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Global Energy Interconnection 2024年第1期7卷 94-105页

作者： Pengtian Guo Kai Xiao Xiaohui Wang Daoxing Li China Electric Power Research Institute Co.Ltd. Beijing 100192P.R.China

The power Internet of Things(IoT)is a significant trend in technology and a requirement for national strategic development.With the deepening digital transformation of the power grid,China’s power system has initially built a power IoT architecture comprising a perception,network,and platform application layer.However,owing to the structural complexity of the power system,the construction of the power IoT continues to face problems such as complex access management of massive heterogeneous equipment,diverse IoT protocol access methods,high concurrency of network communications,and weak data security protection.To address these issues,this study optimizes the existing architecture of the power IoT and designs an integrated management framework for the access of multi-source heterogeneous data in the power IoT,comprising cloud,pipe,edge,and terminal parts.It further reviews and analyzes the key technologies involved in the power IoT,such as the unified management of the physical model,high concurrent access,multi-protocol access,multi-source heterogeneous data storage management,and data security control,to provide a more flexible,efficient,secure,and easy-to-use solution for multi-source heterogeneous data access in the power IoT.

关键词： Power Internet of Things Object model High concurrency access Zero trust mechanism Multi-source heterogeneous data

Modeling and application of marketing and distribution data based on graph computing

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Global Energy Interconnection 2022年第4期5卷 448-460页

作者： Kai Xiao Daoxing Li Xiaohui Wang Pengtian Guo China Electric Power Research Institute Co.Ltd. Beijing 100192P.R.China

Integrating marketing and distribution businesses is crucial for improving the coordination of equipment and the efficient management of multi-energy systems.New energy sources are continuously being connected to distribution grids;this,however,increases the complexity of the information structure of marketing and distribution businesses.The existing unified data model and the coordinated application of marketing and distribution suffer from various drawbacks.As a solution,this paper presents a data model of"one graph of marketing and distribution"and a framework for graph computing,by analyzing the current trends of business and data in the marketing and distribution fields and using graph data theory.Specifically,this work aims to determine the correlation between distribution transformers and marketing users,which is crucial for elucidating the connection between marketing and distribution.In this manner,a novel identification algorithm is proposed based on the collected data for marketing and distribution.Lastly,a forecasting application is developed based on the proposed algorithm to realize the coordinated prediction and consumption of distributed photovoltaic power generation and distribution loads.Furthermore,an operation and maintenance(O&M)knowledge graph reasoning application is developed to improve the intelligent O&M ability of marketing and distribution equipment.

关键词： Marketing and distribution connection Graph data Graph computing Knowledge graph Data model

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Global Energy Interconnection 2023年第1期6卷 15-25页

作者： Kai Xiao Daoxing Li Pengtian Guo Xiaohui Wang Yong Chen China Electric Power Research Institute Co.Ltd. Beijing 100192P.R.China

Operation control of power systems has become challenging with an increase in the scale and complexity of power distribution systems and extensive access to renewable energy.Therefore,improvement of the ability of data-driven operation management,intelligent analysis,and mining is urgently required.To investigate and explore similar regularities of the historical operating section of the power distribution system and assist the power grid in obtaining high-value historical operation,maintenance experience,and knowledge by rule and line,a neural information retrieval model with an attention mechanism is proposed based on graph data computing technology.Based on the processing flow of the operating data of the power distribution system,a technical framework of neural information retrieval is established.Combined with the natural graph characteristics of the power distribution system,a unified graph data structure and a data fusion method of data access,data complement,and multi-source data are constructed.Further,a graph node feature-embedding representation learning algorithm and a neural information retrieval algorithm model are constructed.The neural information retrieval algorithm model is trained and tested using the generated graph node feature representation vector set.The model is verified on the operating section of the power distribution system of a provincial grid area.The results show that the proposed method demonstrates high accuracy in the similarity matching of historical operation characteristics and effectively supports intelligent fault diagnosis and elimination in power distribution systems.

