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Lab4_Task1
- IE3节点的潮流优化，可以进行以网损最小为目标函数进行潮流优化计算，仿真。-IE3 nodes to optimize the trend can be carried out in order to minimize loss to the trend of the objective function for the optimization calculation, simulation.
renconfiguration
- 含分布式电源的配网重构遗传算法 含基因环路编码 目标为网损最小-distributed generations
opf--matpower
- 一个求取二机五节点的，有功网损最小的潮流计算程序-Minimum cost optimal power flow generator program
bizuobizhuan
- 多空 首先要分清目前市场是多是空，方法很简单，喜欢用MA的，MA之上只做多，MA之下只做空；我平时使用分形，四个分形确立方向。用别的指标也行，要害是简单，顺手。 2、盘整与趋势 我用分形高低点是否重叠区分，从而确立操作策略。盘整和趋势的操作绝对不同。 3、时间级别 确立操作时间级别，一般分析三层，但也不必过分拘泥，个人习惯最好。不过最好时间分层呈倍数，这样方便用多层分形分析。
DG-of-POSITION-AND-CAPACITY
- 本程序用于求解以网损、电压偏差、投资运行费用最小为目标的配电网分布式能源选址定容问题，并辅以相关文献。-This procedure is used to solve the loss, voltage deviation, minimum operating cost investment objective distribution network of distributed energy locating and sizing
GRT_RAMT_CVS
- 在静态电压稳定，系统安全运行以及系统潮流约束下，达到网损最小的目标，采用内点法求解-In the static voltage stability, safe operation and system flow constraints, losses reach a minimum target, using the interior point method
chengxu
- 基于遗传算法的IEEE30节点无功优化程序，针对电网的电压损耗作为目标函数进行了优化，优化的目标是使得网损达到最小值。-IEEE30 node reactive power optimization based on genetic algorithm, in view of the grid voltage loss as objective function is optimized, the goal of optimizatio
Q_location
- 无功补偿选址优化问题，实现成本最小，网损最少-Location reactive power compensation optimization problem to minimize costs, minimal losses
bpso
- 基于粒子群的无功优化编程，使得系统网损最小。(Reactive power optimization based on particle swarm of programming, system network loss is minimal.)
33bpso_ploss
- 以减小网损为目标的配电网重构问题求解，利用二进制粒子群优化算法(To solve the problem of distribution network reconfiguration with reduced network loss, binary particle swarm optimization algorithm is used.)
配电网络重构matlab代码
- 基于粒子群算法的配电网重构，可得到网损最小。(Based on the particle swarm optimization algorithm, the network loss can be minimized.)