Variable_wind_grid

2.5维的柱坐标系的正演程序，fortran的语言，供大家参考(Forward procedure 2.5 dimensional cylindrical coordinate system, FORTRAN language, for your reference)

电力系统负荷预测程序，短期预测，考虑天气、人体舒适度等因素。(Power system load forecasting process, short-term forecasting, considering the weather, human comfort and other factors.)

油田开发效果评价，考虑非均质性的流管法！输入相渗曲线、高压物性资料、渗透率伽马分布等，即可进行油田水驱开发效果评价！(Oilfield development effect assessment, consider the heterogeneity of the flow tube! Input relative permeability curves, PVT data, the penetration of the gamma distribution, oil field water flooding effect evaluation can be carried out!)

计算离散信号的振幅谱和相位谱 1. 编写计算DFT的程序。 2. 编写计算振幅谱和相位谱的程序。 (DSP)

自己搭建的继电保护中的变压器比率制动保护模型，对研究变压器的保护有一定的参考价值(Build their own protection transformer protection ratio brake model, transformers for protection of some reference value)

电力系统仿真建模需要的模型，可以适合智能电网，分布式发电(power system modeling control smart grid stability)

单风电场潮流计算模型，风电集群潮流模型，最优潮流计算，N-1最优潮流计算(detailed wind power model, optimal power flow computation and N-1 based SCOPF)

能仿真半波长输电线路的输电特性和潜供电流特性，改变线路长度还能仿真一般的特高压交流输电线路。(this model can simulate the characteristic of half-wave length transmission line and the secondary arc current.it can also change the length of transmission line to simulate the normal UHVAC transmission line.)

配电网潮流计算，以IEEE33节点为例,运用前退回代法计算(Power flow calculation, in order to IEEE33 nodes, for example, the use of return on behalf of the former method)

该文件是优秀论文并带有相应的源码。在Matlab软件平台上，对所提出的基于遗传算法的电力系统电力市场分段竞价交易算法进行了阶梯型报价曲线、线性报价曲线这两种常用报价曲线情况下的算例验证，计算结果显示算法的寻优效果因报价曲线性质的不同而略有区别，但两种情况均可得到优化的购电费用。实验结果证明了该算法应用于分段竞价模型的有效性和可行性，且不受报价曲线形式的限制。(The document is an excellent paper with a corresponding source code. In the Matlab software platform for the proposed genetic algorithm-based power systems market segment auction algorithms offer ladder-type curve, the two commonly used linear bidding curve bidding curve example in case of validation, the results show algorithm optimization results for the different nature of bidding curve slightly different, but both cases can be optimized for power purchase costs. Experimental results show that the algorithm is applied to sub-effectiveness and feasibility of bidding model, and is not limited form of bidding curve.)