Research on Optimal Configuration of Energy Storage in Wind-Solar Microgrid Considering Real-Time Electricity Price

Capacity allocation and energy management strategies for energy storage are critical to the safety and economical operation of microgrids.In this paper,an improved energymanagement strategy based on real-time electricity price combined with state of charge is proposed to optimize the economic operation of wind and solar microgrids,and the optimal allocation of energy storage capacity is carried out by using this strategy.Firstly,the structure and model of microgrid are analyzed,and the outputmodel of wind power,photovoltaic and energy storage is established.Then,considering the interactive power cost between the microgrid and the main grid and the charge-discharge penalty cost of energy storage,an optimization objective function is established,and an improved energy management strategy is proposed on this basis.Finally,a physicalmodel is built inMATLAB/Simulink for simulation verification,and the energy management strategy is compared and analyzed on sunny and rainy days.The initial configuration cost function of energy storage is added to optimize the allocation of energy storage capacity.The simulation results show that the improved energy management strategy can make the battery charge-discharge response to real-time electricity price and state of charge better than the traditional strategy on sunny or rainy days,reduce the interactive power cost between the microgrid system and the power grid.After analyzing the change of energy storage power with cost,we obtain the best energy storage capacity and energy storage power.

High-SpeedReal-TimeDataAcquisitionSystem Realized by Interleaving/Multiplexing Technique

The interleaving/multiplexing technique was used to realize a 200?MHz real time data acquisition system. Two 100?MHz ADC modules worked parallelly and every ADC plays out data in ping pang fashion. The design improved the system conversion rata to 200?MHz and reduced the speed of data transporting and storing to 50?MHz. The high speed HDPLD and ECL logic parts were used to control system timing and the memory address. The multi layer print board and the shield were used to decrease interference produced by the high speed circuit. The system timing was designed carefully. The interleaving/multiplexing technique could improve the system conversion rata greatly while reducing the speed of external digital interfaces greatly. The design resolved the difficulties in high speed system effectively. The experiment proved the data acquisition system is stable and accurate.

Application of 3D Acquisition Design Technology in HCX Gas Storage Project*

In view of the shallow buried depth of the target layer and it is difficult to obtain high-quality seismic data of HCX gas storage project, based on the acquisition parameters of the adjacent area, the 3D acquisition technical scheme is designed for focusing on the imaging of the top of HCX high-steep anticline. By optimizing the acquisition parameters and the excitation and receiving conditions, the acquisition of high-resolution and high signal-to-noise ratio seismic data is guaranteed to meet the demand of fracture prediction and reservoir prediction.

Seismic performance evaluation of VCFPB isolated storage tank using real-time hybrid simulation

Variable curvature friction pendulum bearings(VCFPB)effectively reduce the dynamic response of storage tanks induced by earthquakes.Shaking table testing is used to assess the seismic performance of VCFPB isolated storage tanks.However,the vertical pressure and friction coefficient of the scaled VCFPB in the shaking table tests cannot match the equivalent values of these parameters in the prototype.To avoid this drawback,a real-time hybrid simulation(RTHS)test was developed.Using RTHS testing,a 1/8 scaled tank isolated by VCFPB was tested.The experimental results showed that the displacement dynamic magnification factor of VCFPB,peak reduction factors of the acceleration,shear force,and overturning moment at bottom of the tank,were negative exponential functions of the ratio of peak ground acceleration(PGA)and friction coefficient.The peak reduction factors of displacement,acceleration,force and overturning moment,which were obtained from the experimental results,are compared with those calculated by the Housner model.It can be concluded that the Housner model is applicable in estimation of the acceleration,shear force,and overturning moment of liquid storage tank,but not for the sliding displacement of VCFPBs.

Alternate Data Acquisition and Real-time Monitoring System on HT-7 Tokamak

A new system called alternate data acquisition and real-time monitoring system has been developed for long-time discharge in tokamak operation. It can support continuous on-line data acquisition at a high sampling rate and a graphic display of the plasma parameters during the discharge. Thus operators can monitor and control the plasma state in real time. An application of this system has been demonstrated on the HT-7 tokamak.

Design of high-speed signal acquisition system and analysis of signal integrity

The device is used for the test on the fuze detonating time according to the initial velocity of the projectile and the altitude and speed of enemy aircraft flight. For the special requirements of the high-speed signal acquisition in the process, the characteristics of the measured signal are analyzed. The system is investigated in chip selection, signal transmission, signal processing, signal storage, post-production PCB design, etc. The appropriate measures and solutions which affect the integrity and accuracy of the signal in each process are proposed. The rules for the layout of the device and wiring are made. The result show that the measurement values are accurate without loss of data.

