基于时间序列的分布式光伏电站发电数据采集方法

由于当前方法对发电数据进行采集时,没有对发电数据的缺失值进行修复,存在缺失数据修复前数据采集精度差、与实际采集数据相差多的问题。该文提出一种基于时间序列的分布式光伏电站发电数据采集方法。根据光伏电站受到的不同影响,构建了负荷异常值类型的时间序列模型,利用该模型对异常数据负荷点进行剔除,由于剔除后的数据存在缺失值,因此对其进行修复;根据修复结果,采用BP神经网络对发电数据进行采集。实验结果表明,通过对该方法进行缺失数据修复前后对比测试、不同方法与实际指标数据采集测试,验证了该方法的有效性强、实用性高。

在VB中应用ADO开发电厂金属材料数据库管理系统

阐述了在VB中应用ActiveX数据对象(ADO)开发“电厂金属材料数据库管理系统”的关键技术和方法,并分析了该数据库管理系统的总体设计结构。

浅谈智慧发电大数据分类、分级研究

近几年,国家接连出台了《促进大数据发展行动纲要》《大数据产业发展规划(2016-2020年)》《能源发展“十三五”规划》等一系列文件,明确提出了推动包括能源行业在内的大数据应用。本文主要介绍发电大数据的分类、分级,在此基础上可以进一步进行发电大数据需求与价值分析的研究,通过全面掌握发电全量数据和针对不同服务对象的关键数据,为相关企业提供各种延伸增值服务。

太阳电池户外方阵PC机数据采集与分析系统

建立了PC机太阳电池户外发电方阵数据采集与CAT系统,它能自动测试V_(oc)、I_(sc)、P_m、V_m、I_m、R_(opt)、FF和EFF等参数,并可记录光强和温度,把数据转换成标准条件下的值,显示和打印全部结果及V—I曲线。本文报道了该系统的设计、硬件、软件和系统的特点,并给出了系统的框图和主程序流程图。

大型数据库下的水库水轮发电机控制系统设计

针对水库水轮发电机控制系统存在控制稳定性差、控制效果差和能耗高的问题,提出大型数据库下的水库水轮发电机控制系统设计方法,通过现地控制单元层和主控层设计水库水轮发电机控制系统的硬件结构,并将采集的数据记录存储起来,构建大型数据库。采用C语言编写水库水轮发电机控制软件,并在大型数据库的基础上建立了水轮机的数学控制模型,以此为依据,采用PID控制算法实现水库水轮发电机的控制,完成水库水轮发电机控制系统的设计。实验结果表明,所提方法的控制稳定性高、控制效果好且系统能耗低,可为保证水库水轮发电机的稳定、高效运行提供参考。

基于时空特征深度融合的双馈式风力发电机故障早期预测

风力发电机组监控与数据采集(SCADA)系统记录了机组运行参数,包含丰富的运行状态变化信息,为风力发电机组的健康状态识别提供了数据来源。提出一种基于自注意力机制级联的时空特征深度融合网络模型(SC-TSFN),模型采用空洞卷积层增大感受野,提取不同变量之间的空间特征,通过双向长短期记忆网络学习空间特征前后时间依赖性,自注意力机制突出关键变量空间特征权重以及动态调节局部与全局时间特征信息。对2.0 MW风电机组10 min间隔SCADA数据分析结果表明,该方法实现了风力发电机故障的早期预测并消除了误报。

中国香港地区村屋太阳能发电系统建设

介绍了香港地区村屋太阳能发电系统的架构,从设计、施工及检测等方面分析了新界村屋太阳能发电系统工程,阐述了香港地区村屋太阳能发电工程投资回报,表明由于香港政府对可再生能源的政策扶持,村屋小型太阳能发电系统投资回报率高。

面向工业领域的KDD技术及其应用前景

目前在工业现场中能很容易地获取大量的过程参数数据,而传统方法处理这些数据既费时又费力,在这些大量的未分析或待分析的数据中很有可能隐藏着有用的信息。KDD(数据库中的知识发现)旨在大量数据中发现有价值的信息。本文针对工业领域中数据信息的特点,介绍了KDD技术在工业领域的应用关键,并结合火力发电厂阐述了KDD在工业领域中的应用前景。

采用DTMF方式通信的电度表管理系统

介绍一种采用DTMF(Dual ToneMultifreqency)信号方式通信的电度表管理系统。给出了控制分机及用户电表数字化接口的电路构成 ,重点分析了DTMF数据收发电路的工作原理及通信软件的设计方法。

