Description: matlab编写的潮流计算程序，对于c语言头痛者的良好选择-matlab prepared flow calculation procedures, for c language are a good selection headache Platform: |
Size: 16384 |
Author:任我行 |
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Description: IEEE14节点的牛顿拉夫逊算法进行潮流计算，希望对同仁们有所帮助。-IEEE14 node Newton Raphson power flow calculation algorithm, and they hope to be helpful to colleagues. Platform: |
Size: 1024 |
Author:Mentis |
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Description: 故障诊断 基于BP神经网络的故障诊断系统 1生成BP网络2.训练和自适应调整-Fault diagnosis based on BP neural network fault diagnosis system for a generation of BP network 2. Training and adaptive adjustment Platform: |
Size: 1024 |
Author:范范 |
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Description: 基于Elman神经网络的预测程序，可用于电力系统短期负荷预测 -Elman neural network-based forecasting process, can be used for short-term load forecasting of power system Platform: |
Size: 1024 |
Author:liu |
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Description: 可用于电力系统短期负荷预测的RBF神经网络程序-Power system can be used for short-term load forecasting procedures of the RBF neural network Platform: |
Size: 1024 |
Author:liu |
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Description: This paper proposes a fault location method employing wavelet fuzzy neural network to use post-fault transient and steady-state measurements.
When single line to ground fault (SLG) occurs in the distribution lines of an industrial system, the transient feature is distinct
and the high frequency components in the transients can be employed to reveal fault characteristics. In this paper, wavelet transform is
applied to extract fault characteristics from the fault signals. Fuzzy theory and neural network are employed to fuzzify the extracted
information. Wavelet is then integrated with fuzzy neural network to form the wavelet fuzzy neural network (WFNN). The WFNN
is most suitable for post-fault transient and steady-state signal analysis in industrial distribution power system. Analysis and simulation
results illustrate that the theory and algorithm of the WFNN proposed in this paper are efficient in fault location. The WFNN can be
widely applied in fault analysis of power system.-Application of wavelet fuzzy neural network in locating single line
to ground fault (SLG) in distribution lines Platform: |
Size: 227328 |
Author:charlie |
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Description: These set of programs are written to design a robust power system stabilizer for minimizing the effects of low frequency oscillations in electric power systems. A complete nonlinear model of the power system represented by a single machine connected to an infinite bus is developed in the Simulink environment. A fuzzy Power System Stabilizer is designed using the fuzzy logic toolbox of matlab and its parameters are tuned by a NEural Network controller. Platform: |
Size: 15360 |
Author:al-amin |
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Description: 径向函数神经网络的三种算法,里面是一维输入，一维输出，很容易推广到多维，拟合的效果很好-Radial basis function neural network for power system load-flow Platform: |
Size: 14336 |
Author:lan |
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Description: Elman神经网络的数据预测—电力负荷预测模型研究 教学代码-Elman neural network data to predict- the power load forecasting model for teaching code Platform: |
Size: 2048 |
Author:mars |
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Description: 神经网络的数据预测—电力负荷预测模型研究,带有数据，调 试过，可以运行，希望对大家有帮助-Neural network data prediction- the power load forecasting model with data, debugging, you can run, and I hope for all of us to help Platform: |
Size: 2048 |
Author:张力 |
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Description: An expert system based on S-transform and neural network for automatic classification of power quality disturbances Platform: |
Size: 1035264 |
Author:arun |
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Description: 这是一个四个不同的S函数实现集合的递归模糊神经网络（RFNN）。该网络采用了4组可调参数,这使得它非常适合在线学习/操作，从而可应用到系统识别等方面。-This is a collection of four different S-function implementations of the recurrent fuzzy neural network (RFNN) described in detail in [1]. It is a four-layer, neuro-fuzzy network trained exclusively by error backpropagation at layers 2 and 4. The network employs 4 sets of adjustable parameters. In Layer 2: mean[i,j], sigma[i,j] and Theta[i,j] and in Layer 4: Weights w4[m,j]. The network uses considerably less adjustable parameters than ANFIS/CANFIS and therefore, its training is generally faster. This makes it ideal for on-line learning/operation. Also, its approximating/mapping power is increased due to the employment of dynamic elements within Layer 2. Scatter-type and Grid-type methods are selected for input space partitioning. Platform: |
Size: 117760 |
Author:林真天 |
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Description: 采用粒子群算法PSO优化BP神经网络，进行风电功率预测，含实际数据和案例-Particle swarm optimization PSO BP neural network for wind power prediction, including the actual data and case Platform: |
Size: 11264 |
Author:Victoria |
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Description: This paper proposes a new MPPT controller. The proposed
MPPT controller is based on genetic algorithm (GA) optimized
artificial neural network (ANN). For the simulation purpose an
improved model of SPV is used. The MPPT is simulated and
studied using MATLAB software. Platform: |
Size: 304128 |
Author:samir |
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Description: BP神经网络预测风电场功率，利用BP神经网络对风电场未来48小时内的功率进行预测-Wind power prediction for wind farm with BP neural network Platform: |
Size: 123904 |
Author:Kenny |
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Description: 为保障安全与电力用户供电质量，基于并网逆变器的分布式发电(distributed generation DG)系统要求具备孤岛检测功能。针对被动式孤岛检测法检测盲区(non-detectionzone，NDZ)大、检测时间长以及主动式孤岛检测法影响分布式发电系统供电质量的缺点，提出了一种新的被动式孤岛检测方法。该方法利用小波变换从公共耦合点(point ofcommon coupling，PCC)处的电压信号及逆变器输出电流信号中提取特征量，再通过BP 神经网络进行模式识别来判断是否出现孤岛现象。仿真与实验结果表明，该方法比传统的被动式孤岛检测方法检测速度快，检测盲区小。同时，由于所提供的孤岛检测法没有向控制信号中加入扰动量，因而不会对电能质量产生不良影响，克服了主动式孤岛检测方法的不足，并具有很高的准确性与可靠性。-The function of islanding detection is required for the grid-connected inverter-based distributed generation system due to safety reasons and to maintain the quality of power supply. Passive methods have a large non detection zoneand the detecting time is long, while active schemes have negative influence on power quality, so a novel passive islanding detection method was proposed. In this method, wavelet transform was adopted to extract feature vectors the voltage of point of common coupling (PCC) point and the output current of inverter, and then pattern recognition was exerted by BP neural network to determine whether there was an island phenomenon. The simulation and experiment results show that this method is faster than the traditional passive methods in islanding detection, and the non-detection zone is smaller. At the same time, because no disturbance was added to the control signal in the method, there isn’t a negative impact on power quality. The method overcomes the shortco Platform: |
Size: 609280 |
Author:kiel |
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Description: Load frequency control (LFC) plays an important role in maintaining constant frequency in order to
ensure the reliability of power systems.With the large-scale development of sustainable but intermittent
sources such as wind and solar, such intermittency challenges the LFC problem. Moreover, the generation
rate constraint (GRC) of power systems also complexes the LFC problem. Concerning the constraint, this
paper addresses an integral sliding mode control (I-SMC) method for power systems with wind turbines. Platform: |
Size: 1689600 |
Author:Gomaa Haroun |
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Description: Application of benders cut in power flow problem solving in electrical networks.
Neural network for application with wind series
Ant colony in the electrical circuit solution Platform: |
Size: 7168 |
Author:Lara Delfim
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Description: BP神经网络做功率预测，建议有一定matlab基础有5000行数据(BP neural network for power prediction, it is recommended to have a certain matlab basis with 5000 lines of data) Platform: |
Size: 2048 |
Author:AFEl |
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Search - neural network for power