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分布式能源能量调度

于 2021-04-07 发布

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下载积分: 1 下载次数: 17

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说明：利用智能算法对微网中的分布式电源进行最优调度实现配电网稳定运行(Using intelligent algorithm to schedule distributed generation in microgrid to realize stable operation of distribution network)

文件列表：

PSO_0810, 0 , 2016-08-10
PSO_0810\avgfitness_gen.xlsx, 168268 , 2016-08-07
PSO_0810\fit_gen.xlsx, 57153 , 2016-08-07
PSO_0810\myfunc_fit1.m, 246 , 2015-09-20
PSO_0810\myfunc_fit2.m, 1499 , 2015-09-20
PSO_0810\myfunc_fit3.m, 499 , 2015-09-20
PSO_0810\PSO_0804.m, 4468 , 2016-08-04
PSO_0810\PSO_0804_1.m, 5052 , 2016-08-10
PSO_0810\PSO_FUNC.m, 4497 , 2016-08-10
PSO_0810\PSO_prog_test.m, 4389 , 2016-08-04
PSO_0810\PSO_prog_test_2D.m, 5954 , 2015-09-22
PSO_0810\rosen.m, 282 , 2015-09-20
PSO_0810\光伏气温.xlsx, 1262872 , 2016-08-04
PSO_0810\风速.xlsx, 35493 , 2016-08-07

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pn_eegPLV
计算EEG数据集的锁相值（PLV）。％％输入参数： eegData是3D矩阵numChannels x numTimePoints x numTrials srate是EEG数据的采样率filtSpec是用于在期望的感兴趣频带中过滤EEG信号的滤波器规范。它是一个具有两个字段的结构，顺序和范围。范围指定频带的限制，例如，对于伽马频带，使用filtSpec.range = [35 45]。在filtSpec.order中指定FIR滤波器的顺序。一个有用的经验法则可以包括约4到5个周期的所需信号。例如，对于以500Hz采样的eeg数据，filtSpec.order = 50对应于100ms并且包含~4个周期的γ波段（40Hz）。(Computes the Phase Locking Value (PLV) for an EEG dataset. % % Input parameters: % eegData is a 3D matrix numChannels x numTimePoints x numTrials % srate is the sampling rate of the EEG data % filtSpec is the filter specification to filter the EEG signal in the % desired frequency band of interest. It is a structure with two % fields, order and range. % Range specifies the limits of the frequency % band, for example, put filtSpec.range = [35 45] for gamma band. % Specify the order of the FIR filter in filtSpec.order. A useful % rule of thumb can be to include about 4 to 5 cycles of the desired % signal. For example, filtSpec.order = 50 for eeg data sampled at % 500 Hz corresponds to 100 ms and contains ~4 cycles of gamma band % (40 Hz).)

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