The mapping methods and division of tectonic units of the regional tectonic map in the eastern China seas and adjacent regions

The geological-geophysical map series of the eastern China seas and adjacent region （1：1 000 000） will be published in the late half year of 2009. The regional tectonic map is one of the main professional maps. The Mapping methods, the division method of geological tectonic units and the main geological tectonic units are mainly discussed. The strata from Pliocene to Holocene are peeled off so as to display the Pre-Pliocene structures. In basins, isopaches are drawn for the Cenozoic deposits. The plate tectonic theory and present tectonic pattern are adopted as the priorities in tectonic division. As to the division of intraplate tectonic units, it is a revision, complement and improvement of previous dividing systems, and the nomenclature for each tectonic unit follows the current system in China. The first-order tectonic unit is plate （Pacific Plate, Eurasian Plate and Philippine Sea Plate）. The second-order tectonic unit is tectonic domain （East Asian continental tectonic domain,East Asian continental margin tectonic domain and west Pacific tectonic domain）. The Philippine Sea Plate and the west part of the Pacific Plate are called the West Pacific tectonic domain. The part of the Eurasian Plate involved in this study area can be further divided into East Asian continental tectonic domain and East Asian continental margin tectonic domain. The East Asian continental margin domain is composed of the Ryukyu island arc, the Okinawa Trough back-arc basin and the back-arc basin of Sea of Japan. The East Asian continental tectonic domain in this study area is composed of the Sino-Korea Massif, the Changjiang River （Yangtze） Massif and South China Massif. In turn, these massifs consist of basins, folded belts or uplift zones. The basins,the folded belts or the uplift zones are further divided into uplifts and depressions made up of sags and swells.

Development unit division and favorable area evaluation for joint mining coalbed methane

Based on the productivity equation of coalbed methane (CBM) well, considering the impact of coal reservoir reformability on gas well productivity, the main production layer optimization index in the “three-step method” of optimal combination of production layers is corrected, and then the CBM production layer potential index is introduced to evaluate favorable areas for commingled multi-coal seam production. Through analysis of the key parameters of coal reservoirs affecting the CBM productivity index, a development unit division method for areas with multi-coal seams is established, and a quantitative grading index system is proposed. On this basis, the evaluation process of CBM development favorable area is developed: the mature 3-D modeling technology is used to characterize the reservoir physical properties of multi-coal seams in full-scale;the production layer potential index of each grid is calculated, and the production layer potential index contour under single-layer or commingled multi-layer production are plotted;according to the distribution of the contour of production layer potential index, the quantitative index of CBM development unit is adopted to outline the grade I, II, III coal reservoir distribution areas, and thus to pick out the favorable development areas. The practical application in the Yuwang block of Laochang in Yunnan proved that the favorable area evaluation process proposed can effectively overcome the defects of selecting favorable development areas only relying on evaluation results of a major coal seam pay, and enhance the accuracy of the evaluation results, meeting the requirements of selecting favorable areas for multi-coal seam commingled CBM production.

Cost analysis of sand barriers in desertified regions based on the land grid division model

Sand barriers are the most widely used mechanical implements for wind-blown sand control and desertification prevention.However,there is no standard quantitative cost analysis of the sizes and materials required for sand barriers.In this study,based on the original land grid division model for optimal resource utilization,we calculated the total side lengths of square and regular hexagonal sand barriers with the sizes of 1.0 m×1.0 m,2.0 m×2.0 m,and 3.0 m×3.0 m in a desertified region of the Shapotou area on the southeastern edge of the Tengger Desert,China.Then,through literature review and social survey,we obtained the material cost and material utilization amount of sand barriers with different materials and sizes.Finally,we calculated the costs of square and regular hexagonal sand barriers comprised of wheat straw,corn stalk,Salix mongolica,poly lactic acid,magnesium cement,and high-density polyethylene,with the sizes of 1.0 m×1.0 m,2.0 m×2.0 m,and 3.0 m×3.0 m.The results show that the material cost of regular hexagonal corn stalk sand barriers with the size of 3.0 m×3.0 m is the lowest,while the material cost of square magnesium cement sand barriers with the size of 1.0 m×1.0 m is the highest.When using the same material,the cost of regular hexagonal sand barriers is lower than that of square sand barriers with the same size.When using the same size,the cost of sand barriers with corn stalk material is lower than that of sand barriers with other materials.Based on the above analysis,we can conclude that the economic benefits of regular hexagonal sand barriers are greater than those of square sand barriers.This study provides a theoretical basis for accurately calculating the material cost of sand barriers,particularly for the estimated cost of mechanized sand barrier engineering projects.

