Research on Equivalent Modeling Method of AC-DC Power Networks Integrating with Renewable Energy Generation

Along with the increasing integration of renewable energy generation in AC-DC power networks,investigating the dynamic behaviors of this complex system with a proper equivalent model is significant.This paper presents an equivalent modeling method for the AC-DC power networks with doubly-fed induction generator(DFIG)based wind farms to decrease the simulation scale and computational burden.For the AC-DC power networks,the equivalent modeling strategy in accordance with the physical structure simplification is stated.Regarding the DFIG-based wind farms,the equivalent modeling based on the sequential identification of multi-machine parameters using the improved chaotic cuckoo search algorithm(ICCSA)is conducted.In light of the MATLAB simulation platform,a two-zone four-DC interconnected power grid with wind farms is built to check the efficacy of the proposed equivalentmodelingmethod.Fromthe simulation analyses and comparative validation in different algorithms and cases,the proposed method can precisely reflect the steady and dynamic performance of the demonstrated system under N-1 and N-2 fault scenarios,and it can efficiently achieve the parameter identification of the wind farms and fulfill the equivalent modeling.Consequently,the proposed approach’s effectiveness and suitability are confirmed.

Equivalence of Network-Solution and PPP-Solution

The technique of precise point positioning (PPP) is gradually becoming a popular method in GPS data-processing. In GPS observation equation, the unknown parameters can be separated into two parts: global parameters and local parameters. The global parameters include orbit, satellite clock and geodynamic parameters. The local parameters are site-occupation-specific, such as position, tropospheric delay, etc. The formulas of local parameters are firstly derived under the network-solution and the PPP-solution conditions respectively. If the weight matrix of global parameters in PPP-solution is small enough, the cofactor matrices of local parameters are the same as that in network-solution. Then, 16 daily solutions are obtained in both PPP mode and network mode. Three sites are selected to compare the solutions. The experimental results demonstrated that the difference between two solutions in coordinates and tropospheric delays are only few millimeters. This level of difference can be neglected so that the solutions from both PPP mode and network mode can be taken as the same in the actual application.

Frequency Dependent Network Equivalent for Electromagnetic and Electromechanical Hybrid Simulation

频率相关网络等值（frequency dependent network equivalent，FDNE）不仅可以表示网络的基频响应特性，而且还可以表示网络的高频响应特性，从而能够应对电磁暂态、机电暂态混合仿真中的接口波形畸变问题。基于简化元件模型介绍FDNE的频率特性采样值的求取方法；应用矢量拟合法将上述频率特性采样值整体拟合成一个FDNE，并采用摄动法保证了此FDNE的无源性。最后，用多个算例说明基于FDNE的电磁—机电暂态混合仿真方法的精度及其优势。

Implementation of Radial Basis Function Artificial Neural Network into an Adaptive Equivalent Consumption Minimization Strategy for Optimized Control of a Hybrid Electric Vehicle

Continued increases in the emission of greenhouse gases by passenger vehicles have accelerated the production of hybrid electric vehicles. With this increase in production, there has been a parallel demand for continuously improving strategies of hybrid electric vehicle control. The goal of an ideal control strategy is to maximize fuel economy while minimizing emissions. Methods exist by which the globally optimal control strategy may be found. However, these methods are not applicable in real-world driving applications since these methods require a priori knowledge of the upcoming drive cycle. Real-time control strategies use the global optimal as a benchmark against which performance can be evaluated. The goal of this work is to use a previously defined strategy that has been shown to closely approximate the global optimal and implement a radial basis function (RBF) artificial neural network (ANN) that dynamically adapts the strategy based on past driving conditions. The strategy used is the Equivalent Consumption Minimization Strategy (ECMS), which uses an equivalence factor to define the control strategy and the power train component torque split. An equivalence factor that is optimal for a single drive cycle can be found offline with a priori knowledge of the drive cycle. The RBF-ANN is used to dynamically update the equivalence factor by examining a past time window of driving characteristics. A total of 30 sets of training data (drive cycles) are used to train the RBF-ANN. For the majority of drive cycles examined, the RBF-ANN implementation is shown to produce fuel economy values that are within ±2.5% of the fuel economy obtained with the optimal equivalence factor. The advantage of the RBF-ANN is that it does not require a priori drive cycle knowledge and is able to be implemented in real-time while meeting or exceeding the performance of the optimal ECMS. Recommendations are made on how the RBF-ANN could be improved to produce better results across a greater array of driving conditions.