Efficiency analysis of numerical integrations for finite element substructure in real-time hybrid simulation

Finite element（FE） is a powerful tool and has been applied by investigators to real-time hybrid simulations（RTHSs）. This study focuses on the computational efficiency, including the computational time and accuracy, of numerical integrations in solving FE numerical substructure in RTHSs. First, sparse matrix storage schemes are adopted to decrease the computational time of FE numerical substructure. In this way, the task execution time（TET） decreases such that the scale of the numerical substructure model increases. Subsequently, several commonly used explicit numerical integration algorithms, including the central difference method（CDM）, the Newmark explicit method, the Chang method and the Gui-λ method, are comprehensively compared to evaluate their computational time in solving FE numerical substructure. CDM is better than the other explicit integration algorithms when the damping matrix is diagonal, while the Gui-λ（λ = 4） method is advantageous when the damping matrix is non-diagonal. Finally, the effect of time delay on the computational accuracy of RTHSs is investigated by simulating structure-foundation systems. Simulation results show that the influences of time delay on the displacement response become obvious with the mass ratio increasing, and delay compensation methods may reduce the relative error of the displacement peak value to less than 5% even under the large time-step and large time delay.

Design and development of real-time query platform for big data based on hadoop

This paper designs and develops a framework on a distributed computing platform for massive multi-source spatial data using a column-oriented database(HBase).This platform consists of four layers including ETL(extraction transformation loading) tier,data processing tier,data storage tier and data display tier,achieving long-term store,real-time analysis and inquiry for massive data.Finally,a real dataset cluster is simulated,which are made up of 39 nodes including 2 master nodes and 37 data nodes,and performing function tests of data importing module and real-time query module,and performance tests of HDFS's I/O,the MapReduce cluster,batch-loading and real-time query of massive data.The test results indicate that this platform achieves high performance in terms of response time and linear scalability.

Average Current Control with Internal Model Control and Real-time Frequency Decoupling for Hybrid Energy Storage Systems in Microgrids

Among hybrid energy storage systems(HESSs),battery-ultracapacitor systems in active topology use DC/DC power converters for their operations.HESSs are part of the solutions designed to improve the operation of power systems in different applications.In the residential microgrid applications,a multilevel control system is required to manage the available energy and interactions among the microgrid components.For this purpose,a rule-based power management system is designed,whose operation is validated in the simulation,and the performances of different controllers are compared to select the best strategy for the DC/DC converters.The average current control with internal model control and real-time frequency decoupling is proposed as the most suitable controller according to the contemplated performance parameters,allowing voltage regulation values close to 1%.The results are validated using real-time hardware-in-the-loop(HIL).These systems can be easily adjusted for other applications such as electric vehicles.

Development and Application of Real-time Bridge Scour Monitoring System

Because of the complex nature of the changes in the current and movement of the riverbeds by bridge scouring, it is impossible to understand or predict these changes. In order to have a reliable data, it is critical to have the current methods and equipment for measuring bridge scouring replaced with technology that could acquire real-time bridge scouring data. Despite the critical need for real-time data acquisition, the harsh environmental conditions have prevented the scientific community from acquiring real-time data. Harsh environmental conditions were addressed by the developmental of an automated, remote data collection system, allowing real-time data such as scour movement, scour depth, and scour trend to be viewed in a safe location. As a result, accurate sea-floor movements were seen for the first time, aiding the direction and future of bridge scour research, ultimately contributing greatly to the safety of bridges.

先进的自动驾驶数据采集与存储技术研究综述

针对自动驾驶数据采集过程中的触发控制与存储记录问题,从先进的自动驾驶数据采集与存储技术出发,首先调研了国内外部分整车制造商车辆的传感器配置方案,然后对汽车事件数据记录(EDR)系统、自动驾驶数据记录系统(DSSAD)以及一般L3级自动驾驶汽车的数据采集与存储方案展开综述,得出了现有数据采集与存储技术将会产生低质量、高噪声的冗余数据的结论,最后基于特斯拉影子模式介绍了一种人机共驾模式下的驾驶数据采集存储方式,总结归纳出目前先进的自动驾驶数据采集技术研究的发展趋势。

数字示波器中FPGA间高速信号传输同步方法

数据采集系统是数字示波器(DSO)的核心组成单元,随着示波器带宽采样率的逐步提升,单片模数转换器(ADC)+现场可编辑门控阵列(FPGA)的架构难以满足超高速以及多通道的应用场景,因此,高端示波器中数据采集系统普遍采用“主从”FPGA控制架构。在该架构下,多个FPGA之间信号的同步传输是实现采集系统的同步和精确采集的重要前提。针对多FPGA板卡之间的信号同步传输问题,提出了一种FPGA之间高速信号同步传输的方法,借助FPGA的IODELAY单元,通过测试数据训练找到最稳定的同步传输区间,实现多FPGA之间的同步传输。在自研的数字示波器上的实验表明,该方法能够有效实现FPGA之间高速信号的同步传输。

低功耗矢量水声信号采集处理系统设计与实现

为进一步降低矢量水听器信号采集处理系统对水下滑翔机平台的续航影响,设计了一种以ARM和DSP为核心控制器的低功耗信号采集处理系统。利用ARM控制器实现系统的多种工作模式,以达到不同状态下的最佳功耗控制。此外,在控制软件中加入必要的优先级设计和流水线设计,以提高系统硬件控制效率,最后利用功率测试仪对系统不同工作模式进行测试。结果表明,低功耗模式下平均功耗约为1.27 W,实时处理模式下平均功耗约为4.29 W。在长时间连续工作情况下,可大幅度降低实时处理模式的工作时间占比,功耗控制效果显著,有效证明了该方案的有效性和优越性。

