基于BIM与IFC的混凝土坝施工仿真建模方法

针对混凝土工程仿真所建的模型较少涉及模型数据信息的交换及共享问题,提出在建筑业国际工业标准（IFC）的基础上构建基于建筑信息模型（BIM）的混凝土坝施工仿真信息模型的方法,有利于整合混凝土坝施工涉及的多方面信息,使仿真模型反映的信息更全面,并引入IFC标准进行模型信息的扩展和表述,更有利于对模型信息进行高效组织、共享和管理。     

基于变电站数字化移交成果的全景信息监视平台

为解决目前变电站监测系统之间数据的统一性和共享性问题,研究设计并研发了基于IFC的数字化变电站全景监视平台。从设计目标、信息模型建立、IFC类别扩展和数据库架构等方面对全景监视平台进行了全面的阐述,验证了其技术可行性,为数字化变电站的智能化统一化管理提供了新的解决方案。     

基于区块链的水电设备故障风险动态计算模型

针对水电厂运行和生产过程中存在安全隐患等问题,为了实现水电厂水电设备安全生产的动态监督,文章提出了基于区块链的水电设备故障风险动态计算模型。首先,结合区块链的可信数据交换技术,构建了水电厂水电设备故障风险数据传输、交换与存储的架构体系;其次,采用自适应混沌粒子群算法对径向基神经网络参数进行优化,建立水电设备故障风险数据预测计算模型;再次,使用Jaccard距离对预测结果进行校正,构建计算误差反馈模型,并在此基础上,提出水电厂水电设备故障风险动态计算模型;最后,通过算例仿真验证文章所提水电厂水电设备故障风险动态计算模型的可行性和优越性。     

基于BIM与MVD的混凝土坝施工仿真模型信息处理研究

混凝土坝施工仿真过程中,为实现各专业的协同工作,会出现信息存储冗余及信息交互标准不统一等问题,从而影响模型的互操作性,降低了工作效率。为此,提出了基于建筑信息模型(BIM)与模型视图定义(MVD)的混凝土坝施工仿真模型,将信息交付手册(IDM)中的信息交互需求按IFC数据格式表达出来,以模块化的形式描述各个概念,确保了语义与逻辑的一致性,从而提高了模型信息的可读性。     

数字化设计成果移交过程中自动化优化技术

在输变电工程数字化设计开展的背景下,对基于IFC4标准的三维信息模型及标准化结构数据创建出来的数字化设计模型开展了二次建模研究.论述了数字化设计模型在移交运检部之后,在对数字化设计模型二次建模过程中,通过3DS M ax软件Script脚本来对数字化设计模型中大量有规律的重复性部件进行面数、材质进行优化处理时,所使用的技术手段和实行方案.实施后,可以提升数字化设计模型二次建模的效率,降低二次建模的人力成本,能满足输变电设备智能运维管控及可视化展示的需要.     

基于IFC的输变电工程三维数字化管理平台研究

以面向服务的设计为理念,基于IFC标准和三维地理空间信息平台的集成应用思想和技术方法进行数字化平台架构设计,构建基于B/S网络架构的3DGIS+BIM数字化电力设施信息平台。该平台采用了3DGIS+BIM的尖端的无缝与信息无损集成技术,具有良好的可视化效果、便捷的可操作性和强大的数据管理能力,能够为工程的设计、施工、运维的数字化建设提供坚实的系统平台支撑。通过试点工程应用实践表明,该平台的研究成果为智能电网建设领域提供了新的理论和应用平台,真正实现了3DGIS+BIM的无缝与信息无损集成,以及从全球到局部、从地面到地下、从三维地形到三维建筑、从室外到室内、从静态目标到动态目标、从单项目管理到多项目管理、从单系统应用到多系统综合集成应用,具有广泛的应用价值。     

基于Web Services的风电场网络化监测和控制

为实现风电场中多个厂商不兼容设备的统一维护与管理,IEC61400-25标准详细描述了风电场信息模型、信息交换模型以及向不同协议映射方法。Web Service是该标准中提出的能够完善支持模型功能的方法,其具有适合分布式环境,支持不同平台等十分适合风电场的特点。在IEC61400-25标准的基础上详细描述了一种风电场通信结构,并基于Web Services建立了风电场风机的信息模型和信息交换模型并实现基本的风电场设备的监测和控制。     

IFC为中安信业提供可转换贷款,支持中国的小额信贷业发展

<正>世界银行集团成员—国际金融公司(IFC)与中安信业签约,为其提供250万美元可转换贷款。中安信业是一家总部设在深圳的公司,在中国从事小额信贷业务。中安信业将用此贷款增加对市场上难于获得融资的部门,包括小商户、小企业和小生意等的贷款。     