Equivalent sample theory of networked control systems and its application

The equivalent sample theory and its application in analysis of networked control system （NCS） are presented. After analyzing NCS＇s scheduling in master-slave mode, the characteristics of time delay and sample are summarized. Looking on master station visiting the slave station as a special sample process, the theory of equivalent sample is presented. And based on it, the stability of a kind of NCS is analyzed. The criterion to determine the upper bound of transmission delay is introduced, which guarantees the stability. Finally, an example with simulation shows the availability and usability of this analysis method.

VARIATIONAL METHOD TO ANALYZE THE EQUIVALENT NETWORK OF A RECTANGULAR DIELECTRIC POST IN A RECTANGULAR WAVEGUIDE

The equivalent filter modeling of a rectangular dielectric post in a rectangular waveguide is obtained through the variational expression of input impedance. The reflection coefficient expressed in components of network is in good agreement with the results given by K. Siakavara, et al. (1991), The method can be applied to design filter.

REALIZATION OF ARBITRARY TRANSFER MATRIX WITH ACTIVE MULTI-PORT NETWORK

A new simple method in which arbitrary transfer function matrix is realized withactive multiple port network instead of computer simulating is proposed. The active multipleport network is carried on through state feedback and state cross output for RC ladder network.The main process is to determine coefficients of each adder. Finally, an example is given forillustration.

Analysis of Permanent Magnet-assisted Synchronous Reluctance Motor Based on Equivalent Reluctance Network Model

In this paper,the equivalent reluctance network model(ERNM)is used to calculate the magnetic circuit of a permanent magnet-assisted synchronous reluctance motor(PMASynRM)and calculate no-load air-gap magnetic field and electromagnetic torque.Iteration method is used to solve the relative permeability of iron core.A novel reluctance network model based on actual distribution of the magnetic flux inside the motor is established.The magnetomotive force(MMF)generated by armature winding affects the relative permeability of iron core,which is considered in the calculation of ERNM to improve the accuracy when the motor is under load.ERNM can be used to measure air-gap flux density,no-load back electromotive force(EMF),the average value of motor torque,the armature winding voltage under load,and power factor.The method of calculating the motor performance is proposed.The results of calculation are consistent with finite element method(FEM)and the computational complexity is much less than that of the FEM.The results of ERNM has been verified,which will provide a simple method for motor design and analysis.

ROUTING AND WAVELENGTH ASSIGNMENT ALGORITHMS BASED ON EQUIVALENT NETWORKS

In this paper, a Wavelength Division Multiplexing (WDM) network model based on the equivalent networks is described, and wavelength-dependent equivalent arc, equivalent networks, equivalent multicast tree and some other terms are presented. Based on this model and relevant Routing and Wavelength Assign- ment (RWA) strategy, a unicast RWA algorithm and a multicast RWA algorithm are presented. The wave- length-dependent equivalent arc expresses the schedule of local RWA and the equivalent network expresses the whole topology of WDM optical networks, so the two algorithms are of the flexibility in RWA and the optimi- zation of the whole problem. The theoretic analysis and simulation results show the two algorithms are of the stronger capability and the lower complexity than the other existing algorithms for RWA problem, and the complexity of the two algorithms are only related to the scale of the equivalent networks. Finally, we prove the two algorithms’ feasibility and the one-by-one corresponding relation between the equivalent multicast tree and original multicast tree, and point out the superiorities and drawbacks of the two algorithms respectively.

Multi-domain equivalent method for prediction of elastic modulus of complex fractured rock mass

Reliable estimation of deformation and failure behaviors of fractured rock mass is important for practical engineering design.This study proposes a multi-domain equivalent method for fracture network to estimate the deformation properties of complex fractured rock mass.It comprehends both the advantages of the discrete fracture network model and the equivalent continuum model to capture the features of discontinuities explicitly while reducing computational intensity.The complex fracture network is stochastically split into a number of subfracture networks according to the domain,length or angle.An analytical solution is derived to infer theoretically the relationship between the elastic moduli of the original complex fractured rock mass and the split subfractured rock masses by introducing a correction term based on the deformation superposition principle.Numerical simulations are conducted to determine the elastic moduli of split subfractured rock masses using universal distinct element code(UDEC),while the elastic modulus of the original model is estimated based on the currently proposed analytical relationship.The results show that the estimation accuracy with the current domainbased splitting model is far superior compared to those with the other two splitting models.Thus,the estimation method of elastic modulus of complex fractured rock mass based on domain splitting mode of fracture network is identified as the multi-domain equivalent method proposed in this paper.The reliability of this method is evaluated,and its high computational efficiency is demonstrated through exemplification with regard to different geometric configurations for stochastically artificial discrete fracture network.The proposed multi-domain equivalent method constructs the theoretical framework except for the regression analysis hypothesis compared to the density-reduced model equivalent method.