MicroGrid Designer:user-friendly design,operation and control assist tools for resilient microgrid and autonomous community

During this decade,many countries have experienced natural and accidental disasters,such as typhoons,floods,earthquakes,and nuclear plant accidents,causing catastrophic damage to infrastructures.Since the end of 2019,all countries of the world are struggling with the COVID-19 and pursuing countermeasures,including inoculation of vaccine,and changes in our lifestyle and social structures.All these experiences have made the residents in the affected regions keenly aware of the need for new infrastructures that are resilient and autonomous,so that vital lifelines are secured during calamities.A paradigm shift has been taking place toward reorganizing the energy social service management in many countries,including Japan,by effective use of sustainable energy and new supply schemes.However,such new power sources and supply schemes would affect the power grid through intermittency of power output and the deterioration of power quality and service.Therefore,new social infrastructures and novel management systems to supply energy and social service will be required.In this paper,user-friendly design,operation and control assist tools for resilient microgrids and autonomous communities are proposed and applied to the standard microgrid to verify its effectiveness and performance.

Equality Testing for Soil Grid Unit Resolutions to Polygon Unit Scales with DNDC Modeling of Regional SOC Pools

Matching soil grid unit resolutions with polygon unit map scales is important to minimize the uncertainty of regional soil organic carbon(SOC) pool simulation due to their strong influences on the modeling.A series of soil grid units at varying cell sizes was derived from soil polygon units at six map scales,namely,1:50 000(C5),1:200 000(D2),1:500 000(P5),1:1 000 000(N1),1:4 000 000(N4) and 1:14 000 000(N14),in the Taihu Region of China.Both soil unit formats were used for regional SOC pool simulation with a De Nitrification-DeC omposition(DNDC) process-based model,which spans the time period from 1982 to 2000 at the six map scales.Four indices,namely,soil type number(STN),area(AREA),average SOC density(ASOCD) and total SOC stocks(SOCS) of surface paddy soils that were simulated by the DNDC,were distinguished from all these soil polygon and grid units.Subjecting to the four index values(IV) from the parent polygon units,the variations in an index value(VIV,%) from the grid units were used to assess its dataset accuracy and redundancy,which reflects the uncertainty in the simulation of SOC pools.Optimal soil grid unit resolutions were generated and suggested for the DNDC simulation of regional SOC pools,matching their respective soil polygon unit map scales.With these optimal raster resolutions,the soil grid units datasets can have the same accuracy as their parent polygon units datasets without any redundancy,when VIV < 1% was assumed to be a criterion for all four indices.A quadratic curve regression model,namely,y = – 0.80 × 10^(–6)x^2 + 0.0228 x + 0.0211(R^2 = 0.9994,P < 0.05),and a power function model R? = 10.394?^(0.2153)(R^2 = 0.9759,P < 0.05) were revealed,which describe the relationship between the optimal soil grid unit resolution(y,km) and soil polygon unit map scale(1:10 000x),the ratio(R?,%) of the optimal soil grid size to average polygon patch size(?,km^2) and the ?,with the highest R^2 among different mathematical regressions,respectively.This knowledge may facilitate the grid partitioning of regions during the investigation and simulation of SOC pool dynamics at a certain map scale,and be referenced to other landscape polygon patches' mesh partition.

Contribution of UHV Grid to United National Power Market

Power market construction is an important part of the marketization reform in China's electric power industry and an essential part of the economic system reform in China. With the social and economic development, the contradiction between distribution of energy resources and development of regional economies gets increasingly noticeable, and a united national power market is consequentially required to optimize the allocation of energy resources over the whole country. Analyses indicate that the development of UHV grid will provide a strong material support for the united national power market by expanding market coverage, lowering load fluctuation and promoting diversif ication of power resources.

Rapid Fault Analysis by Deep Learning-Based PMU for Smart Grid System

Smart Grids(SG)is a power system development concept that has received significant attention nationally.SG signifies real-time data for specific communication requirements.The best capabilities for monitoring and controlling the grid are essential to system stability.One of the most critical needs for smart-grid execution is fast,precise,and economically synchronized measurements,which are made feasible by Phasor Measurement Units(PMU).PMUs can pro-vide synchronized measurements and measure voltages as well as current phasors dynamically.PMUs utilize GPS time-stamping at Coordinated Universal Time(UTC)to capture electric phasors with great accuracy and precision.This research tends to Deep Learning(DL)advances to design a Residual Network(ResNet)model that can accurately identify and classify defects in grid-connected systems.As part of fault detection and probe,the proposed strategy uses a ResNet-50 tech-nique to evaluate real-time measurement data from geographically scattered PMUs.As a result of its excellent signal classification efficiency and ability to extract high-quality signal features,its fault diagnosis performance is excellent.Our results demonstrate that the proposed method is effective in detecting and classifying faults at sufficient time.The proposed approaches classify the fault type with a precision of 98.5%and an accuracy of 99.1%.The long-short-term memory(LSTM),Convolutional Neural Network(CNN),and CNN-LSTM algo-rithms are applied to compare the networks.Real-world data tends to evaluate these networks.