基于Python数据可视化的水电集控平台主报警信息规则时序匹配与处置模型构建

为实现水电集控平台主报警信息时序匹配和处置,构建了基于Python数据可视化的水电集控平台主报警信息规则时序匹配与处置模型,该模型首先利用通信服务器将水电站设备运行故障信息传输至水电集控平台接收端内后生成故障报警序列;然后依据领域专家匹配规则库内的时序匹配规则匹配水电站故障报警主信息后使用状态函数、状态变化函数等对其进行时序特性分析,利用映射表描述主报警信息时序特性;最后对该主报警信息时序特性展开报警选择、报警处理和处理结果分析后,使用基于Python编程软件对结果进行可视化并发送至调度员控制台内,实现水电集控平台主报警信息规则时序匹配与处置。试验结果表明,该模型具备较好的主报警信息可视化能力,其爬取的主报警信息覆盖率高达98.99%;主报警信息规则时序匹配时的皮尔逊相关系数数值较高,处置主报警信息能力较好。     

基于SQL Server的水电机组运行数据的挖掘模型

基于SQL Server 2005提供的用于创建和使用的数据挖掘模型集成环境,建立了水电机组水轮机振动数据的挖掘模型,以四川省铜街子水电站为例,利用该模型从海量原始运行数据中发掘出有用的特征数据,并与原始数据进行分析比较,获得了水电机组最优运行工况的参数区域.实例结果表明,该方法可大幅提高面对海量数据时的处理效率,简化了数据挖掘操作的复杂性,为水电机组故障诊断系统提供了一种切实可行的方法.     

An integrated reservoir-power system model for evaluating the impacts of wind integration on hydropower resources

Despite the potential for hydroelectric dams to help address challenges related to the variability and unpredictability of wind energy, at present there are few systems-based wind-hydro studies available in the scientific literature. This work represents an attempt to begin filling this gap through the development of a systems-based modeling framework for analysis of wind power integration and its impacts on hydropower resources. The model, which relies entirely on publicly available information, was developed to assess the effects of wind energy on hydroelectric dams in a power system typical of the Southeastern US (i.e., one in which hydropower makes up <10% of total system capacity). However, the model can easily reflect different power mixes; it can also be used to simulate reservoir releases at self-scheduled (profit maximizing) dams or ones operated in coordination with other generators to minimize total system costs. The modeling framework offers flexibility in setting: the level and geographical distribution of installed wind power capacity; reservoir management rules, and static or dynamic fuel prices for power plants. In addition, the model also includes an hourly ‘natural’ flow component designed expressly for the purpose of assessing changes in hourly river flow patterns that may occur as a consequence of wind power integration. Validation of the model shows it can accurately reproduce market price dynamics and dam storage and release patterns under current conditions. We also demonstrate the model's capability in assessing the impact of increased wind market penetration on the volumes of reserves and electricity sold by a hydroelectric dam.     

Framework for the analysis of the low-carbon scenario 2020 to achieve the national carbon Emissions reduction target: Focused on educational facilities

Since the increase in greenhouse gas emissions has increased the global warming potential, an international agreement on carbon emissions reduction target (CERT) has been formulated in Kyoto Protocol (1997). This study aimed to develop a framework for the analysis of the low-carbon scenario 2020 to achieve the national CERT. To verify the feasibility of the proposed framework, educational facilities were used for a case study. This study was conducted in six steps: (i) selection of the target school; (ii) establishment of the reference model for the target school; (iii) energy consumption pattern analysis by target school; (iv) establishment of the energy retrofit model for the target school; (v) economic and environmental assessment through the life cycle cost and life cycle CO₂ analysis; and (vi) establishment of the low-carbon scenario in 2020 to achieve the national CERT. This study can help facility managers or policymakers establish the optimal retrofit strategy within the limited budget from a short-term perspective and the low-carbon scenario 2020 to achieve the national CERT from the long-term perspective. The proposed framework could be also applied to any other building type or country in the global environment.     

Predictive maintenance in intelligent-control-maintenance-management system for hydroelectric generating unit

The predictive maintenance within the framework of intelligent-control-maintenance-management system (ICMMS) makes full use of all the information of control, maintenance, and technical management aspects to make right maintenance at the right time in the right place. In this paper, the three key elements of the predictive maintenance within the framework of ICMMS are presented. The ICMMS platform for hydroelectric generating unit, especially its maintenance function, is introduced. An artificial-neural-network (ANN)-based identification and diagnosis model is set up to implement the predictive maintenance of the electrohydraulic servomechanism in the hydroelectric generating unit. The tests show that the proposed strategy can guarantee ideal performance.     

