55DG.rar - ptimal DG placement use Pso algorithm whit objective function,2018-03-07 07:01:07,下载78次
109201289dg-placement.rar - This paper presents a new method to solve the network reconfiguration problem in the presence of distributed generation (DG) with an objective of minimizing real power loss and improving voltage profile in distribution system. A meta heuristic Harmony Search Algorithm (HSA) is used to simultaneously reconfigure and identify the optimal locations for installation of DG units in a distribution network. Sensitivity analysis is used to identify optimal locations for installation of DG units. Different scenarios of DG placement and reconfiguration of network are considered to study the performance of the proposed method. The constraints of voltage and branch current carrying capacity are included in the uation of the objective function. The method has been tested on 33-bus and 69-bus radial distribution systems at three different load levels to demonstrate the performance and effectiveness of the proposed method. The results obtained are encouraging. (2014-11-17,2018-03-07 06:59:03,下载214次
Sample_Code_FUZZY.zip - To improve the overall efficiency of power system, the
performance of distribution system must be improved. This
paper presents a new methodology using Differential Evolution
(DE) for the placement of DG units,2017-09-30 03:53:06,下载7次
IEEE-Transactions-Reliability-Constrained-Optimum - Reliability-Constrained Optimum Placement of
Reclosers and Distributed Generators in Distribution
Networks Using an Ant Colony System Algorithm
Optimal-Reconfiguration-of-Distribution.rar - Power distribution systems have tie and sectionalizing switches whose states
determine the configuration of the network. Reconfiguration of distribution network
is achieved through switching operation on switches of distribution network branches.
Power companies are interested in finding the most efficient configuration for
minimization of real power losses and load balancing among distribution feeders to
save the energy and enhance the operation performance of distribution system.
The objective of this thesis is to show that the ant colony optimization
algorithm can be used successfully in the reconfiguration of electrical distribution
networks to minimize the power losses of the system and to balance the loading of the
feeders. This work is to provide a basis for power companies to use it in the
reconfiguration of the distribution networks to reduce the operational costs and to
enhance the performance of their networks.
IEEE34_with_wind.zip - ieee 34 bus distribution system with two wind generator
multiple DG placement in distribution system.rar - multiple DG placement in distribution system
sp2_intrprt_graph1_13a.rar - Variability in the solar irradiance level and ambient
temperature
EMS_Microgrid.rar - 含风力发电、光伏、微型燃气轮机、储能的微电网能量管理，采用粒子群算法优化。
GA.zip - 智能微电网粒子群优化算法,微源：光伏、风机、发电机、储能等
shqrnyre.zip - 对HARQ系统的吞吐量分析，包含光伏电池模块、MPPT模块、BOOST模块、逆变模块，有小波分析的盲信号处理，基于负熵最大的独立分量分析，包括面积、周长、矩形度、伸长度，外文资料里面的源代码，非归零型差分相位调制信号建模与仿真分析 ，通过matlab代码。
code.rar - DG Placement use matpower package. use 2 test systems for validation code. optimal power flow and optimal DG placement in 33 and 69-bus standard systems. please add path MATPOWER in Matlab.
061751110825864.zip - 用遗传算法来实现含有各种能源形式 的der单元的能量调度，实现经济化。含光电。风电等多种单元。 该算法中首先根据各种DER单元的模型列出了各个单元的经济成本公式，包含诸如运行成本、维护成本以及环境等各种费用。然后根据一天的负荷预测图，在不同的控制策略下进行经济调度，计算出各个单元 最佳出力，即输出功率。 目标函数就是成本最低，限制条件包括功率平衡，以及各个单元的输出限制等 "
IEEE33DGPQ4PI17PV25PQV30.zip - 电力系统配电网重构，IEEE33节点，电力系统潮流计算优化
micro-grid-capacity-base-on-pso.zip - 基于PSO算法的微网容量优化配置研究完整matlab程序
pv-model.zip - pv model under matlab new
遗传算法.rar - 在微电网的优化配置过程中采用遗传算法对其进行优化配置
Новая папка.rar - [Distribution-network-reconfiguration] Distribution network reconfiguration
[gadaima] Genetic algorithms for optimization, distribution network reconfiguration, fault recovery, distribution network
RECONFG.rar - This paper presents a new method to solve the network
reconfiguration problem in the presence of distributed generation
(DG) with an objective of minimizing real power loss and
improving voltage profile in distribution system. A meta heuristic
Harmony Search Algorithm (HSA) is used to simultaneously reconfigure
and identify the optimal locations for installation of DG
units in a distribution network. Sensitivity analysis is used to identify
optimal locations for installation of DG units. Different scenarios
of DG placement and reconfiguration of network are considered
to study the performance of the proposed method. The
constraints of voltage and branch current carrying capacity are
included in the uation of the objective function. The method
has been tested on 33-bus and 69-bus radial distribution systems
at three different load levels to demonstrate the performance and
effectiveness of the proposed method. The results obtained are encouraging.
reconfiguration-Research.zip - 电力系统配电网重构的一种新的禁忌算法的研究
18-tabu.rar - solving the power system reconfiguration using AI- Tabu search
MOGWO.rar - 完美运行的多目标灰狼算法，运行文件MOGWO即可进行试验。
可以借助学习灰狼算法，多目标优化。
MOGWO.zip - 在多目标灰色狼优化器（mogwo），固定大小的外部文件集成到该gwo保存和检索的帕累托最优解。该档案被用来定义社会等级，并在多目标搜索空间中模拟灰狼的捕猎行为。