Effects of Uncertainties in the Position and Orientation of Both the Transmitter and Receivers on Marine Controlled-Source Electromagnetic Data

Simulation and interpretation of marine controlled-source electromagnetic(CSEM) data often approximate the transmitter source as an ideal horizontal electric dipole(HED) and assume that the receivers are located on a flat seabed.Actually,however,the transmitter dipole source will be rotated,tilted and deviated from the survey profile due to ocean currents.And free-fall receivers may be also rotated to some arbitrary horizontal orientation and located on sloping seafloor.In this paper,we investigate the effects of uncertainties in the transmitter tilt,transmitter rotation and transmitter deviation from the survey profile as well as in the receiver's location and orientation on marine CSEM data.The model study shows that the uncertainties of all position and orientation parameters of both the transmitter and receivers can propagate into observed data uncertainties,but to a different extent.In interpreting marine data,field data uncertainties caused by the position and orientation uncertainties of both the transmitter and receivers need to be taken into account.

Wind Energy Potential Assessment in Republic of Macedonia

The paper presents the measurement campaign of wind energy potential undertaken in Republic of Macedonia on four sites from the middle of 2006. The wind data analysis has been performed for one site, following with the assessment of energy production of simulated wind park with six wind turbine generators.

Characteristics for wind energy and wind turbines by considering vertical wind shear

The probability distributions of wind speeds and the availability of wind turbines were investigated by considering the vertical wind shear. Based on the wind speed data at the standard height observed at a wind farm, the power-law process was used to simulate the wind speeds at a hub height of 60 m. The Weibull and Rayleigh distributions were chosen to express the wind speeds at two different heights. The parameters in the model were estimated via the least square(LS) method and the maximum likelihood estimation(MLE) method, respectively. An adjusted MLE approach was also presented for parameter estimation. The main indices of wind energy characteristics were calculated based on observational wind speed data. A case study based on the data of Hexi area, Gansu Province of China was given. The results show that MLE method generally outperforms LS method for parameter estimation, and Weibull distribution is more appropriate to describe the wind speed at the hub height.

Design Features and Performance Data of a New 400 kW Biomass Gasification Power Plant of Downdraft Type

A new biomass-gasification power plant, of medium-size downdraft type, is presented and discussed in its design features and performance characteristics. Its configuration and overall dimensions, initially conceived for 800 kW, were recently re-tuned, from a functional point of view and on the base of a parallel theoretical analysis, by decreasing to about 400 kW the former nominal power level. This provision, jointly with the basic design choice of adopting a long and amply dimensioned inlet-biomass thermal pretreatment section, turned out quite effective in achieving high gasification temperatures and a low-tar content in the produced gas at fuel-to-air ratios well below the usually imposed ones, to the advantage of the heat value of the product-gas. The paper discusses the numerical analysis results which helped to properly re-adjust the operational parameters of the gasifier and then presents the experimental performance data of the overall power plant including biomass consumption, gasification temperatures, gas production, composition and pollutants content, cold-gas conversion efficiency and global electric efficiency. Special care is devoted to investigating the issue of a significant production of carbon-containing particulate matter in the product gas, which turns out made up of char and fixed carbon much more than of tar species.

Gigawatt Scale Storage for Gigawatt Scale Renewables

Multi-GW renewables need multi-GW storage, or fossil fuelled power stations will be needed to balance for intermittency. For the same reason, such balancing must be able to last for an entire evening peak if renewables are not generating at the same time. Batteries and DSR （demand side response） make very useful contributions and there is a large market for both, but without large scale and long duration storage, they cannot do the job. Interconnectors also contribute to the solution, and storage will make them more profitable, but （taking a UK perspective） Ofgem identified that all our neighbours have similar generation capacity crunches and similar demand patters, so if we need the electricity when they do, we’ll have to pay through the nose for it. Last winter’s ￡ 1,500/MWh prices proved that―even with only 4 GW interconnection. Following exit from the single market, our neighbours will be able to say “our consumers are more important than yours at any price”. We need UK-based storage at the right scale, to store UK-generated electricity for UK use and for export―otherwise we lose security of supply. CAES （compressed air energy storage） and pumped hydro are the only technologies currently able to deliver this scale and duration of storage. Pumped hydro is cost-effective in the long term but there are few sites, and it is （location dependent） over 3x the cost of CAES. Storelectric has 2 versions of CAES： one is a comparable price to existing CAES, but much more efficient （~70% v 50%） and zero emissions （existing CAES emits 50%-60% of the gas of an equivalent sized power station）. The other is retro-fittable to suitable gas power stations, is more efficient （-60% v 50%）, almost halves their emissions, adds storage-related revenue streams and is much cheaper. Both are new configurations of existing and well proven technologies, supported by engineering majors.

