Intelligent Fractional-Order Controller for SMES Systems in Renewable Energy-Based Microgrid

An autonomous microgrid that runs on renewable energy sources is presented in this article.It has a supercon-ducting magnetic energy storage(SMES)device,wind energy-producing devices,and an energy storage battery.However,because such microgrids are nonlinear and the energy they create varies with time,controlling and managing the energy inside them is a difficult issue.Fractional-order proportional integral(FOPI)controller is recommended for the current research to enhance a standalone microgrid’s energy management and performance.The suggested dedicated control for the SMES comprises two loops:the outer loop,which uses the FOPI to regulate the DC-link voltage,and the inner loop,responsible for regulating the SMES current,is constructed using the intelligent FOPI(iFOPI).The FOPI+iFOPI parameters are best developed using the dandelion optimizer(DO)approach to achieve the optimum performance.The suggested FOPI+iFOPI controller’s performance is contrasted with a conventional PI controller for variations in wind speed and microgrid load.The optimal FOPI+iFOPI controller manages the voltage and frequency of the load.The behavior of the microgrid as a reaction to step changes in load and wind speed was measured using the proposed controller.MATLAB simulations were used to evaluate the recommended system’s performance.The results of the simulations showed that throughout all interruptions,the recommended microgrid provided the load with AC power with a constant amplitude and frequency.In addition,the required load demand was accurately reduced.Furthermore,the microgrid functioned incredibly well despite SMES and varying wind speeds.Results obtained under identical conditions were compared with and without the best FOPI+iFOPI controller.When utilizing the optimal FOPI+iFOPI controller with SMES,it was found that the microgrid performed better than the microgrid without SMES.

Development of Energy Management System for Micro Grid Operation

The introduction of several small and large-scale industries,malls,shopping complexes,and domestic applications has significantly increased energy consumption.The aim of the work is to simulate a technically viable and economically optimum hybrid power system for residential buildings.The proposed micro-grid model includes four power generators:solar power,wind power,Electricity Board(EB)source,and a Diesel Generator(DG)set,with solar and wind power performing as major sources and the EB supply and DG set serving as backup sources.The core issue in direct current to alternate current conversion is harmonics distortion,a five-stage multilevel inverter is employed with the assistance of an intelligent control system is simulated and the optimum system configuration is estimated to reduce harmonics and improve the power quality.The monthly demand for residential buildings is 13-15 Megawatts.So,almost 433 Kilo-Watts(KW)of electricity is required every day,and if it is used for 8 h per day,50-60 KW of electricity is needed per hour.The overall micro-grid model’s operation and performance are established using MATLAB/SIMULINK software,and simulation results are provided.The simulation results show that the developed system is both cost-effective and environment friendly resulting in yearly cost reductions.

New Strategy of IPACS Design and Energy Management for Spacecrafts

The design problem of an integrated power and attitude control system （IPACS） for spacecrafts is investigated. A Lyapunov-typed IPACS controller is designed for a spacecraft equipped with 4 flywheels （3 orthogonal ＋ 1 skew）. This controller keeps in the nonlinear properties of original systems, so the control result can be more precise. A control law of the flywheels is also proposed to accomplish the attitude control and energy storage simultaneously. Aiming at the limitations existing in the power conversion characteristic and the wheel＇s motor, a new strategy of energy management is proposed. The strategy can not only make the charged/discharged energy reaching balance in each orbital period, but also sufficiently utilize the power provided by the solar arrays. Therefore, the size and mass of solar arrays can be decreased, and the cost of spacecraft can be economized. A simulation example illustrates the validity of the designed IPACS.

Prospects of key technologies of integrated energy systems for rural electrification in China

Owing to increasing environmental concerns and resource scarcity, integrated energy system shave become widely used in communities. Rural energy systems, as one of the important links of the energy network in China, suffer from low energy efficiency and weak infrastructure. Therefore, it is particularly important to increase the proportion of electricity consumption and build an integrated energy system for rural electrification in China(IESREIC) with a rural distribution network as the core, in line with national conditions. In this study, by analyzing the Chinese regional differences and natural resource endowments, the development characteristics of the IESREIC are summarized. Then, according to the existing rural energy problems, key technologies are proposed for the IESREIC, such as those for planning and operation, value sharing, infrastructure, and a management and control platform. Finally, IESREIC demonstration projects and business models are introduced for agricultural production, rural industrial systems, and rural life. The purpose is to propose research concepts for the IESREIC, provide suggestions for the development of rural energy, and provide a reference for the construction of rural energy systems in countries with characteristics similar to those of China.

