Mathematical model of electric hydraulic and powered support control system at a plough mining face

Given the actual working of a fully mechanized plough at a mining face, we have proposed a formula for running constraints between powered supports and a coal plough under assumed geological conditions of the coal face and, on this basis, established an automatic control model of powered supports for the coal plough face. We introduced the working principle of the powered support control system of the plough at the mining face. We established three advanced characteristics of this control system： response speed, reliability and easy maintenance of the system. As well, we briefly introduced, the principal function of primary and subordinate controllers and the realization of the communication system by a Single Bus. Ten controllers were constructed and tested in our laboratorium. The results show that the control model is practical and meets actual conditions. It provides a theoretical basis for designing a comouter control system for a oowered support system of a plough at a mining face.

Experimental study of a technique for load measurement of powered supports

Despite the increasing popularity of mechanized coal mining, there are no convenient and accurate means available to measure the loads of powered supports. The measurement of such loads is important for monitoring mine pressure and ensuring production safety. The load-carrying features of a powered support were used to develop a method for load measurement using the mag-netoelastic principle. A cross bridge-type magnetoelastic stress sensor was designed for the support structures to measure the different parts of the supports. Tests on single-body hydraulic cylinders and simulated linkages showed that an approximately linear relationship between the values of the sensor output signal and the loads borne by the hydraulic cylinders or linkages. The results were used to analyze the load-carrying measurements of powered supports with the cross bridge-type magnetoelastic stress sensor.

Methods for measuring and calculating the external load of powered supports

Taking the chock shield supports as the object of study, methods formeasuring and calculating the external load of powered supports were discussed. Selecting the angleparameters as variables, the simple formulae of interactive computation with respect to the workangles of a powered support were deduced and verified by an example. Furthermore, the formulaedetermining the magnitude, direction and action point of the external load were put forward. Theinvestigation results have provided a sound basis for the software design of the intelligentinstrument for load measuring of powered supports.

Influence of canopy ratio of powered roof support on longwall working stability——A case study

The case study describes longwall coal seam A in a hard coal mine,where longwall coal face stability loss and periodic roof fall occurrences had been registered.The authors have attempted to explain the situation based on in-situ measurements and observations of the longwall working as well as numerical simulation.The calculations included several parameters,such as powered roof support geometry in the form of the canopy ratio,which is a factor that influences load distribution along the canopy.Numerical simulations were realized based on a rock mass model representing realistic mining and geological conditions at a depth of 600 m below surface for coal seam A.Numerical model assumptions are described,while the obtained results were compared with the in-situ measurements.The conclusions drawn from this work can complement engineering knowledge utilized at the stage of powered roof support construction and selection in order to improve both personnel safety and longwall working stability,and to achieve better extraction.

FLUID INDUCED HYDRAULIC SYSTEM VIBRATIONOF POWERED SUPPORT

Fluid and solid interaction analysis of hydraulic support under the coming pressure of roof rocks was presented. The mathematical model of the system was proposed and numerical studies by the character line method were carried out.

Automatic lifting system design and application of large load powered support test rig

This paper presented a design of an automatic lifting system. It is used for large load powered support and improves the old method wherein powered support lifting depends on manual control. This system applies a high accuracy gear shunt motor to match the flow for 4 lifting cylinders, and also allocates bypass throttles to realize automatic lifting. Through the dis- placement sensor feedback the height deviation among 4 lifting cylinders during the whole lifting process, when the deviation is up to the sitting value, the corresponding bypass throttle is operated immediately to reduce the deviation, so that the moving platform of the powered support would not be stuck. Through real application, it is shown that this system can realize automatic lifting of powered support; the lifting speed is controlled between 5 and 10 mm/s, and the final aligning accuracy is up to 1 mm.

Maximal loads acting on legs of powered roof support unit in longwalls with bumping hazards