关键词： Neural information retrieval Power distribution Graph data Operating section Similarity matching

Towards sparse matrix operations:graph database approach for power grid computation

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Global Energy Interconnection 2023年第1期6卷 50-63页

作者： Daoxing Li Kai Xiao Xiaohui Wang Pengtian Guo Yong Chen China Electric Power Research Institute Co.Ltd. Beijing 100192P.R.China

The construction of new power systems presents higher requirements for the Power Internet of Things(PIoT)technology.The“source-grid-load-storage”architecture of a new power system requires PIoT to have a stronger multi-source heterogeneous data fusion ability.Native graph databases have great advantages in dealing with multi-source heterogeneous data,which make them suitable for an increasing number of analytical computing tasks.However,only few existing graph database products have native support for matrix operation-related interfaces or functions,resulting in low efficiency when handling matrix calculations that are commonly encountered in power grids.In this paper,the matrix computation process is expressed by a strategy called graph description,which relies on the natural connection between the matrix and structure of the graph.Based on that,we implement matrix operations on graph database,including matrix multiplication,matrix decomposition,etc.Specifically,only the nodes relevant to the computation and their neighbors are concerned in the process,which prunes the influence of zero elements in the matrix and avoids useless iterations compared to the conventional matrix computation.Based on the graph description,a series of power grid computations can be implemented on graph database,which reduces redundant data import and export operations while leveraging the parallel computing capability of graph database.It promotes the efficiency of PIoT when handling multi-source heterogeneous data.An comprehensive experimental study over two different scale power system datasets compares the proposed method with Python and MATLAB baselines.The results reveal the superior performance of our proposed method in both power flow and N-1 contingency computations.

关键词： Graph database Graph description Matrix Parallel computing Power flow

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基于图计算的营配数据融合模型构建及应用

电力信息与通信技术 2024年第1期22卷 61-69页

作者：肖凯李道兴王晓辉郭鹏天中国电力科学研究院有限公司北京市海淀区100192

文章首先分析了营配领域业务发展、营配贯通及数据应用现状,基于图理论,提出“营配一张图”数据融合模型构建方法,从提升营配图数据质量的角度,提出基于热重启随机梯度下降算法和余弦退火算法的户变拓扑辨识校正算法;结合营配数据规模... 详细信息

文章首先分析了营配领域业务发展、营配贯通及数据应用现状,基于图理论,提出“营配一张图”数据融合模型构建方法,从提升营配图数据质量的角度,提出基于热重启随机梯度下降算法和余弦退火算法的户变拓扑辨识校正算法;结合营配数据规模及分析处理需求,提出营配图计算算法框架。在此基础上,通过在某省建设营配设备运维知识图谱应用,验证模型构建方法及计算框架的有效性和实用性。

关键词：营配贯通营配一张图图数据图计算知识图谱

基于生成对抗数据增殖的输电设备可视缺陷检测技术研究

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电力信息与通信技术 2023年第9期21卷 38-43页

作者：蔡常雨莫文昊王万国张英强郭鹏天中国电力科学研究院有限公司人工智能应用研究所北京市海淀区100192 国网山东省电力公司山东省济南市250001

输电设备巡检影像的小样本特征愈发凸显,为输电线路智能巡检带来了新的挑战。样本分布不平衡导致大量输电图像样本资源无法充分利用,为此提出基于生成对抗数据增殖的输电设备可视缺陷检测技术。通过引入循环生成对抗网络对输电设备巡检... 详细信息

输电设备巡检影像的小样本特征愈发凸显,为输电线路智能巡检带来了新的挑战。样本分布不平衡导致大量输电图像样本资源无法充分利用,为此提出基于生成对抗数据增殖的输电设备可视缺陷检测技术。通过引入循环生成对抗网络对输电设备巡检影像样本进行增殖,而后利用扩增后的样本完成输电设备可视缺陷检测模型训练,实现可视缺陷检测效果的优化提升。通过仿真实验验证了循环生成对抗数据增殖对输电设备可视缺陷检测有效性与稳定性的提升效果,为输电设备可视缺陷检测提供了新的视角与思路。

关键词：生成对抗网络数据增殖缺陷检测目标检测输电设备

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锦州市土壤侵蚀特征及土地利用类型变化分析

黑龙江水利科技 2023年第12期51卷 101-104页

作者：贾鹏天凌海市水利事业服务中心辽宁凌海121200

采用GIS技术与RUSLE方程,从县域和市域上定量研究锦州市用地类型变化及土壤侵蚀特征。结果表明:锦州市2020年土壤侵蚀量642.85万t/a,土壤侵蚀面积2649.86km^(2),土壤侵蚀模数2425.98t/(km^(2)·a),其中面积占比最高的微度侵蚀,轻度与中... 详细信息

采用GIS技术与RUSLE方程,从县域和市域上定量研究锦州市用地类型变化及土壤侵蚀特征。结果表明:锦州市2020年土壤侵蚀量642.85万t/a,土壤侵蚀面积2649.86km^(2),土壤侵蚀模数2425.98t/(km^(2)·a),其中面积占比最高的微度侵蚀,轻度与中度侵蚀次之;义县、凌海市、黑山县等侵蚀面积较大达到1020.64km^(2)、644.81km^(2)和499.44km^(2),各区县轻度与微度侵蚀面积占比最高,均达到60%以上。对于不同用地类型,旱地与林地的侵蚀面积比为33.00%和41.56%,未利用地、建设用地以及水域以微度侵蚀为主,凌海市侵蚀产沙主要来源于水田、旱地和林地,文章通过对土壤侵蚀特征及土地利用类型变化分析,为锦州市生态保护和水土保持规划提供一定借鉴经验。

