M

说明：  matlab在电力系统中的应用，基于UPFC仿真程序(matlab in power system applications, based on UPFC simulation program)

运用仿真抽样信号的频谱, 分析满足不同条件下的抽样情况、验证奈奎斯特抽样定理不同量化电平情况下的信噪(The use of simulation sampling frequency spectrum, analyzing a sample under different conditions to meet the situation, verify the Nyquist sampling theorem under different quantization level of the signal to noise)

M_sequence Generator

load flow in power system ieee 39 bus

《MATLAB程序设计教程》源代码 ，很全，光盘拷贝的，希望对各位有帮助啊 ()

信号相加,卷积的应用，从别的地方学习的，貌似有点问题，大家可以参考一下(From other place)

Copyright (c) 2017, Le Zhang All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution(THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.)

混沌优化，用于求解非凸优化，算法运算速度快(Chaos optimization, for solving non-convex optimization, fast algorithm)

simulink仿真，串联电容器在电力系统中的无功补偿(simulink simulation series capacitor reactive power compensation in power system)

说明：  很好的多元回归分析源码，其中一部分是自己写的(Multiple regression analysis a good source, part of which is to write their own)