非均匀格网下的耕地集中连片等级划分方法

耕地细碎化导致农业生产成本高、效率低,为了提高耕地利用效率,需实现耕地集中式管理。针对均匀网格在对耕地面积进行表达时数据量冗余和格网尺度选择问题,本文提出了根据斑块平均面积和面积表达误差确定格网最适宜起始和终止尺度的方法,构建基于四叉树的非均匀格网,建立了耕地集中连片分析规则、评价指标体系和技术流程,实现非均匀格网下的耕地集中连片等级划分。以江苏省徐州市为试验区开展耕地集中连片分析。结果表明:①与均匀网格相比,非均匀格网减少了43.8%数据冗余,实现了耕地面积最小误差表达,适用性更强。②徐州耕地连片区域占耕地总面积88.6%,其中50%耕地集中连片等级处于中等偏上水平。③连片区域中有21.4%耕地集中连片等级处于中等以下水平,应将其作为提高区域整体连片等级优先优化的耕地。

基于自适应字典校正的稀疏恢复STAP算法

空时自适应处理(Space-Time Adaptive Processing,STAP)技术在时间维(脉冲维)和空间维(阵元维)联合进行信号处理,以实现动目标检测功能。但是,传统STAP技术的计算复杂度非常高,而且在优化处理信号过程中需要大样本的支撑,在实际的工作场景中,杂波环境复杂易变,不易获取足够多的独立同分布样本,因此杂波抑制效果较差。稀疏恢复空时自适应处理(Sparse Recovery Space-Time Adaptive Processing,SR-STAP)算法可以利用很少的训练样本实现杂波抑制,但大多数SR-STAP算法的计算量巨大,运行速度慢,算法实时性不高。此外,SRSTAP算法需要对连续空时二维平面进行离散化处理,将空时二维平面划分为很多细小的网格,由于真实的杂波在空时平面上是连续分布的,同时考虑雷达接收信号中噪声、系统参数误差等因素的影响,真实杂波点与离散化网格点之间一定存在着偏差,会造成网格失配现象,导致SR-STAP算法杂波抑制性能下降。针对此问题,本文提出了基于自适应字典校正的稀疏恢复STAP算法。该算法首先通过子空间投影法筛选出与杂波最相关的原子;然后围绕选定原子由粗到细进行自适应局部网格划分,按照局部网格迭代选优准则,不断调整选择局域内的最优原子,直到满足迭代终止条件,以匹配真实的杂波点;最后利用选定的最优原子对应的空时导向矢量构造杂波子空间,更新噪声子空间上与杂波子空间正交的投影矩阵得到STAP权值。仿真实验表明,所提算法与传统SR-STAP算法相比,具有更高的稀疏恢复精度,更快的运行速度,改善了STAP性能。

利用熵权TOPSIS和遗传算法的焊接单元划分方法

在充分分析焊接工艺特性的基础上,以降低焊接序列规划和焊接工位分配难度为目标,综合考虑单元间的平衡问题和单元复杂度问题,提出一种利用熵权TOPSIS法和遗传算法实现焊接单元合理划分的方法。首先,根据最佳单元划分公式确定基础件数量范围;其次,以零件的质量、体积、表面积、零件连接数量、焊缝数量、焊缝体积为评价指标,通过熵权TOPSIS法确定基础件;然后,以单元稳定性、单元平衡性和单元复杂度为优化目标,利用遗传算法得到不同单元数量时的最佳单元划分方案,通过对比分析确定最佳单元划分方案,实现焊接单元的科学合理划分;最后,以某车型前副车架为例进行验证,结果表明该方法快速、合理、有效,能够满足实际的工程需求。

基于网格划分的老城区公园景观组合设计方法

为了提高景观配置效率,提出基于网格划分的老城区公园景观建设组合设计方法.数字影像内定向原始景观图像以生成正射影像模型,通过梯度分解提取边缘信息完成图像采样.结合空间区域特征匹配方程优化提取多维度景观数据,构建多维度景观图像的动态特征分布模型,在此基础上划分景观区域网格,并结合景观特征属性解析结果实现景观建设组合设计.通过城市公园的景观设计表明,所提方法能够有效提高景观配置效率,景观设计的规划效果较好.