A General Study on Equivalent Resistance of Three-Terminal Ladder Network

In view of the application importance of resistance network in modern science and technology, this paper presents the basic structure of a three terminals ladder shaped resistance network, for which, to study in- depth the equivalent resistance, carry out network analysis by applying virtual current method and construct a model of two elements three orders differential equation. Based on different marginal conditions, two general adaptive rules for the three-terminal ladder shaped inlet resistance, as well as two ultimate rules for the equiva- lent resistance of three-terminal infinite ladder shaped were given.

Estimation of equivalent internal-resistance of PEM fuel cell using artificial neural networks

A practical method of estimation for the internal-resistance of polymer electrolyte membrane fuel cell (PEMFC) stack was adopted based on radial basis function (RBF) neural networks. In the training process, k-means clustering algorithm was applied to select the network centers of the input training data. Furthermore, an equivalent electrical-circuit model with this internal-resistance was developed for investigation on the stack. Finally using the neural networks model of the equivalent resistance in the PEMFC stack, the simulation results of the estimation of equivalent internal-resistance of PEMFC were presented. The results show that this electrical PEMFC model is effective and is suitable for the study of control scheme, fault detection and the engineering analysis of electrical circuits.

融合工况预测的燃料电池汽车里程自适应等效氢耗最小控制策略

为有效地提高插电式燃料电池汽车的经济性,实现燃料电池和动力电池的功率最优分配,考虑到行驶工况、电池荷电状态(State of charge,SOC)、等效因子与氢气消耗之间的密切联系,制定融合工况预测的里程自适应等效氢耗最小策略.通过基于误差反向传播的神经网络来实现未来短期车速的预测,分析未来车辆需求功率变化,同时借助全球定位系统规划一条通往目的地的路径,智能交通系统便可获取整个行程的交通流量信息,利用行驶里程和SOC实时动态修正等效消耗最小策略中的等效因子,实现能量管理策略的自适应性.基于MATLAB/Simulink软件,搭建整车仿真模型与传统的能量管理策略进行仿真对比验证.仿真结果表明,采用基于神经网络的工况预测算法能够较好地预测未来短期工况,其预测精度相较于马尔可夫方法提高12.5%,所提出的能量管理策略在城市道路循环工况(UDDS)下的氢气消耗比电量消耗维持(CD/CS)策略下降55.6%.硬件在环试验表明,在市郊循环工况(EUDC)下的氢气消耗比CD/CS策略下降26.8%,仿真验证结果表明了所提出的策略相比于CD/CS策略在氢气消耗方面的优越性能,并通过硬件在环实验验证了所提策略的有效性.

基于空间句法的矿井应急疏散研究与应用

地下矿井作业危险,空间拓扑结构复杂,因而矿山安全事故时有发生,合理的应急疏散路线规划以及疏散指示布置,能够有效提高井下人员的逃生效率,降低人员伤亡与财产损失。结合某地下矿井实例,基于空间句法和GIS网络分析搭建地下矿井巷道网络模型,从逃生人员的空间认知角度出发,利用标准化角度选择度值选取巷道网络模型中的前景网络和背景网络作为主要避险通道,为应急疏散指示标志布置提供参考;考虑巷道宽度、巷道类型、巷道坡度等巷道基础属性信息,并结合空间句法指标——标准化角度整合度,构建巷道网络应急脆弱模型,顾及巷道空间单元的稳定性,规划井下人员的最优认知路径,进而实现了多目标的地下矿井紧急疏散路线规划。该研究不仅能够为地下矿井的巷道布局设计提供建议,还可为地下矿井的应急疏散路线规划辅助决策、应急预案制定提供理论依据,同时为紧急避险系统的建设与完善提供新的思路。

基于RBF神经网络的光伏并网系统自适应等效建模方法

针对广义负荷建模中的光伏并网系统模型难以适应不同逆变器控制和频率扰动的动态响应问题,提出了一种基于径向基函数(radialbasisfunction,RBF)神经网络的光伏并网系统自适应等效建模方法。首先,建立了光伏并网逆变器不同控制策略响应波形的检测判据。然后,构建了以电压-频率扰动为输入,有功功率和无功功率为输出的光伏并网系统RBF神经网络模型。最后,在Matlab/Simulink中搭建了光伏并网系统模型,并将其接入IEEE14节点配电网进行仿真验证。结果表明,构建的光伏并网自适应等效模型能够有效辨识电压频率给定控制、有功无功给定控制、下垂控制策略类型,能够准确反映光伏并网系统在不同电压、频率扰动下的有功功率、无功功率的动态响应特性。

