搜索资源列表
Enhancement-by-MPPT-Algorithm
- 太阳能电池组的模型和改进的MPPT控制算法-Modeling of PV Array and Performance Enhancement by MPPT Algorithm
MPPT
- 光伏电池阵列输出功率受光照强度和温度变化的影响,因此最大功率点跟踪(MPPT)技术广泛应用于光伏系统中。在所有最大功率点(MPP)控制策略中,扰动观察(P&O)MPPT算法因易实现被广泛应用,然而它的缺点是在稳定工作状态下工作点通过MPP 时会导致能量振荡损耗,并且在光照强度或温度发生突变时表现较差的动态响应。在本文中,提出一种改进型变步长扰动观察MPPT 算法,此方法依据工作点动态调整步长变化,与传统固定步长方法比较,本文提出的方法能有效地提高MPPT 速度和转换效率,通过仿真和实验结果分析,
A-New-Adaptive-Logic
- 光伏孤岛检测方面 SCI 的控制算法主要针对自适应法-PV islanding detection SCI control algorithm for the adaptive method
DAMPPT
- 光伏电池阵列输出功率受光照强度和温度变化的影响,因此最大功率点跟踪(MPPT)技术广泛应用于光伏系统中。在所有最大功率点(MPP)控制策略中,扰动观察(P&O)MPPT算法因易实现被广泛应用,然而它的缺点是在稳定工作状态下工作点通过MPP 时会导致能量振荡损耗,并且在光照强度或温度发生突变时表现较差的动态响应。在本文中,提出一种改进型变步长扰动观察MPPT 算法,此方法依据工作点动态调整步长变化,与传统固定步长方法比较,本文提出的方法能有效地提高MPPT 速度和转换效率,通过仿真和实验结果分析,
Maximum_partially_shaded_conditions
- This paper proposes a novel algorithm to track the global power peak under partially shaded conditions. The formulation of the algorithm is based on several critical observations made out of an extensive study of the PV characteristics and th
MPPT
- 太阳能光伏阵列在光照强度不均匀或者处于部分遮阴情形时,它的功率一电压输出特性曲线将出现多峰现象,这种情况下如果继续采用传统的最大功率跟踪法会造成光伏阵列输出功率的降低,从而导致光伏发电系统的效率的降低。 本文首先介绍了光伏并网发电的研究背景和意义,分析了国内外的现状和光伏并网发电关键问题的现状,接着对光伏电池的工作原理、等效模型和输出特性三方面进行了作了全面的分析 在此基础上,深入研究了热斑效应和部分遮阴条件下光伏电池不同的表现性能 然后,本文详细介绍了常用的最大功率跟踪方法的原理、优缺
bingwangfenxi
- 在MATLAB/Simulink环境中搭建了光伏发电系统模型,其采用最大功率点跟踪(MPPT)控制算法,并加入继电保护逻辑控制模块.通过PSASP的用户程序接口,可将该模型以电流源的形式接入电网模型进行暂态稳定计算.同时提出在电流源并网模式下并网光伏发电系统控制其与电网的无功功率交换为0,因此在潮流计算中可将光伏电站设为PQ节点,并设无功功率为0.CEPRI 36节点系统的仿真结果验证了该模型的正确性,并表明所提模型比常规同步电机二阶经典模型对电网故障的反应更为灵敏,但其对于改善全系统的暂态稳定
MPPT-algorithm-of-PV-system
- 对光伏MPPT算法总结,并在考虑光照强度变化时的MPPT算法改进-MPPT algorithm for PV MPPT algorithm summarized, and changes in light intensity when considering improvements
POWER-FLOW
- 采用牛顿拉夫逊算法进行潮流计算,包括单支路,双支路,变压器的考虑,也进行了平衡节点,PQ,PV节点的考虑-Newton Raphson power flow calculation algorithm, including single slip, double slip, transformers considerations are also considered balanced nodes, PQ, PV nodes
Optimal stochastic reactive power scheduling in a microgrid considering voltage droop scheme of DGs and uncertainty of w
- Distributed Generators (DGs) in a microgrid may operate in three different reactive power control strategies, including PV, PQ and voltage droop schemes. This paper proposes a new stochastic programming approach for reactive power scheduling of a mic
Solar_HV_DC_AC_Sch_PCB
- 光伏逆变器SVPWM设计原理图,包含逆变器控制算法-PV inverter SVPWM design schematics, including inverter control algorithm
419-Mahdi
- This paper presents an improved maximum power point tracking (MPPT) algorithm of a PV system under real climatic conditions. The proposed MPPT is based on the perturbation and observation (P&O) strategy and the variable step method that contr
mppt
- This paper proposes an improved maximum power point tracking (MPPT) method for the photovoltaic (PV) system using a modifi ed particle swarm optimization (PSO) algorithm.
06680757
- ILST Control Algorithm of Single-Stage Dual Purpose Grid Connected Solar PV System
06925921
- Comparison of Distributed and Centralized control for Partial Shading in PV Parallel Based on Particle Swarm Optimization Algorithm
266-A-Variable-Incremental-Conductance-MPPT-Imple
- The use of solar energy as a source for pumping water is one of the promising areas in the photovoltaic (PV) application. The energy of photovoltaic pumping systems (PVPS) can be widely improved by employing an MPPT algorithm. This will lead conseque
A-novel-maximum-power-point-tracking-for-photovol
- In this paper, a novel strategy of maximum power point tracking is presented for photovoltaic power generation systems based on Fibonacci search algorithm to realize simple control system to track the real maximum power point even under non-uniform
solar_mppt_resistive_load
- P&O algorithm for PV system with buck boost coverter
ISIEA.2011.6108763-Sizing-grid-connected-photovol
- This paper presents an intelligent-based algorithm for sizing grid-connected photovoltaic (GCPV) system using Genetic Algorithm (GA). GA had been used to determine the optimal PV module and inverter pre-developed PV module and inverter databa
cd160
- 包含光伏电池模块、MPPT模块、BOOST模块、逆变模块,利用自然梯度算法,遗传算法无功优化。- PV modules contain, MPPT module, BOOST module, inverter module, Use of natural gradient algorithm, Genetic algorithm based reactive power optimization.
