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DG-optimal-PSO-algorithm
- 该算法可以计算含DG的配电网优化计算，算例采用IEEE 33 bus test system。-Our algorithm package can solve the distribution active power optimization with the consideration of distributed generation (DG). The test case is based on IEEE 33 bus test base. Enjoy it.
rand03.6
- In order to minimize power losses caused by high current and improve the voltage profile in the network distribution, the introduction of dispersed generations also called productions decentralized in distribution network (DG) plays an important role
NR-n-DG
- It is code for( 33 and 69 bus IEEE data) Newton-Rapshan method and D.G. placement code also. One code is for minimizing a function using particle swarm optimization technique.
RECONFG
- 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
PSO
- This paper propose a Firefly algorithm (FA) for optimal placement and sizing of distributed generation (DG) in radial distribution system to minimize the total real power losses and to improve the voltage profile. FA is a metaheuristic algori
A-combination-of-genetic-algorithm-and-particle-s
- A combination of genetic algorithm and particle swarm optimization for optimal DG location and sizing in distribution systems Distributed generation (DG) sources are becoming more prominent in distribution systems due to the incremental dema
New-Method-of-Voltage-Control
- 考虑分布式电源的配电网电压控制新方法。针对含分布式电源的配电网电压越限问题，提出了一种基于灵敏度分析进行综合调节分布式电源出力和投切电容器组的电压控制新方法。当配电网出现节点电压越限，通过计算各个节点的注入无功功率对电压的灵敏度，以系统节点电压偏移最小为目标函数，采用和声算法，综合确定调节分布式电源出力大小和投切电容器组大小，并对分布式电源是否参与电压控制的控制效果和是否按电压灵敏度调节电压的控制效果进行了比较。-New Method of Voltage Control Considering
dg-placement
- It is code for( 33 bus IEEE data) DG placement code for minimizing a function using particle swarm optimization technique.-It is code for( 33 bus IEEE data) DG placement code for minimizing a function using particle swarm optimization technique.
2_DGPlacemDataEnvelAnal
- DG placement in a 33-bus distribution power system using data envelopment analysis technique considering voltage profile, reliability, power loss and cost.
3_DGPlaceOptimImperiCompAlgo
- DG Placement optimization in 33-bus and 69-bus distribution power systems using Imperialistic Competition optimization algorithm.
6_MultDGPlacOptimizationImperiCompAlgo
- Multiple DG Placement optimization in 33-bus and 69-bus distribution power systems in 2 different bus using Imperialistic Competition algorithm
109201289dg-placement
- 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 Harmon