A Multi-Objective Optimization for Locating Maintenance Stations and Operator Dispatching of Corrective Maintenance

In this study,we introduce a novel multi-objective optimization model tailored for modern manufacturing,aiming to mitigate the cost impacts of operational disruptions through optimized corrective maintenance.Central to our approach is the strategic placement of maintenance stations and the efficient allocation of personnel,addressing a crucial gap in the integration of maintenance personnel dispatching and station selection.Our model uniquely combines the spatial distribution of machinery with the expertise of operators to achieve a harmonious balance between maintenance efficiency and cost-effectiveness.The core of our methodology is the NSGA Ⅲ+Dispatch,an advanced adaptation of the Non-Dominated Sorting Genetic Algorithm Ⅲ(NSGA-Ⅲ),meticulously designed for the selection of maintenance stations and effective operator dispatching.This method integrates a comprehensive coding process,crossover operator,and mutation operator to efficiently manage multiple objectives.Rigorous empirical testing,including a detailed analysis from a taiwan region electronic equipment manufacturer,validated the effectiveness of our approach across various scenarios of machine failure frequencies and operator configurations.The findings reveal that the proposed model significantly outperforms current practices by reducing response times by up to 23%in low-frequency and 28.23%in high-frequency machine failure scenarios,leading to notable improvements in efficiency and cost reduction.Additionally,it demonstrates significant improvements in oper-ational efficiency,particularly in selective high-frequency failure contexts,while ensuring substantial manpower cost savings without compromising on operational effectiveness.This research significantly advances maintenance strategies in production environments,providing the manufacturing industry with practical,optimized solutions for diverse machine malfunction situations.Furthermore,the methodologies and principles developed in this study have potential applications in various other sectors,including healthcare,transportation,and energy,where maintenance efficiency and resource optimization are equally critical.

Establishment and evaluation of operation function model for cascade hydropower station

Toward solving the actual operation problems of cascade hydropower stations under hydrologic uncertainty, this paper presents the process of extraction of statistical characteristics from long-term optimal cascade operation, and proposes a monthly operation function algorithm for the actual operation of cascade hydropower stations through the identification, processing, and screening of available information during long-term optimal operation. Applying the operation function to the cascade hydropower stations on the Jinshajiang-Yangtze River system, the modeled long-term electric generation is shown to have high precision and provide benefits. Through comparison with optimal operation, the simulation results show that the operation function proposed retains the characteristics of optimal operation. Also, the inadequacies and attribution of the algorithm are discussed based on case study, providing decision support and reference information for research on large-scale cascade operation work.

Chaotic Optimal Operation of Hydropower Station with Ecology Consideration

Traditional optimal operation of hydropower station usually has two problems. One is that the optimal algorithm hasn’t high efficiency, and the other is that the optimal operation model pays little attention to ecology. And with the development of electric power market, the generated benefit is concerned instead of generated energy. Based on the analysis of time-varying electricity price policy, an optimal operation model of hydropower station reservoir with ecology consideration is established. The model takes the maximum annual power generation benefit, the maximum output of the minimal output stage in the year and the minimum shortage of eco-environment demand as the objectives, and reservoir water quantity balance, reservoir storage capacity, reservoir discharge flow and hydropower station output and nonnegative variable as the constraints. To solve the optimal model, a chaotic optimization genetic algorithm which combines the ergodicity of chaos and the inversion property of genetic algorithm is exploited. An example is given, which shows that the proposed model and algorithm are scientific and feasible to deal with the optimal operation of hydropower station.

Optimal Operation of Multi-Objective Hydropower Reservoir with Ecology Consideration

Aiming at the problem that traditional optimal operation of hydropower reservoir pays little attention to ecology, an optimal operation model of multi-objective hydropower reservoir with ecology consideration is established which combines the ecology and power generation. The model takes the maximum annual power generation benefit, the maximum output of the minimal output stage in the year and the minimum shortage of ecological water demand as objectives, and water quantity balance of reservoir, reservoir storage, discharge flow, output and so on as constraints. Chaotic genetic arithmetic is developed to solve the optimal model. An example is studied, showing that the annual generation of the proposed model is 8 million kW?h less than that model without ecology consideration, which is about 0.28 percent. But the proposed model is in favor of river ecology protection, and can promote the sustainable utilization of water resources. So it is worthy and necessary for the optimal operation of hydropower reservoir with ecology consideration.

Operation Analysis on T&D Equipment in Three Gorges LeftBank Hydropower Station

The paper outlines the Yangtze Three Gorges water conservancy complex. It describes the power transmission and distribution equipment in the Three Gorges LeftBank Hydropower Station, especially large high-voltage distribution devices. It elaborates the measures for suppressing GIS over-voltage and the tests on VFTO, besides technical measures to ensure safety and stability of power system in the station. It also makes some analyses and summaries about the problems encountered in operation of the equipment.

