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储能优化

于 2021-03-31 发布文件大小:14KB

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下载积分: 1 下载次数: 154

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代码说明：

用于对配网中的储能配置进行优化，目标是成本最小。(It is used to optimize the energy storage configuration in the distribution network, with the goal of minimizing the cost.)

文件列表：

仅有储能\Balance.m, 1213 , 2018-07-21
仅有储能\data.mat, 1995 , 2018-09-12
仅有储能\DE.m, 566 , 2016-03-31
仅有储能\DE_selection.m, 241 , 2016-03-31
仅有储能\Fitness_correction.m, 344 , 2016-03-31
仅有储能\Format_modification.m, 311 , 2016-03-31
仅有储能\gen.m, 7704 , 2018-09-12
仅有储能\main.m, 3919 , 2018-09-13
仅有储能\notice.txt, 327 , 2018-07-05
仅有储能\optmition.m, 1952 , 2018-09-13
仅有储能\output.m, 1605 , 2018-07-22
仅有储能\Out_constraints.m, 1032 , 2016-04-02
仅有储能\PSO.m, 581 , 2016-03-30
仅有储能\U.mat, 210 , 2018-09-10
仅有储能\Untitled.m, 863 , 2018-09-07
仅有储能\结果\data 30 1.mat, 1932 , 2018-09-11
仅有储能\结果, 0 , 2018-09-11
仅有储能, 0 , 2018-09-11

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2014-04-04 15:26:57下载

积分：1
RLS_Algo
功能描述：用matlab语言实现RLS自适应算法函数名：RLS_Algo 输入参数： (1)M:滤波器的阶数 (2)N:LMS算法迭代的次数 (3)lamda:遗忘因子 (4)xn:LMS算法的输入序列输出参数： (1)系数矢量A 调用函数：无被调用：作者：mingcheng 编写时间：2009-10-13 修改时间：2009-10-13 版本：V1.0 (Function Description: The RLS adaptive algorithm matlab language function name: RLS_Algo Input parameters: (1) M: the order of filter (2) N: LMS algorithm the number of iterations (3 ) lamda: forgetting factor (4) xn: LMS algorithm for the input sequence Output parameters: (1) coefficient vector A call the function: No to be called: of: mingcheng write time :2009-10-13 modified :2009-10-13 version: V1.0 )

2010-07-11 12:17:40下载

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K-meanCluster
How the K-mean Cluster work Step 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (N-k) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4 . Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments. (How the K-mean Cluster workStep 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (Nk) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3. Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4. Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments.)

2007-11-15 01:49:03下载

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2009-08-19 16:49:18下载

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在matlab中实现CRC编码功能，代码简洁占用资源率低。(CRC code in matlab functions to implement the code simple and low footprint.)

2011-04-26 19:36:48下载

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2013-08-04 12:13:51下载

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fminsearchbnd
多變數目標函數最佳化,可自行設定變數上下界範圍(optimization of the objective function for several variables)

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