Economic-Technical Feasibility Study of the ＂Sierra de Tineo＂ Wind Farm Expansion. Tineo-Principality of Asturias （Spain）

The aim of this work is double. Firstly, we want to stress out that investing in renewable energies in 2009 in Spain was a profitable activity. This question will be answered studying the possibilities of expanding ＂Sierra de Tineo＂ wind farm in the Principality of Asturias （location, wind resource, data analysis, simulation, legal standards and economic and sensitivity study of the investment）, and for that, data from the year 2009 have been used. And secondly, the goal is to set the bases for a future paper where the current situation of Spain （within the renewable framework）, will be compared with the 2009 scenario.

Research and Application of Probability Distribution of Wind Power Fluctuation Characteristics

The fluctuation characteristics is the inherent property of wind power.Through analysis of a large number of wind t＇anns based on measured data,we find it describes the best probability distribution of wind power fluctuation for the mixed Gauss distribution of two components,and try to carry out the physical interpretation of two components.Further discussion is between the probability distribution of fluctuating wind power time difference and whole relationship.It is found that the two have basic similarity.Through comparing the different time level data quantified losses the information of wind power fluctuation,quantitative determination of the degree of impact prediction.We can summarize and understand of wind power fluctuation,constructing instance from the wind farm construction and monitoring prediction two aspect recommendations to overcome the adverse effects of wind power fluctuations on the power grid operation.

An Automatic Dust Removal Device Based on SCM for Solar Panels

This paper introduces a set of automatic dust removal device for street lamp solar panels. The device realizes the automatic dust removal for street lamp solar panels by three steps consisting of data acquisition, automatic control and mechanical dust removal. Our scheme is as follows, according to the comparison between the actual power generation and the relatively ideal condition of power generation of solar panels, we selectively conduct dust removal operation to panels. The paper demonstrates the feasibiliW of the technology based on the example of street lamp solar panels （40w）. According to the calculation, the solar panels equipped with our device will greatly improve the power generation efficiency of solar panels, which means there will be 32 more degrees generated every year. Extension and application of the technique device will be beneficial for the improvement of solar panels power generation efficiency and the extension of the service life of the panels.

Financial Appraisal of a Small Scale Wind Turbine with a Case Study in Ireland

This research seeks to evaluate the economic benefits to be gained by installing a small-scale wind turbine for a customer with a three-phase electrical supply requirement. The evidence for the claims made in this paper is obtained by using actual data obtained from the installed equipment over a three year period. The objective is to accurately appraise the financial investment using real data. There appears to be limited studies conducted into this type of research, possibly because the renewable energy sector is in the infancy stage in the host country, Ireland. There are some wind energy installations with financial appraisal techniques based on modeled data, which may, or may not, be accurate. The study concludes by claiming that the financial benefits of the wind energy turbine installation had disappointing results when compared to predicted benefits based on modeled data.

Developing a Data Modelling Tool to Visualize the Transformation of an ER Diagram into a Relational Schema

In this paper, the authors present the development of a data modelling tool that visualizes the transformation process of an ＂Entity-Relationship＂ Diagram （ERD） into a relational database schema. The authors＇ focus is the design of a tool for educational purposes and its implementation on e-learning database course. The tool presents two stages of database design. The first stage is to draw ERD graphically and validate it. The drawing is done by a learner. Then at second stage, the system enables automatically transformation of ERD to relational database schema by using common rules. Thus, the learner could understand more easily how to apply the theoretical material. A detailed description of system functionalities and algorithm for the conversion are proposed. Finally, a user interface and usage aspects are exposed.

Wind-power estimating model based on the experimental data in laboratory

Wind-power （WP） estimation is necessary for power system in several operations, which are as the optimal power flow between conventional units and wind farms, generators scheduling, and electricity market bidding. Estimating the output power of a wind energy conversion unit （WEC） mainly bases on the incident wind speed at the unit site by using the power characteristic curve. In addition, several time-series models have been using in wind speed forecasting. These models are characterized with requiring a large set of data. In order to prevent from the wind speed measurement and the need of a precise wind turbine model, an novel method basing on neural network and the grey predictor model GM （1,1） is proposed. Though the method, the estimating model can be built only by using the experimental data, which are obtained from the WP system in laboratory. The effectiveness of the estimating model is confirmed by the simulation results.