Smart Grids with Intelligent Periphery:An Architecture for the Energy Internet

A future smart grid must fulfill the vision of the Energy Internet in which millions of people produce their own energy from renewables in their homes, offices, and factories and share it with each other. Electric vehicles and local energy storage will be widely deployed. Internet technology will be utilized to transform the power grid into an energysharing inter-grid. To prepare for the future, a smart grid with intelligent periphery, or smart GRIP, is proposed. The building blocks of GRIP architecture are called clusters and include an energy-management system （EMS）-controlled transmission grid in the core and distribution grids, micro-grids, and smart buildings and homes on the periphery; all of which are hierarchically structured. The layered architecture of GRIP allows a seamless transition from the present to the future and plug-and-play interoperability. The basic functions of a cluster consist of （1） dispatch, （2） smoothing, and （3） mitigation. A risk-limiting dispatch methodology is presented; a new device, called the electric spring, is developed for smoothing out fluctuations in periphery clusters; and means to mitigate failures are discussed.

Key Technologies and Development Trends in Advanced Intelligent Sawing Equipments

As a starting point in equipment manufacturing,sawing plays an important role in industrial production.Intelligent manufacturing equipment is an important carrier of intelligent manufacturing technologies.Due to the backwardness of intelligent technology,the comprehensive performance of sawing equipments in China is obviously different from that in foreign countries.State of the art of advanced sawing equipments is investigated along with the technical bottleneck of sawing machine tool manufacturing,and a new industrial scheme of replacing turning-milling by sawing is described.The key technologies of processing-measuring integrated control,multi-body dynamic optimization,the collaborative sawing network framework,the distributed cloud sawing platform,and the self-adapting service method are analyzed;with consideration of the problems of poor processing control stableness,low single machine intelligence level,no on-line processing data service and active flutter suppression of sawing with wide-width and heavy-load working conditions.Suggested directions for further research,industry implementation,and industry-research collaboration are provided.

Prospects for key technologies of new-type urban integrated energy system

In recent years,primary energy consumption in China’s urban areas has increased rapidly,facing the problems of extensive use of energy,high energy consumption and insufficient intensified use of energy resources.Improving multienergy supply,increasing the proportion of clean energy and integrated energy efficiency are the main goals of urban development.The integrated energy system with multi-functional synergy and open trading will become one of the new directions for the development of new urban energy systems.This paper summarizes the main problems faced by the current towns and the characteristics of the new urban energy system,analyzes the development of new urban energy system from three aspects including energy interconnection hub infrastructure construction,energy management platform construction and energy value sharing,and forecasts the future development direction of new urban energy systems.

面向易行的高速铁路智能平行调度系统构架及关键技术

针对我国高铁成网运行、管控列车数量和种类多、运营方式复杂等特点,以构建新一代智能动态调度系统为目标,探讨面向易行的高速铁路智能平行调度系统构架,从5个方面提炼出高速铁路智能平行调度系统的技术特征。总结目前高速铁路智能平行调度系统研究亟待解决的关键技术,介绍智能高铁平行调度一体化仿真原型系统研制及实现的部分场景功能。研究工作可为建立面向易行服务的,适应中国高铁“效率变革”“质量变革”需求的智能动态调度理论与技术体系,实现我国高速铁路智能调度系统和运输服务水平的升级发展提供参考。

集团化医院多院区后勤机电设备设施集成化管理探索与实践

分析了集团化医院多院区后勤机电系统管理信息化的现状,以及医院后勤管理流程存在的问题和挑战。以华中科技大学同济医学院附属协和医院为例,介绍医院后勤一体化综合管理平台对于后勤机电设备的集成管理实践,包括平台的功能框架、部署方式以及数据标准化和流程优化等。通过平台的部署和集成,实现了多院区后勤机电设备和系统的数据共享和协同管理。实践表明,基于综合管理平台的集成管理是解决集团化医院多院区后勤机电系统管理问题的有效途径。

嵌入式能量管理系统研制与工程实践

传统能量管理系统硬件组成复杂、设备接入成本高、扩展性及通用性弱,难以适配中小规模新兴场景的多能自主管控需求。为此,文中提出一种嵌入式能量管理系统。首先,基于混成控制理论提出控制组态技术,实现策略的通用开发;其次,基于自动微分开发边缘优化求解器,并结合嵌入式数据库、异步非阻塞通信技术构建轻量Web应用;最后,结合Simulink开展半实物仿真测试以验证控制的有效性。文中提出的嵌入式能量管理系统已在杭州亚运村世纪变电站和多个工业园区投入实际应用,交付周期显著缩短,部署成本降低50%以上,性能表现良好。

