地功率基准,与实际功率加以比较,判断用户是否存在不平衡负荷,并将计量误差量化。这对于防窃电、安全用电有重要作用,同时对于电力系统的节能降损也起着关键作用。通过Matlab仿真分别对正常用电和存在不平衡负荷用电进行了仿真,验证结果表明,不平衡负荷用电时,存在计量误差,且电力部门少计量了使用不平衡负荷用户所消耗的电能。     

Energy Management Fuzzy Logic Supervisory for Electric Vehicle Power Supplies System

This paper introduces an energy management strategy based on fuzzy logic supervisory for road electric vehicle, combining a fuel cell power source and two energy storage devices, i.e., batteries and ultracapacitors. The control strategy is designed to achieve the high-efficiency operation region of the individual power source and to regulate current and voltage at peak and average power demand, without compromising the performance and efficiency of the overall system. A multiple-input power electronic converter makes the interface among generator, energy storage devices, and the voltage dc-link bus. Classical regulators implement the control loops of each input of the converter. The supervisory system coordinates the power flows among the power sources and the load. The paper is mainly focused on the fuzzy logic supervisory for energy management of a specific power electronic converter control algorithm. Nevertheless, the proposed system can be easily adapted to other converters arrangements or to distributed generation applications. Simulation and experimental results on a 3-kW prototype prove that the fuzzy logic is a suitable energy management control strategy.