In the article the results of measurements of the resultant force in the legs of a powered roof support unit, caused by a dynamic interaction of the rock mass, are discussed. The measurements have been taken in the longwalls mined with a roof fall, characterized by the highest degree of bumping hazard. It has been stated that the maximal force in the legs F m, recorded during a dynamic interaction of the rock mass, is proportional to the initial static force in the legs F st,p . Therefore a need for a careful selection of the initial load of the powered roof support, according to the local mining and geological conditions, results from such a statement. Setting the legs with the supporting load exceeding the indispensable value for keeping the direct roof solids in balance, deteriorating the operational parameters of a longwall system also has a disadvantageous influence on the value of the force in the legs and the rate of its increase, caused by a dynamic interaction of the rock mass. A correct selection of the initial load causes a decrease in the intensity of a dynamic interaction of the rock mass on powered roof supports, which also has an advantageous influence on their life. Simultaneously with the measurements of the resultant force in the legs, the vertical acceleration of the canopy was also recorded. It has enabled to prove that the external dynamic forces may act on the unit both from the roof as well as from the floor. The changes of the force in the legs caused by dynamic phenomena intrinsically created in the roof and changes of the force in the legs caused by blasting explosives in the roof of the working, have been analyzed separately. It has been stated that an increase in the loads of legs, caused by intrinsic phenomena is significantly higher than a force increase in the legs caused by blasting. It means that powered roof supports, to be operated in the workings, where the bumping hazard occurs, will also transmit the loads acting on a unit during blasting. The majority of recorded force changes in the legs has been caused by a dynamic interaction of the roof. They are characterized by a load increase coefficient K d, satisfying the inequality 1 06<K d =F m /F st,p <1 24. A much smaller number of cases, when the external load acted on the bases, was recorded. Individual, recorded results of measurements indicate that changes of the force in the legs, caused by external loads of this type, run more intensively due to roof loads (1 08< K d<1 80),particularly in these cases when the near the roof layer of the seam is under mining. A determination of more precise relations among the changes of forces in the legs, caused by a dynamic interaction of the floor and the bases and the mining and geological conditions requires a performance of additional underground tests.

Predicting of Power Quality Steady State Index Based on Chaotic Theory Using Least Squares Support Vector Machine

An effective power quality prediction for regional power grid can provide valuable references and contribute to the discovering and solving of power quality problems. So a predicting model for power quality steady state index based on chaotic theory and least squares support vector machine (LSSVM) is proposed in this paper. At first, the phase space reconstruction of original power quality data is performed to form a new data space containing the attractor. The new data space is used as training samples for the LSSVM. Then in order to predict power quality steady state index accurately, the particle swarm algorithm is adopted to optimize parameters of the LSSVM model. According to the simulation results based on power quality data measured in a certain distribution network, the model applies to several indexes with higher forecasting accuracy and strong practicability.

社会支持理论视域下中国式现代化体育发展的现实之困与纾解之策

中国式现代化体育是为满足全体人民体育需要,从传统体育向现代体育发展转向的具有中国特色的社会主义体育现代化。现代化已成为我国体育事业发展新诉求、新目标、新征程,加快推进中国式现代化体育发展是促进中国式现代化的必然选择。运用文献资料法与逻辑分析法,基于社会支持系统四要素“主体—客体—内容—手段”为逻辑主线,分析中国式现代化体育发展的现实困境。研究认为:主体供给乏力制约中国式现代化体育支持网络的形成,客体动力不足制约中国式现代化体育的普遍参与,支持内容贫乏阻滞中国式现代化体育的全面发展,支持手段有限阻碍中国式现代化体育的社会联结。实现多元主体支持,为中国式现代化体育供给提供有效保障;提升客体参与动力,为中国式现代化体育参与提供内生动力;丰富内容体系构建,为中国式现代化体育发展创造良好条件;改善社会支持手段,为中国式现代化体育发展提供关键支撑等纾解策略。

Application of Slantlet Transform Based Support Vector Machine for Power Quality Detection and Classification

Concern towards power quality (PQ) has increased immensely due to the growing usage of high technology devices which are very sensitive towards voltage and current variations and the de-regulation of the electricity market. The impact of these voltage and current variations can lead to devices malfunction and production stoppages which lead to huge financial loss for the production company. The deregulation of electricity markets has made the industry become more competitive and distributed. Thus, a higher demand on reliability and quality of services will be required by the end customers. To ensure the power supply is at the highest quality, an automatic system for detection and localization of PQ activities in power system network is required. This paper proposed to use Slantlet Transform (SLT) with Support Vector Machine (SVM) to detect and localize several PQ disturbance, i.e. voltage sag, voltage swell, oscillatory-transient, odd-harmonics, interruption, voltage sag plus odd-harmonics, voltage swell plus odd-harmonics, voltage sag plus transient and pure sinewave signal were studied. The analysis on PQ disturbances signals was performed in two steps, which are extraction of feature disturbance and classification of the dis- turbance based on its type. To take on the characteristics of PQ signals, feature vector was constructed from the statistical value of the SLT signal coefficient and wavelets entropy at different nodes. The feature vectors of the PQ disturbances are then applied to SVM for the classification process. The result shows that the proposed method can detect and localize different type of single and multiple power quality signals. Finally, sensitivity of the proposed algorithm under noisy condition is investigated in this paper.