医用气体工程智慧化运维应用

医用气体系统作为医院支持系统的核心之一,直接关系到医疗安全和医院的安全[1-2]。以预防为主、实时反馈及事后追踪三位一体管理为目标,建立了医用气体系统云管控平台;采用“1+1>2”人、机结合的管理方式,将运行控制与辅助决策相结合,研发了医用气体一体化运行维护监测系统,以实现对医院医用气体方面一体化数据的中央控制及实时监测包含液氧站、医用制氧机房、医用负压机房、医用空气机房及医用气体管网点位监测等设备的运行使用情况、设备维护信息、数据采集、压力实时报警、报表汇总、医用气体计量监测数据的一体化管理、统计、全成本分析及核算等功能。

采气井站高效生产运行机制的探索与实践

中石化西南油气分公司采气三厂为推进“集中监控、无人值守、少人巡检、专业维修”管理模式落地,以生产指挥中心为核心,以生产组织运行关键业务为重点,以扁平化组织架构为支撑,利用信息化手段,明确内外操职能和工作界面,做强生产指挥中心“内操”职能,做实基层班组“外操”职能,内操通过信息化平台对生产现场实时管控,通过气田PCS系统一体化联动;外操对生产异常及时处置,有效提高了异常发现和管控的及时率,促使生产运行管理理念由管正常向管异常转变。逐步形成了“全面覆盖、无缝链接、精准高效”的立体管理体系,无人值守场站比例由标准化建设前23%提升至49%。

基于互联网技术的实验室智慧管理平台研究与构建

随着国家对高校的投资力度逐年增大,学校的实验室与资产设备也在逐年增长,为各高校的教学科研工作提供了有力支撑,这些宝贵资源的有效利用和安全运行是高校管理工作的重中之重。但是目前高校实验室管理在制度建设、人员管理、资源利用、安全运行等方面存在诸多问题,通过利用互联网技术建立起实验室综合智慧管理平台,将实验室运行管理涉及到的工作流程、资源共享、安全保障等各个环节集中于同一平台,既可以提高实验室管理工作效率,又实现了资源利用最大化。

城市轨道交通全自动运行场景下的智能管控平台研究

[目的]现有运营机制主要为运营管理制度驱动人员进行操作管理,运营人员通过电话或对讲设备沟通信息,并使用各自独立的专业系统下达运营管控指令,在系统与系统之间只有少数固定的联动,这种模式下运营管理人员负荷较高,阻碍了运营管控效率的进一步提升。研究全自动运行中严重影响运营、乘客、设备设施等安全的场景,探索全自动运行运营安全管控机制和智能管控平台,提升全自动运行线路运营安全管控水平。[方法]采用智能化、数字化、信息化、高可信等技术手段将静态的运营规则和工作制度提升为动态的联动联控和应急处置管控措施的方法;构建服务于车站、车辆以及中心调度等多岗位信息共享、协同处置机制和智能管控平台,提高故障应急处置以及排故效率。[结果及结论]上海全自动运行线路的实践证明,搭建运营安全智能管控平台,加强运营安全监督、构建关键岗位协同处置机制、实现制度驱动系统安全高效地进行专业设施设备联动联控、智能辅助决策等功能,能更好地保障和提升全自动运行线路的应急处置效率和运营安全管控水平。

基于多层ReLU网络的楼宇暖通空调系统能量管理策略

提升现代智能楼宇的能量管理能力,是电力紧平衡背景下促进电网节能增效的重要举措。文中提出一种数据驱动的楼宇暖通空调系统节能控制策略,避免了传统模型预测控制对精确热力学建模的依赖。首先,在搭建楼宇热网络仿真模型的基础上,采用延时嵌入法构造输入特征,建立基于修正线性单元的多层神经网络模型,实现室内温度时间序列的多步预测。然后,针对电网的分时电价,构建滚动时域优化模型,并将其重构为混合整数线性规划的形式,实现有限控制周期内优化模型的高效求解。最后,基于Simscape搭建楼宇热仿真模型,验证了所提控制策略的有效性。仿真结果表明,所提策略能够满足温度舒适度要求,并提高楼宇的经济运行水平。