关键词： GIS技术 RUSLE方程用地类型土壤侵蚀锦州市

Studies on Room Temperature Ionic Liquid Prepared from InCl_3-MBIC

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Chinese Chemical Letters 2002年第11期13卷 1061-1062页

作者： pengtian JiaZhenYAGN 等 InstituteofMaterials North－EastUniversityShenyang110006 Departmentofchemistry LiaoningUniversityShenyang110036

The phase diagram of InCl3-MBIC was constructed by DSC method. A clear, colorless and mobile ionic liquid was obtained and liquid down to 258 K. Both Raman scattering and ab initio calculations indicate that InCl4- ... 详细信息

关键词： Ionic liquid Raman scattering phase diagram InCl3 MBIC ab initio calculation.

德国疗养地(Kurort)与疗养公园(Kurpark):形成、发展、空间模式与景观设计特点

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中国园林 2022年第1期38卷 118-123页

作者：向鹏天黄秋韵李树华清华大学建筑学院景观学系北京100084

德国疗养地具有典型性的公共绿地类型:疗养公园(德文:Kurpark;英文:spapark),从德国疗养地的历史出发,对疗养地与疗养公园的形成和发展阶段进行论述。选择德国40处疗养地的疗养公园作为研究对象,结合地图与文献资料,通过应用制图方法和... 详细信息

德国疗养地具有典型性的公共绿地类型:疗养公园(德文:Kurpark;英文:spapark),从德国疗养地的历史出发,对疗养地与疗养公园的形成和发展阶段进行论述。选择德国40处疗养地的疗养公园作为研究对象,结合地图与文献资料,通过应用制图方法和数据分析方法就公园与城镇、公园与疗养功能建筑的空间关系分别进行分析并归纳总结其特征,公园-城镇空间共有3种模式即城镇边界型、城镇内部型与城镇近郊型,以边界型最常见;公园-疗养建筑的空间模式以建筑分布于公园外侧为主,建筑按照功能可细分为医疗类、娱乐休憩类与住宿类。采用案例分析法,以典型的克奈普疗养地——巴特沃利斯霍芬的疗养公园为例,探讨其景观设计要点,包括重视自然要素、步行空间体系建设、植物专类园设计及疗愈设施建设。最后总结德国疗养公园的建设经验对于当前中国小城镇建设及"康养小镇"在规划设计方面具有的借鉴意义。

关键词：风景园林德国疗养地疗养公园小城镇

自适应分流交替电弧WAAM电弧行为与熔滴过渡

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焊接学报 2024年第2期45卷 41-46,I0005页

作者：胡青松闫朝阳章朋田陈树君北京工业大学汽车结构部件先进制造技术教育部工程研究中心北京100124 中国空间技术研究院北京卫星制造厂有限公司北京100124

传统电弧由于热输入高、熔覆率低,无法直接应用于电弧熔丝增材制造(wire and arc additive manufacturing,WAAM)技术.该文提出极性变换自适应分流交替电弧WAAM工艺方法,在钨电极,工件和丝材间形成交替电弧.根据EN/EP电流转换时自适应分... 详细信息

传统电弧由于热输入高、熔覆率低,无法直接应用于电弧熔丝增材制造(wire and arc additive manufacturing,WAAM)技术.该文提出极性变换自适应分流交替电弧WAAM工艺方法,在钨电极,工件和丝材间形成交替电弧.根据EN/EP电流转换时自适应分流并主动诱导交替电弧形成.该新型热源能满足以丝材阳极-钨电极阴极的EN电弧熔化丝材;以钨电极阳极-工件阴极的EP电弧清理工件,并通过适当的调节实现电弧热质力传输的受控解耦.验证了该新型热源的适用性,并对比分析了焊接速度和丝材高度下对电弧行为及熔滴过渡的影响.结果表明,当焊接速度为5.7 mm/s和丝材高度为8 mm时,沉积层形貌较好且熔滴过渡规律;与传统变极性等离子电弧(variable polarity plasma arc,VPPA)熔丝增材制造技术相比,其自适应分流交替电弧显著提高了丝材的沉积效率且降低了母材热输入,较好的兼顾了增材质量与增材效率.

关键词：电弧熔丝增材制造交替电弧熔滴过渡电弧行为焊缝成形