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power_system_reactive_power_optimization
- 优秀论论及对应源码。电力系统配电网的无功优化规划是保证配电网安全、经济运行的一项有效手段,是降低网损、提高电压质量的重要措施。因此,电力系统配电网无功优化规划问题的研究,既具有理论意义,又具有工程实际应用价值。配电系统最优规划问题是一个复杂的非线性组合优化问题,至今未得到很好的解决。Tabu搜索(TS—Tabu search)算法是近年来出现的用于求解组合优化问题的一种高效的启发式搜索技术。本文采用固定并联电容器作为研究对象对系统进行无功补偿,并利用智能优化方法得到使配电网损耗降低最大对应的最优
ExtendedHammersteinModelID
- 非线性系统辨识 Extended Hammerstein model identification-Nonlinear system identification Hammerstein model identification
NEWon-feixianxing
- 自编的非线性牛顿算法,经IEEE14、30、39节点系统验证,是正确的-Nonlinear Newton algorithm includes the IEEE14 node system verification, 30, 39, is correct
power-flow-program
- 电力系统潮流程序,包括高斯赛德尔迭代、牛拉法、PQ法、保留非线性法,有注释和说明文档,IEEE5节点系统-Power Flow program, including G-s & NL & PQ & nonlinear method, notes and documentation, IEEE5 node system
nonlinear-system-identification
- 基于BP算法的神经网络对一个非线性系统进行辨识,最终辨识达到稳定并有较小的辨识误差。-BP neural network algorithm is based on a nonlinear system identification, and ultimately to identify stable and has a small identification error.
3-4-inverter-system
- 基于matlab/Simulink的三相四线逆变器并联系统仿真模型,含有线性负载运行及非线性负载运行模型,并有相关说明文件-Based on the three-phase matlab/Simulink simulation model inverter parallel four-wire system,