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用粒子群算法进行无功优化，比较实用，希望对大家有帮助，14节点的.-Particle swarm optimization algorithm for reactive power optimization, more practical, we hope to help, 14 nodes.
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配电网采用二进制粒子群算法进行重构，同时使用普通粒子群算法对接入的DG注入功率进行优化(The distribution network adopts binary particle swarm algorithm to refactor, and the DG injection power is optimized by using the general particle swarm algorithm)
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利用粒子群算法进行潮流计算，潮流优化算法(Particle swarm algorithm for power flow calculation and power flow optimization algorithm)
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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.)
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基于粒子群优化的最小二乘支持向量机的电力系统短期负荷预测的matlab仿真程序。(Matlab simulation program for short-term load forecasting of power system based on particle swarm optimization (PSO).)
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基于粒子群算法的无功优化MATLAB源代码，IEEE30节点(MATLAB source code for reactive power optimization based on particle swarm optimization (PSO), IEEE30 node)
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在微电网中综合考虑经济和环境两个目标，以各微源的运行上下限为约束条件，采用粒子群算法在matlab环境下进行了仿真，最后给出了微网各微源的最优机组组合方式和最佳电能交易计划。(The first establish micro multi-objective energy optimal operation model, taking into account both environmental and economic factors in the model, the operation
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粒子群算法在无功优化中的应用，非常简洁，实用(Application of particle swarm optimization in reactive power optimization)
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Particle swarm optimization based maximum power point tracking MPPT used in solar pv system for boost dc dc converter
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几篇关于粒子群法求最大输出功率的文章，方便学习PSO算法。(A few articles on particle swarm optimization for maximum output power, so as to facilitate the learning of PSO algorithm.)
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直流微电网采用光伏发电，光伏的最大功率点采用粒子群优化算法实现。(The DC microgrid adopts photovoltaic power generation, and the maximum power point of PV is realized by particle swarm optimization (PSO).)
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针对直流电网中的最优潮流问题，提出了一种基于模糊控制理论的自适应粒子群算法，以实现电网兼顾有功网损和电压质量的优化运行。(To solve optimal power flow problem in DC grid, an adaptive particle swarm optimization (PSO) algorithm based on fuzzy control theory is proposed in this paper, and optimal operation consi
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电力负荷预测是电力系统规划的重要组成部分，也是电力系统经济运行的基础，其对电力系统规划和运行都极其重要。利用粒子群算法优化支持向量机更加高效准确预测电力负荷。(The power load forecasting is an important part of the power system planning, and it is also the basis of the economic operation of the power system. It is very important
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利用粒子群算法实现最优潮流计算，得到最优配电网规划结果(Using particle swarm optimization algorithm to achieve optimal power flow calculation, get optimal distribution network planning results.)
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近红外光谱(NIRS)是一种间接分析技术,其应用需建立相应的校正模型。为了提高模型的解释能力、预测准确度和建模效率,需要对NIRS 进行波长选择,优选最小化冗余信息。选用蚁群优化(ACO)、遗传优化(GA)、粒子群优化(PSO)、随机青蛙(RF)和模拟退火(SA)5 种智能优化算法对烟叶总氮和烟碱近红外光谱数据进行特征波长选择,结合偏最小二乘(PLS)算法,构建了多个烟叶总氮和烟碱的校正模型,(Near infrared spectroscopy (NIRS) is an indirect an
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粒子群算法,强引导粒子群与混沌优化的电力系统无功优化(Particle swarm optimization, strongly guided particle swarm optimization and chaotic optimization for reactive power optimization in power systems)
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粒子群进行电力系统经济调度程序，初学者可以学习(Particle swarm optimization for power system economic dispatching program, beginners can learn)
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采用粒子群算法对GARVER-6节点配电网络进行直流潮流计算(DC power flow calculation of GARVER-6 node distribution network using particle swarm optimization)
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采用粒子群算法结合MATPOWER对GARVER-6配电网系统进行交流潮流计算并进行网架规划(AC power flow calculation and grid planning for GARVER-6 distribution system using particle swarm optimization and MATPOWER)
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利用matlab语言和软件采用粒子群优化算法解决电力系统无功优化问题(Using MATLAB language and software to solve reactive power optimization problem in power system by particle swarm optimization)
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