CRH5动车组牵引脉冲整流器自适应优化控制方法研究

针对CRH5动车组牵引主回路脉冲整流器在牵引网压波动下的稳定性问题,提出一种基于自抗扰算法的参数自适应优化控制策略。在CRH5动车组牵引脉冲整流器现采用的dq双环控制结构基础上,针对电流内环采用最速综合fal函数实现控制响应及控制量大小随误差变化自适应调整,基于状态空间方程构建一阶线性自抗扰电压外环控制器以实现对系统扰动的观测及跟踪。由此改善控制器对外部扰动的估计及补偿能力,增强控制器对车网耦合特性变化的适应能力。通过Matlab/Simulink仿真对比分析了基于PID控制和基于参数自适应优化控制的dq电流控制器性能,仿真结果表明,基于参数自适应的dq电流优化控制策略下的整流器直流侧输出电压在启动过程中超调量更小,且在应对网压波动时输出电压波动恢复后的稳态误差小于指标值的1/6,抗干扰能力更强。为进一步验证该控制器应对网压低频振荡的抗扰动效果,在RT-LAB半实物实验平台上搭建动车组-牵引网级联耦合模型对比分析2种控制策略下的牵引网网压波形。结果表明:基于参数自适应的dq电流优化控制更能适应多列动车组同时接入而引发的扰动,抑制牵引网网压大幅度振荡;fal电流环的参数自适应特性能改善控制器动态特性,可根据瞬态误差及时调整控制器响应,且其控制参数适应范围较宽,易于整定。

基于PCA-ShapeDTW-QWGRU的分布式光伏集群短期功率预测

针对分布式光伏短期功率预测建立基于主成分分析、改进的动态时间规整算法与量子加权门控循环单元(PCAShapeDTW-QWGRU)的集群功率预测模型。针对集群划分不够精细、光伏电站数据蕴含的信息难以捕捉的问题,提出基于主成分分析结合密度聚类算法(PCA-OPTICS)的集群划分方法;针对目前选取代表电站与集群相似性较低的问题,提出基于改进的动态时间规整算法(ShapeDTW)的代表电站的选取方法,利用ShapeDTW度量相似性距离,选取最小值作为代表电站,并利用基于均方根传播梯度下降法优化的量子加权门控循环单元(RMSprop-QWGRU)模型进行预测;为了解决代表电站与集群功率的变换系数转换差异较大的问题,采用实时变换系数对代表电站进行集群功率值预测计算。实验结果表明,所提方法能有效提升光伏集群功率预测的精度。

基于网格化和雷达图的建筑抗震设防最优烈度决策模型研究

目前的建筑抗震设防最优烈度研究主要是从经济性或安全性进行考虑,然而合理的建筑抗震设防最优烈度需要综合考虑经济和安全性指标。本文将研究区域进行网格化,结合其周围历史地震数据进行地震危险性分析,以经济性指标和安全性指标作为抗震设防最优烈度评价指标;运用博弈论组合赋权法确定各指标权重,建立基于网格化和雷达图的建筑抗震设防最优烈度决策模型,将该模型运用到四川省崇州市钢混结构和砖混结构的抗震设防研究中。通过对比分析该模型数据发现:钢混结构按8度设防时,相比于6度、7度和9度设防,其抗震设防综合效益分别提升57.2%、29.6%和3.9%;砖混结构按8度设防时,相比于未设防、6度、7度和9度设防的抗震设防综合效益分别提升60.6%、19.2%、2.4%和1.9%。因此,崇州市钢混结构和砖混结构按8度设防时,为最优抗震设防烈度,抗震设防综合效益最佳,验证了该模型的有效性。

基于联络馈线负载率松弛约束的中压配电网供电单元划分

当前中压配电网供电单元划分时未能充分考虑相互联络馈线间所供负荷的互补特性,易造成供电单元数量偏多、整体线路利用效率偏低等问题,为此提出了一种基于负载率松弛约束的供电单元划分方法。构建了以供电单元数量最少、各供电单元内N-1校验后转供馈线负载率均衡为目标的中压配电网供电单元划分数学模型;解析了网格中站内供电单元与站间供电单元之间的划分次序问题,并提出了基于馈线负载率松弛约束的站间供电单元划分方法及以此为基础的站内供电单元划分方法。通过实例分析验证所提模型和方法可以对供电单元进行合理划分,节约变电站出线条数与供电单元数量,有效提高配电线路的资产利用效率。