Life cycle assessment of hydrogen energy facility by criterion for maximum load frequency

The paper deals with the topical issue of providing the base load for the Nuclear Power Plant (NPP) in the nighttime off-peak load hours. To find a solution to this issue, we analyzed energy storage technologies, such as hydroelectric power stations. Since the construction of this type of station is associated with various risks (technical, environmental, seismic, etc.), their deployment in the immediate vicinity of the Near Nuclear Power Plants is unacceptable. This implies the tariffs for the supply of power from the grid transmission system may exceed the nuclear generating costs by 2 or 3 times, and significantly affect the cost for the produced peak energy and competitive advantages of these stations. As more competitive technology of electric energy storage, the paper reviews the system based on utilizing hydrogen energy facilities with hydrogen and oxygen produced by water electrolysis due to excess power from nuclear power plants in the nighttime. The key advantage of these facilities is location in the vicinity of NPPs with the possibility of charging at the cost of the NPP energy. At the same time, hydrogen and oxygen production and their further utilization in the NPP steam cycle has the recurrent nature and connected with the daily startup and shutdown procedures of the main facilities. Thus, the aim of this research is to determine the life cycle of the main hydrogen energy facility under cyclic loads. The fatigue fracture theory is applied to analyze the performance of startup/shutdown cycles in the main hydrogen energy facility in combination with the NPP. We have conducted the estimation of fatigue crack growth depending on the load frequency for the critical components of electrolysis plants, compressors, metal hydrogen and oxygen storage tanks, as well as hydrogen-oxygen combustion chambers. The paper focuses on the impact of hydrogen corrosion on the rate of fatigue crack growth and proposes criterion defining the number of cycles occurred prior to the fracture extension process. Based on the criterion of maximum cycles prior to the fraction extension process, we have defined the boundaries for effective performance of the main hydrogen energy facility.     

Optimal control of hydroelectric facility incorporating pump storage

We consider a simple model of a pump-assisted hydroelectric facility operating in a market with time-varying but deterministic power prices and constant water inflows. The engineering details of the facility are described by a model containing several parameters. We present an algorithm for optimizing first the energy and then the profit produced by these plants. This algorithm allows us to describe the relationships between control trajectory and time, and between inflow and price. Remarkably, we see that under some reasonable choices of facility parameters and for power prices that are not extremely variable, the optimal profit operation of these facilities is not too different from their optimal energy operation, and the control is less affected by the price as the inflow rate increases.     

一种新的燃气轮机调速系统建模试验方法

本文针对电力系统仿真计算中的燃气轮机调速系统建模工作提出了一种新的参数实测试验方法,该方法已在燃气轮机发电机组上得到成功应用,解决了传统试验方法中电网频率波动的干扰问题,能够得到稳定的燃气轮机调速系统电网频率-机组负荷特性曲线,从而提高了实测参数的准确性和仿真模型的可靠性。     

基于布谷鸟搜索算法优化BP模糊Petri网的水电机组故障诊断

针对水电机组故障诊断的复杂性和传统算法存在的缺点,提出采用布谷鸟搜索算法优化BP模糊Petri网进行故障诊断。首先利用布谷鸟搜索算法的全局搜索功能对网络参数寻优,将得出的全局最优解作为BP模糊Petri网的最优初始参数,再用选取的故障样本数据对模糊Petri网进行学习训练,建立故障特征集到故障类型集的映射关系以实现故障分类。仿真试验表明,该故障诊断方法收敛速度快、准确率高,可应用于实际水电机组故障诊断。     

基于C++/Qt的水电机组噪声采集系统的设计与实现

针对水电机组大部分噪声为低频噪声且噪声的频率范围比较广的特点,采用专业的传声器和采集卡,基于C++语言和Qt框架,提出了一种多线程多通道集中式噪声采集系统,该系统通过封装NI公司采集卡的C API和调用DIAdem Connectivity Library来实现在PC机上的噪声数据采集和存储。实际应用效果表明,该系统不仅能够完整、准确、流畅地采集噪声数据并将数据存入指定的文件,而且具有良好的兼容性和可移植性。     

Hydrological and hydro-energy indicators of the hybrid energy system using solar and pump storage hydroelectric plant

This paper analyses the hybrid solar and pump hydroelectric power plant and its hydrological and hydro-energetic characteristics and indicators. The sustainability of the system is based on stable water and energy budget. The key theoretical relationship for solar-hydro system, between electric powers of solar generator, artificial water resources, and storage is set, including relevant formulas and indicators. Artificial rain, flow, and hydro-energy potential, as indicators of the hybrid power plant, have been derived, as well as hydro-energy production characteristics. The developed and presented hydrological and hydro-energetic indicators are information for hybrid energy system analyses and design. The proposed indicators have been applied on two different climate areas, as paradigms of Continental and Mediterranean climate, using a photovoltaic and a solar thermal generator. The obtained results prove the correctness and usefulness of the proposed indicators for hybrid energy system analysis and development.