Fault diagnosis of power-shift steering transmission based on multiple outputs least squares support vector regression

A method of multiple outputs least squares support vector regression （LS-SVR） was developed and described in detail, with the radial basis function （RBF） as the kernel function. The method was applied to predict the future state of the power-shift steering transmission （PSST）. A prediction model of PSST was gotten with multiple outputs LS-SVR. The model performance was greatly influenced by the penalty parameter γ and kernel parameter σ2 which were optimized using cross validation method. The training and prediction of the model were done with spectrometric oil analysis data. The predictive and actual values were compared and a fault in the second PSST was found. The research proved that this method had good accuracy in PSST fault prediction, and any possible problem in PSST could be found through a comparative analysis.

新能源场站快速频率支撑能力评估研究现状与技术展望

随着以风电、光伏为代表的新能源发电逐步取代同步机组,系统调频资源不足、抗扰动能力下降,频率安全问题凸显,新能源场站提供快速频率支撑成为构建新型电力系统的必然要求。新能源场站快速频率支撑是其内部多设备、多环节综合作用的结果,受风光资源、控制策略、电网条件等多因素的影响和制约。量化评估新能源场站的快速频率支撑能力是指导场站调频优化控制、分析新型电力系统频率响应特性、实现场站调频资源与电网交互的基础和前提。文中对新能源场站快速频率支撑能力评估问题进行了全面综述。首先,分析场站快速频率支撑的特征,并给出了场站快速频率支撑能力的定义;然后,从状态属性、控制特性、调频效果3个维度梳理了场站快速频率支撑能力的评估指标体系,并对各类评估指标的常用计算方法进行分析评述;最后,提出了值得关注和进一步研究的关键技术问题。

臂式离心机机室空气内摩擦功率及支座摩擦系数的实验反演分析

为了提高臂式离心机驱动功率的预估精度,对工程解析计算方法中几个前提参数(即机室空气内摩擦发热消耗功率与总风阻功率之比C_(1)、机室内空气从出风口自然流出的线速度与其环向线速度之比C_(2)、支座的摩擦系数f_(e))的确定方法进行了研究。首先,针对一台臂式离心机以四种不同转速稳定运行的状态,利用离心机控制系统,读取了四组驱动电枢电压U和电枢电流I数据,采用三杯仪测试了四个空气从出风口流出的线速度V_(0)数据;然后,根据离心机风阻功率、排风功率和支座摩擦功率的解析理论表达式、能量守恒原理,建立了含待定系数C_(1)、C_(2)、f_(e1)和f_(e2)的关于U、I和V_(0)的求解方程,并将四组实测数据U、I和V_(0)代入所建方程,得到了关于系数C_(1)、C_(2)、f_(e1)和f_(e2)的求解方程组;最后,将所得C_(1)、C_(2)、f_(e1)和f_(e2)的值用于计算另一台类似臂式离心机的驱动功率。研究结果表明:所得驱动功率的计算结果比实测结果大2.23%,而以前依据经验取定C_(1)、C_(2)和f_(e)时的计算结果比实测结果小6.30%。对应用实例的综合分析表明:所建方法可弥补这些参数在以前的工程计算中,其取值缺乏实验依据的不足,提高这些参数的取值准确性和臂式离心机驱动功率的预估精度。

微电网对称故障条件下差异性潮流补偿控制策略

独立微电网负荷侧发生故障将导致故障区域功率供需失衡及电压跌落,在具有较高馈线阻感比的微电网中采用传统无功补偿的方法并不能有效解决上述问题。为此,提出一种基于微源馈线阻抗的差异性潮流补偿控制策略,即利用微源冗余功率增加有功功率输出补偿故障区域所需潮流,以改善故障区域功率平衡并抑制电压跌落,同时基于各微源馈线阻抗的差异性计算潮流补偿系数并根据故障区域所需功率动态调整潮流补偿参考值,以优化故障潮流分布并减少馈线损耗。最后,通过仿真和实验验证所提控制策略的有效性。

A Decision Support System for Selection of Solar Power Plant Locations by Applying Fuzzy AHP and TOPSIS: An Empirical Study