构网型柔性直流系统阻尼环节控制策略优化研究

采用构网控制的柔性直流输电系统可模拟同步电机运行特性,为电网提供频率和电压支撑,而传统的功率同步型构网控制阻尼环节引入了调频功能,使柔直功率输出随电网频率变化而波动。该文基于同步发电机调频和阻尼环节的机理辨析,提出了功率同步型构网控制阻尼环节改进方法,可同时满足并网运行稳态功率精准控制和频率突变的阻尼需求,并基于小信号稳定分析给出了控制参数设计原则,基于电磁暂态仿真平台以及渝鄂柔性直流工程现场试验验证了改进策略的有效性。

新一代低压直流供用电系统多工作模式下能量协调控制策略

新一代低压直流供用电系统(low voltage direct current supply and utilization system,LVDCSUS)强调了可再生能源的消纳以及直流用户侧电能产–销–储–用之间的协调统一,为推动直流用户侧灵活参与电力系统运行提供了全新思路。开展LVDCSUS用户侧电能的使用与生产相结合的研究,可有效挖掘直流用户侧的多元化电能资源灵活供给能力,为此该文首先依据LVDCSUS系统能量平衡关系将系统划分为全直流运行、余电上网运行、交流支撑运行3种运行模式;进而给出各模式下满足直流母线电压稳定、储能荷电状态均衡、灵活性电力资源利用三方面整体要求的协调策略;最后建立了多运行模式切换规则,实现通过切换多种运行模式改变能量协调控制策略,使LVDCSUS在稳定运行状态下主动参与电力系统能量互动。仿真结果验证了LVDCSUS多运行模式控制策略的有效性和可靠性。

水电机组轴系-调速耦合系统动态特性分析

水电机组轴系-调速耦合系统动态特性尚未揭示,制约机组调节优化控制。为此,建立了水电机组不同运行模式轴系-调速耦合系统非线性数学模型,研究分析了耦合系统的非线性动态响应特性。首先,采用Hopf分岔理论分析调速系统稳定域和分岔特性。进一步,仿真分析机组不同运行模式轴系-调速耦合系统的时频动态响应特性。结果表明:机组孤网和并网运行调速系统均存在超临界Hopf分岔,机组并网模式调速器参数稳定域较孤网模式增大。机组并网模式调速系统机组、电网频率动态响应存在多频特性,轴系振动会引发调压室水位动态响应超超低频振荡。并网与孤网模式相比并网模式系统动态响应超调量增大,调节时间缩短。机组孤网和并网运行轴系振动均为多频拟周期振动,但孤网模式轴系振动特性更复杂。

不同降雨工况条件下的崩滑地质灾害危险性评价

为针对性地采取预防、避让、治理等地质灾害防治与管控提供依据,完善在地质灾害危险性评价中将降雨作为单一诱发因子参与评价体系的弊端,在大雨、暴雨、大暴雨和特大暴雨4种不同降雨工况条件下进行了研究区崩滑地质灾害危险性评价。以云南省元阳县作为研究区域,以栅格单元作为评价单元,选取地貌类型、高程、坡度、坡向、曲率、工程地质岩组、土地利用类型、断层距离和河流距离9个评价因子,采用主观的层次分析法与客观的信息量模型相结合的加权信息量模型对元阳县崩塌、滑坡进行了地质灾害易发性评价。研究结果表明:基于自然间断点法元阳县域可分为低、中、高、极高4类易发区,4类易发区面积分别占元阳县面积的21.55%,35.46%,25.53%和17.16%。利用ROC曲线得出区划结果精度AUC值为0.812,表明区划结果很好。在易发性评价基础上,以年平均最大日降雨量为诱发因素,分别对大雨、暴雨、大暴雨和特大暴雨4种工况条件下的研究区进行了崩塌、滑坡地质灾害危险性评价,得到了大雨([25,50) mm)工况、暴雨([50,100) mm)工况、大暴雨([100,250]mm)工况和特大暴雨(>250 mm)工况4种条件下基于极值假设的研究区崩滑地质灾害危险性评价结果,并对不同降雨工况条件下的地质灾害危险性评价结果进行了对比分析,确定了地质灾害危险性评价结果在不同降雨条件下的空间合理性。通过与实际调查结果的对比表明,4种不同降雨工况条件下的崩滑地质灾害危险性评价结果与实际高度吻合,说明评价结果具有较高的可靠性与合理性。