Effects of Mountain Rivers Cascade Hydropower Stations on Water Ecosystems

China is rich in hydropower resources,and mountain rivers have abundant water resources and huge development potential,which have a profound impact on the pattern of water resources allocation in China.As the main way of water resources and hydropower development,the construction of cascade hydropower stations,while meeting the requirements of water resources utilization for social development,has also brought adverse effects on river ecosystems.Therefore,the impact of the construction of cascade hydropower stations on mountainous river ecosystems,where the minimum ecological flow of rivers must be ensured and reviewed.In addition,this paper proposed the deficiencies and outlooks for cascade hydropower stations based on previous research results.

基于DEMATEL-ISM方法的水电站机组检修作业安全事故致因链分析

针对水电站机组检修作业种类和危险因素多、安全事故频发等问题,通过文献挖掘与专家访谈方式,对水电站机组检修作业安全影响因素类别进行了划分。基于DEMATEL-ISM方法,构建了安全事故致因多层次递阶ISM模型来确定事故致因因素层级,通过剖析事故致因因素的中心度和权重,挖掘关键致因因素和推求事故致因链的路径权重,厘定关键致因链。采用该模型对某水电站致因链进行了分析,结果表明,安全检查不到位为关键致因因素,“安全检查不到位→违规作业→设备的问题→粉尘、油漆等有害物质”为关键致因链。

基于最优流量分配的水电站短期精细化调度研究

在水电站发电调度研究中,因“以水定电”和“以电定水”两种模式应用场景不同,通常独立使用短期调度模型或实时调度模型,这会导致调度过程中各时段出力的求解有所偏差,难以保证短期调度与实时调度出力计算的一致性和最优性。因此,通过构建最优流量分配模型,将短期调度模型和时段内机组最优流量分配模型进行耦合,可得到短期调度模型中各计算时段内的理论最优出力,实现电站与机组在短期及实时调度层面的无缝衔接。以阿尔塔什电站的发电调度为例,通过计算发现所建短期精细化调度模型的调度期发电量提高了近9%,相较于传统优化调度方式额外提高了5.5%,极大地提高了水电站的经济效益。

无线发射台站智慧运维支撑管理系统审计日志模块的设计与实现

阐述应用于广播电视无线发射台站智慧运维支撑管理系统审计日志模块的总体设计思路和实现要点。该模块通过对系统操作和事件进行全面收集、存储、分析和告警通知,旨在提高广播电视的安全播出和网络安全水平。

电力调度自动化主站系统运行维护存在问题的若干思考分析

近年来,我国电网发展迅猛,这使得各地区的电网运行与管理需求产生了较大的变动,想要使电力系统正常稳定运行,就必然离不开对电力调度自动化系统的有效应用。该系统不仅可以为电力工作人员提供系统运行信息,而且还能够提供分析决策的工具和控制手段。本文将从电力调度自动化主站系统概述出发,对当前电力调度自动化主站系统运行维护存在的问题进行详细分析,然后在此基础上深入探讨该系统运行维护的优化措施,以供参考。

两种河床式水电站调度曲线的分析与研究

为了分析低水头、日调节或径流式水电站的出力情况,研究适用于水电站的发电调度运行方式曲线,笔者研究分析折线形和山峰形两种出力限制曲线,对两种曲线合理性进行分析和验证,并提出应用建议。结果表明,两种曲线均可以大幅提高水电站及电网调度对短期(日内)预想出力的预测精度。两种曲线均可适用于低水头、径流式水电站在不同水头条件的调度需求,有一定借鉴意义。

考虑混蓄与纯蓄配置方式的水风光蓄互补系统调度运行对比研究

流域梯级水风光综合能源基地配建抽水蓄能构建水风光蓄互补系统,是提高风光消纳能力、加速可再生能源一体化开发的重要途径。水风光蓄互补系统因地制宜既可配置混合式抽水蓄能,又可配置传统常规抽水蓄能。针对何种配置方式更优问题,从调度运行需求出发进行了研究。首先量化分析了水风光资源的季节互补性和日内互补性。然后分别考虑配置混蓄与纯蓄,基于精细化流域梯级水电模型,以负荷跟踪偏差率最小、弃能最小、水量利用率最大为目标构建了水风光蓄互补系统短期优化调度模型,从调度运行角度探究不同抽蓄形式对水风光蓄互补系统的影响。最后,通过某流域梯级水风光一体化基地算例表明,配置混蓄相较于配置纯蓄,不同运行场景下负荷跟踪偏差率均更小、弃能均降低、水量利用率均提高,综合运行效率也得到提升,表明配置混蓄对水风光蓄互补系统调度运行的提升优于纯蓄。研究可为流域清洁能源基地、抽水蓄能规划建设及调度运行提供决策支持。