The objective of this research is to propose a decision support system for avoiding flood on solar power plant site selection. Methodologically, the geographic information system (GIS) is used to determine the optimum site for a solar power plant. It is intended to integrate the qualitative and quantitative variables based upon the adoption of the Fuzzy Analytic Hierarchy Process (Fuzzy AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) model. These methods are employed to unite the environmental aspects and social needs for electrical power systematically. Regarding a case study of the choice of a solar power plant site in Thailand, it demonstrates that the quantitative and qualitative criteria should be realized prior to analysis in the Fuzzy AHP-TOPSIS model. The fuzzy AHP is employed to determine the weights of qualitative and quantitative criteria that can affect the selection process. The adoption of the fuzzy AHP is aimed to model the linguistic unclear, ambiguous, and incomplete knowledge. Additionally, TOPSIS, which is a ranking multi-criteria decision making method, is employed to rank the alternative sites based upon overall efficiency. The contribution of this paper lies in the evolution of a new approach that is flexible and practical to the decision maker, in providing the guidelines for the solar power plant site choices under stakeholder needs: at the same time, the desirable functions are achieved, in avoiding flood, reducing cost, time and causing less environmental impact. The new approach is assessed in the empirical study during major flooding in Thailand during the fourth quarter of 2011 to 2012. The result analysis and sensitivity analysis are also presented.

关于白城市光伏发电产业发展与金融支持的调研报告

当前,我国实现2030年前碳排放量达峰和努力争取2060年前碳中和的目标任务艰巨,需要进一步加快发展光伏发电等可再生能源。对此,本文在对白城市金融支持光伏发电产业调查的基础上,分析研究金融支持白城市光伏发电产业发展过程中存在的问题,探讨金融支持白城市光伏发电产业发展的建议。

汉魏六朝尚方职能及其与皇权关系

汉晋时期,尚方隶属少府,主要为皇帝和宫廷制器。南北朝时期,尚方机构及其职能发生变化,但南朝与北朝又有差异。南朝左尚方负责王朝军械制作,右尚方仍为宫廷制器。左尚方制军械,改变了尚方的“私奉养”性质。北朝自魏孝文帝以来,尚方改隶太府,被纳入朝廷财政体系,制器不再仅供皇帝和宫廷使用。南北朝尚方及其职能变化,虽不尽一致,但尚方“私奉养”色彩皆渐淡化。不过,汉晋六朝尚方一直具有为皇帝和宫廷制器的职责。尚方制器被称作“御器物”“禁器物”,成为皇帝与臣民身份差异的外在体现,堪称皇权的物质象征。历朝通常禁止臣民私求或仿造尚方器物,但魏晋以降,因皇权衰落,管控力度减弱。

基于桨距角控制的永磁风电机组高电压穿越控制策略

为解决传统永磁风电机组高电压穿越控制策略存在超速脱网风险问题,提出一种基于桨距角控制的高电压穿越控制策略。高电压穿越期间,首先,按照并网要求向电网提供无功支撑;其次,考虑转子转速限制,当转子转速达到参考值时启动桨距角控制,抑制转子转速上升;最后,通过仿真试验,验证了所提控制策略的有效性。基于桨距角控制的永磁风电机组高电压穿越控制策略,既能向电网提供无功支撑,又能避免超速脱网。

EMS Supporting System for Dispatching Automation in Northeast Power Network

The EMS supporting system of thesecond phase extension project for NortheastElectric Network dispatching automationsystem, co-developed by Electric PowerResearch Institute. Ministry of ElectricPower, and Northeast China Electric PowerGroup, is an open type, object oriented CC-2000 EMS/DMS supporting system withChinese proprietary copyright and anadvanced international level. It passed thetechnical appraisal of Ministry of ElectricPower in Oct. 1996. This EMS supportingsystem includes four parts f managementenvironment of the system operation.database management system. big object forpower system, man-machine interface. Theexperience of developing and operationindicates that the EMS supporting system haspowerful functions, the performance index isvery high, the operation is stable and reliable.the ability of supporting EMS/DMS is morepowerful than the first phase system. Thedevelopment work of the super applicationsoftware of Northeast Power Network EMS(Energy Management System) will befinished in 1997 on the supporting system.thereby an integrated and open EMS of ourcountry’s own copyright will be completed.

Optimized Complex Power Quality Classifier Using One vs. Rest Support Vector Machines

Nowadays, power quality issues are becoming a significant research topic because of the increasing inclusion of very sensitive devices and considerable renewable energy sources. In general, most of the previous power quality classification techniques focused on single power quality events and did not include an optimal feature selection process. This paper presents a classification system that employs Wavelet Transform and the RMS profile to extract the main features of the measured waveforms containing either single or complex disturbances. A data mining process is designed to select the optimal set of features that better describes each disturbance present in the waveform. Support Vector Machine binary classifiers organized in a “One Vs Rest” architecture are individually optimized to classify single and complex disturbances. The parameters that rule the performance of each binary classifier are also individually adjusted using a grid search algorithm that helps them achieve optimal performance. This specialized process significantly improves the total classification accuracy. Several single and complex disturbances were simulated in order to train and test the algorithm. The results show that the classifier is capable of identifying >99% of single disturbances and >97% of complex disturbances.