power-flow

是一个s7-200 smart与台达变频器通讯及电机控制的程序(Is a S7-200 smart and delta inverter communication and motor control procedures)

模块化多电平变换器仿真模型，带有电容电压控制和环流抑制(Modular multilevel converter simulation model with capacitor voltage control and circulating current suppression)

8MPa 下 CO2/H2O质量比96 /4 的物性参数 适用于东芝超临界二氧化碳循环工质(8MPa under the CO2/H2O mass ratio of 96 /4 of the physical parameters for Toshiba supercritical carbon dioxide circulating fluid)

本程序应用于fluent数值模拟蒸发相变过程，由于fluent软件内不含所需的蒸发模型的方程，需要加入用户自定义（UDF编程）计算，改程序即为蒸发相变模拟编程。(This procedure is applied to the evaporation phase transition fluent numerical simulation process, since the evaporation model equations contain the desired fluent software necessary to add user-defined (UDF programming) is calculated, that is, change procedures evaporated analog programming a phase change.)

说明：  六相永磁同步电机的控制策略，控制效果不错，适合新手学习(The control strategy of six phase permanent magnet synchronous motor has good control effect and is suitable for novice learning)

说明：  直流微电网运行控制策略，matlab仿真程序，可运行(DC microgrid operation control strategy, matlab simulation program, operational)

用PQ分解法实现潮流计算，程序已调试，打开即可用，学校课设必备(Realization of Power Flow Calculation by PQ Decomposition Method)

说明：  通过粒子群算法解决经济调度问题，求解最低燃料成本和网损。(The particle swarm optimization (PSO) algorithm is used to solve the economic scheduling problem, and the minimum fuel cost and network loss are solved.)

利用ATP/EMTP计算高燕架空输电线路感应电压、电流计算模型(Calculation Model of Induced Voltage and Current of Gaoyan Overhead Transmission Line by ATP/EMTP)

基于随机邻域搜索的含风电配电网优化规划 本程序提出了含风电配电网中基于半不变量的随机潮流算法，该算法考虑了风电的出力随机性，运用了概率统计方法处理系统运行中的随机变化因素，给出系统运行电压、支路潮流等概率分布情况，可以更深刻地揭示系统运行状况，为系统安全运行决策提供更完整的信息。 随机变量的卷积运算是随机潮流计算量较大的部分，利用半不变量的方法进行随机变量间的卷积运算，并用Gram-Charlier级数展开式计算随机变量的分布[4-6]将使整个随机潮流计算效率很高，其精度也足以满足规划和运行分析的要求。(This code package mainly analyzes the characteristic of smart grid and the influence RES bring to distribution networks. In this paper, evaluation was made for the necessary improvements on intelligentizing transformation from different aspects, such as load forecast, power stationing planning and network planning, which will truly provide theoretical guidance for the planning work of intelligent distribution networks.)