智能识别与空间定位技术在高速铁路车站的应用研究

针对目前高速铁路车站建筑结构复杂程度上升与智能化管理需求日益增进的情况,提出使用智能识别、空间定位技术和BIM运维技术相结合,应用到高速铁路车站运维管理信息化系统中,以辅助日常运维的应用方案。通过对比不同的图像识别模型和空间定位方法,并参考实际铁路运维场景中的监控相机覆盖范围,提出并验证了一种新的应用图像识别技术的空间定位方法来获取特定设备空间位置,用来提高运维管理数据获取的效率和质量。设计了一套完整的技术路线,包括设备特征采集、特征点选取、摄像头标定、空间坐标转换等关键环节,将检测方法和定位算法集成,得到特定设备设施定位的方法。最后对这套空间定位方法进行了总结和展望,讨论了机器视觉技术在铁路运维领域的多个应用场景。

适用于光储氢集站的运维管理系统架构设计与研究

由于电池储能和电解水制氢在可再生能源消纳上具有促进作用,因此含有光伏、储能、电制氢装置等环节的光储氢集站正成为一类新兴的可再生能源开发形式。为此,研究了一套适用于光储氢集站的运维管理系统,实现对集站的发电量、并网功率、制氢功率、光伏功率、储能充放电等关键指标的实时监视,便于运维人员快速掌握全站运行情况。

基于VR技术的水电站运维仿真系统设计

水电站运维需要技术人员具有较高的熟练度,在运维仿真系统上进行运维操作训练,而操作的真实性影响实际运维效果,因此基于VR技术设计水电站运维仿真系统。分析水电站的层次结构,在此基础上采用VR技术建立水电站的虚拟环境,提高运维仿真操作的真实性;设计漫游控制模型,支持用户在水电站虚拟环境中的场景交互。利用Unity 3D引擎开发虚拟水电站功能,设计人机交互平台、共享内存区及程序通信、简报系统。实验结果表明,所设计系统建模效率和精度较高,可准确地完成水电站中设备运行状态的监测。

风光电站数字化精益运维管理

从先进技术架构实现海量数据处理,电站数据全量监控实现场站无人值班,多维度报表提高生产管理效率,生产绩效精细化管理提升发电量可利用率等方面介绍了风光电站数字化精益运维管理。风光电站数字化精益运维管理能够对新能源电站进行远方集中监视与控制,实现无人值班、少人值守、区域检修的科学管理模式,降低运行维护成本,提升新能源电站综合管理水平。

金沙江上游水光互补中长期协调运行方法研究

充分发挥流域梯级水电站的灵活调节能力,实现水光互补系统的协同运行,是提升可再生能源消纳水平的重要途径。以金沙江上游川藏段正在开展前期规划工作的梯级水电站及沿江光伏电站为研究对象,建立了水光互补系统发电量最大化的中长期协调运行优化模型,同时计及梯级水电站、光伏电站和外送直流输电线路的运行约束,以评估水光互补系统的外送消纳水平。在算例分析中,测算了不同梯级水电站规划装机下的光伏电站最大装机和典型日外送发电曲线,并从丰-平-枯水平年、直流日最大调节幅度和是否配置抽水蓄能电站等方面进行模型验证和灵敏度分析,结果表明,金沙江上游川藏段水光出力具有季节资源互补性和日内电源互补性,提升梯级水电站或直流输电线路的调节能力、配置抽水蓄能电站均可以使光伏最大可接纳装机进一步增长。

无线发射台站智慧台站建设及应用

以无线发射台站智慧台站建设及应用为研究重点,全面介绍无线发射台站的相关概念,重点分析智慧台站组成及架构,深入探讨智慧台站的关键技术与应用场景,针对应用案例进行全面分析,为无线发射台站智慧台站建设提供参考。

基于ECharts的地震中心站运维指标可视化平台研究

目前湖北省地震站网运维通报是以文本以及数据表格形式呈现,运维指标种类不仅繁多而且按照地震中心站、业务属性和学科分类散落在文本的各个章节,不同月份的业务指标也在不同的文件中,评价结果不直观。为提高管理人员和运维人员工作效率,提高各指标的可读性和指导作用,利用ECharts数据可视化图表库实现地震中心站运维指标多角度、多维度的可视化。

大数据背景下广播电台发射设备的运维策略研究

随着技术的快速发展,大数据在广播电台发射设备的运维管理中扮演着越来越重要的角色。系统分析广播发射系统的现状和传统运维模式的局限性,深入探讨大数据技术的定义、特征及其在运维管理中的应用。详细阐述基于大数据的智能化运维策略,包括智能巡检计划的制定与执行、设备健康度预测及预测性维护。通过分析大数据技术在广播电台发射设备运维中所面临的挑战,提出相应的解决对策,并展望其应用前景。基于结合大数据技术的运维新模式,可提高广播电台发射设备的运维效率和准确性,确保广播服务的连续性和稳定性。