特斯拉线圈电网络模型的宽频等值化简

针对特斯拉线圈复杂的电网络模型,提出了利用求解非线性方程和优化目标函数建立等值网络的方法。该等值网络在宽频范围内,在阻抗参数、有载增益、输入阻抗、传输功率与传输效率方面,均与原网络近似等值。该方法应用电压、电流之积计算灵敏度,可方便地获得雅可比矩阵和目标函数梯度。该方法对“网络分析与综合”课程或“电路理论”课程的师生,以及科研人员,具有切实的启发作用。

利用网络等值进行图降维的图注意力暂态功角稳定评估模型

省级以上实际大电网节点众多,用于电网暂态稳定评估的深度学习模型输入特征空间面临维数灾,训练成本高且泛化能力难以保证,成为该类方法难以应用于实际大系统的一个瓶颈。针对这一问题,提出了一种面向稳控校核、利用网络等值进行图降维的图注意力深度学习暂态功角稳定评估模型。首先,建立全网发电机图,基于转子惯量等决定暂态功角稳定的关键参数构建其节点相似度,并利用节点相似度改进发电机图的边权重;作为一种领域知识嵌入方式,借鉴电网动态等值思路,对待研究稳控系统所涉及区域以外的网络部分,基于发电机图和分层聚类算法进行分区,将所形成分区对应成等效节点形成降维发电机图,并建立原图到降维图节点、边权重参数的映射,实现对原输入空间的降维。最后,以降维图作为输入建立图注意力深度学习模型,实现对复杂网络的暂态功角稳定评估。在南方电网某实际稳控系统算例上进行对比分析,验证了模型的有效性及准确性。

电网友好型建筑构建路径探索

建筑领域是电力系统重要终端用户,也是构建新型电力系统的重要环节。面向建筑零碳/低碳化构建目标和新型电力系统建设任务,建筑能源系统需要承担哪些新的任务?能够发挥什么样的作用?这些问题均亟待解答。为此,重点从新型电力系统对建筑能源系统提出的新的需求、需承担的新任务及建筑能源系统能够发挥的作用等方面进行探讨,建筑能源系统需要自身革新,在建筑全面电气化、提升建筑能源系统的柔性用电能力等方面寻求突破,在实现建筑自身“源储荷”各环节转变的基础上应当进一步挖掘灵活用电能力,成为新型电力系统中集“产消储调”于一体的友好用户。该研究将为深入认识建筑等用户侧在新型电力系统中需做出的变革、可发挥的作用提供有益探索和参考。

基于等效磁路网络法的均匀正交磁场对环形磁芯等效电感的影响

电源中的磁性元件对外部磁场天然敏感,其工作特性直接影响电源的输出特性。实现背景磁场的建模是研究电源中磁性元件受强杂散磁场干扰问题的重要前提,但目前关注这一应用场景的相关研究较少,且常用的电磁场分析方法难以兼顾计算的精度和效率。基于等效磁路网络法提出了一种杂散磁场效应的分析方法,该方法将研究对象等效生成磁路单元,离散形成网络模型,并通过求解等效磁路系统方程得到模型的场量分布。以一款具体的环形铁氧体磁芯为例,利用等效磁路网络法计算了环形磁芯在直流激励和均匀正交磁场下的场量分布,分析了背景磁场对其等效电感的影响。通过对比等效磁路网络法与有限元法的计算结果,验证了该方法的准确性与高效性,且适用于电源受背景磁场干扰问题的分析。

等水位河间地块岩溶裂隙和流场演变模拟初探

经典地下水动力学根据Dupuit假设得到了河渠间潜水含水层水位分布的解析解,常用于实际工程。该解析模型是否适用于具有裂隙网络的河间地块岩溶含水层,这个问题远未得到充分论证。考虑降雨入渗强度为100~800mm/a的情形,建立剖面二维离散裂隙网络渗流模型,对等水位河间地块开展数值模拟研究。裂隙网络包含陡倾角和缓倾角2组裂隙,具有随机分布特征,隙宽均值为0.01cm。根据稳定流场模拟结果划分包气带和饱水带裂隙界面,分析水位分布特征,计算饱水带裂隙网络的等效渗透系数,并与经典解析模型反算的等效渗透系数进行了对比,发现采用解析模型的误差小于25%。进一步模拟岩溶作用下裂隙演变的情景,对10ka内河间地块裂隙状态和准稳态渗流进行了预测,发现隙宽最大值达到0.07cm,经典解析模型仍然能够通过水位反算出数量级相符的等效渗透系数。模拟结果表明潜水面具有不规则形状,而且在河岸会出现明显的渗出面泉点,裂隙泉点数量在岩溶演变过程中逐渐减少。经典解析模型虽然能够估算河间地块裂隙网络的等效渗透系数,但不能刻画潜水面的不规则形态,也不能预测岩溶裂隙渗流场的演变趋势。