云控制水肥药械智能监控平台的设计与实现

随着我国农业现代化水平的提高,以水肥药械为核心的现代农业服务体系成为未来行业发展的方向。为此,采用B/S结构模式,使用Django框架,选用MySQL数据库,设计并实现了一种云控制水肥药械智能监控平台。平台拥有完善的机构、数据交互、用户和权限等管理功能,可实现水肥药械的数字化管理;嵌入了基于Bi-LSTM与LightGBM融合的参考作物蒸散量预测方法,可实现对作物灌溉的实时预测;增加了作物施肥计算公式以及施肥用药数据库,可为用户对肥、药的施用提供科学的参考依据。实际运行及性能测试结果表明:平台的架构和模块设计合理,功能较全面和灵活,可有效满足设施园区对于水肥药械的管理需求,推动现代化农业发展。

关于冶金行业能源管理的研究与思考

工业能源管理是一种先进、高效的节能减排手段,通过集中化、系统化的方式管理企业能源,可为企业实现降本增效,同时也是冶金行业实施智能化改造、数字化转型和双碳工作必不可少的一个环节。但冶金行业层面的能源管理研究鲜有报道,对于钢铁和有色冶金两个分支的能源管理差异和共性问题尚缺乏讨论。针对此问题,本文综合分析了冶金行业的能源管理发展情况,讨论了能源管理在冶金行业中的应用逻辑、范畴及效果等,梳理了相关的国家法律、政策、标准、认证及典型节能评价指标,并结合国内外钢铁和有色冶金生产企业能源管理案例进行分析,认为目前我国在冶金行业的能源管理还存在能源监测不足、重局部轻全局、专业人才不足等问题,未来需要从建立量化评估标准体系、引入低碳节能新技术、追踪资源足迹全过程、融合智能化与数字化、大规模使用清洁能源等方面进行关注。随着节能理念的深入,节能新技术的创新突破,能源量化评估体系的完善,碳减排经济效益的激励,以及企业对ESG(环境、社会和治理)的持续强化,能源管理必将迎来更广阔的发展机遇。

新工科时代智能制造虚拟仿真平台建设探索

根据新工科人才培养目标和产业发展需求,分析智能制造虚拟仿真训练学习对本科生交叉学科能力培养的作用;探索高校工程训练中心如何依托本校优势学科构建材料成型智能制造虚拟仿真实验平台,应用虚拟仿真、人工智能和信息技术等最新技术手段,规划虚实一体化模式的虚拟仿真实训项目和任务导向明确的虚拟仿真训练,提升学生工程能力,创设学科交叉融合的学生虚拟智能控制创新任务,提升学生应用交叉学科运用能力和创新能力;运用云技术构建虚拟仿真平台教学管理体系,提高工程训练中心管理水平和教学效率,满足未来社会对人才需求的变化与挑战。

港区多能源融合综合管控系统

在“碳达峰”、“碳中和”背景下,港区节能减排已迫在眉睫。若能充分利用港区本地的风、光等可再生能源为港区提供能源,可以从源头降低碳排放,助力港区“碳达峰”“碳中和”目标的实现。但新能源出力的不确定性为系统运行的经济性、安全性带来挑战,故需要对多种能源进行综合管控。文中主要针对某港区风力发电系统、光伏发电系统、储能系统、港区氢气的制、注、储、供一体化系统所构成的多能源融合系统,进行能量综合管控系统的设计。该系统整体分为5层架构,硬件上分控制区和管理区,可满足安全防护要求;功能上可协同调控风光发电、储能、制氢、氢燃料电池发电、港区用电、船岸用电等多个子系统,在保持多能融合系统稳定运行的同时最大化经济效益。

数字孪生智能矿山管控平台及智能洗选管控平台建设

煤矿智能化的技术革新催动着煤矿安全管理迈入智能化,以安全风险智能管控为方向的煤矿智能化安全是智能煤矿建设的安全前提和安全保障。数字化转型和数字经济的发展成为产业变革的主基调,国内外众多矿山企业相继实施了数字矿山或者智能矿山的建设,因每个矿山的工艺特点和基础条件存在不同,导致建设成效差异较大。围绕智能矿山建设的内涵和目标,综合运用计算机、网络、集成、智能控制等先进技术,全面构建集调度管理、安全监测、视频监视、通信指挥为一体的中煤建筑安装工程集团有限公司生产调度信息化管控信息化平台,以求达到各类安全生产信息的高度集中,矿井各生产环节的有效信息实时掌握,做到“管、控、营”的一体化调度。为“中国智造”奠定了技术基础。