基于ZYNQ-7000的超声波信号采集系统设计

针对无损检测领域对采集设备低功耗、小型化的要求,在分析现有采集设备的劣势后,基于zynq-7000设计了一个八通道的超声波信号采集系统。在设计中,系统以zynq7020主控系统为核心,FPGA部分负责AD驱动开发;ARM部分主要负责数据的传输以及对整个系统的控制。系统采用采样频率为2 MHz的ADS7946芯片进行模数转换,结合AXI-Stream协议以及千兆以太网接口,实现了采集系统与PC上位机的交互,并且通过对超声波信号现场采集对比实验,证明了该系统实现了对超声波信号的采集、传输、存储以及可视化。

基于对象模型的煤矿数据采集融合共享系统

针对目前煤矿数据采集、融合与共享存在的设备属性缺乏标准化且语义不统一、数据采集规约无法跨操作系统、数据访问实时性差、数据共享效率低等问题,设计了一种基于对象模型的煤矿数据采集融合共享系统。在基于位号的煤矿数据编码标准的基础上设计设备对象模型,克服了设备属性缺少标准化和设备属性语义不统一的问题;采用工业规约采集、Restful API问答式采集和文件数据采集等数据接入方式,可支持国产化操作系统,提供了方便的报文监视工具,能够准确判断通信异常原因;通过设备对象模型映射实现数据融合,引入数据治理机制确保数据的准确性和一致性,以对象模型的形式存储数据来节省存储空间、提高存储效率;将所有设备对象数据存储到一张表中,对象化的数据共享接口可简化成实时数据共享接口和历史数据共享接口,减少了冗余接口,从而降低了数据访问次数。应用结果表明,该系统在对设备数据标准化后降低了数据使用过程中语义解析的难度,同时提高了数据的计算、存储和访问性能,为大数据分析提供了保障。

战术互联网数据采集与干扰效能评估系统设计

战术互联网作为陆战场上各作战单元要素之间的传输媒质,已成为陆战场的“神经系统”,通过战术互联网可实现战场信息共享和无缝连接。因此,针对战术互联网的重要作用必须加速发展针对其的对抗装备,实现信息化条件下的战场优势,为满足通信对抗装备作战效能评估和训练演练需求,提出了一种面向战术互联网的数据采集与干扰效果评估系统设计方案,能够对战术互联网对抗试验训练全过程实施监控分析、数据采集存贮、干扰效果评估等功能。该系统能够为通信对抗装备战技指标验证或战术互联网主要设备抗干扰训练提供有效支撑。

复杂电磁环境采集回放系统设计分析

针对电子对抗设备复杂电磁环境效应构建难题,提出一种宽带数字射频存储来实现高重复性和保真度的复杂电磁环境采集回放系统。设计紧贴用频设备测试需求,给出系统方案、硬件模块设计和软件架构组成,最后展示信号采集记录与回放离线分析2种模式下的测试效果。该系统可以用来提供背景信号、干扰信号或特定信号,为被测设备的性能评估提供数据支撑,为电子对抗、复杂电磁环境构建提供决策依据。

水电站入侵监控视频数据扩容存储系统设计

设计水电站入侵监控视频数据扩容存储系统,有效提升水电站入侵监控视频数据存储容量,为水电站安全保障工作提供可靠依据。视频数据采集层使用基于FPGA的视频采集技术采集水电站入侵监控视频数据,经有效预处理后,由网络通信层发送给扩容存储层,扩容存储层接收到由网络通信层发送过来的水电站入侵监控视频数据后,采用合理的数据处理技术删除重复的水电站入侵监控视频数据,并利用视频数据容错算法结合数据扩容存储约束,合理控制水电站入侵监控视频数据弹性,实现水电站入侵监控视频数据扩容存储。实验结果表明,该系统可较好采集、传输与存储水电站入侵监控视频数据,有效提升系统存储容量,入侵监控视频数据存储的安全性以及稳定性均较高。

基于Kepware的设备实时数据采集存储应用管理系统研究

随着工业自动化的快速发展,设备实时数据采集和存储成为企业生产管理中重要环节。文中针对这一需求,以Kepware为基础平台,研究开发了一套设备实时数据采集存储应用管理系统。该系统通过与设备连接并采集实时数据,将数据存储至数据库,并提供可视化界面与用户交互,提升了企业的生产数据管理和分析能力。

用电信息采集系统数据库的云存储设计

在社会经济不断发展的背景下,云存储技术因其可扩展性、灵活性、可靠性以及低成本等特征受到电力企业的广泛关注,将其应用在实际的用电信息采集系统中,不仅能提升数据的安全性,还有助于提高数据处理能力,对提升电力企业的运营效率具有重要价值。文章以用电信息采集系统与云存储技术概述为切入点,深入分析用电信息采集系统数据库的云存储设计思路,并提出用电信息采集系统数据库的云存储设计要点,希望对相关企业开展工作有所参考。