scholarly journals Optimal placement and sizing of multiple distributed generating units in distribution networks by invasive weed optimization algorithm

2016 ◽  
Vol 7 (2) ◽  
pp. 683-694 ◽  
Author(s):  
D. Rama Prabha ◽  
T. Jayabarathi
Keyword(s):  
Optimization Algorithm ◽  
Distribution Networks ◽  
Optimal Placement ◽  
Invasive Weed Optimization ◽  
Invasive Weed

An Adaptive Invasive Weed Optimization Algorithm

2015 ◽  
Vol 29 (02) ◽  
pp. 1559004 ◽  
Author(s):  
Shuo Peng ◽  
A.-J. Ouyang ◽  
Jeff Jun Zhang
Keyword(s):  
Optimization Algorithm ◽  
Initial Step ◽  
Local Extremum ◽  
Invasive Weed Optimization ◽  
Step Size ◽  
Invasive Weed ◽  
Adaptive Step Size ◽  
Initial Step Size ◽  
Adaptive Step ◽  
Optimization Search

With regards to the low search accuracy of the basic invasive weed optimization algorithm which is easy to get into local extremum, this paper proposes an adaptive invasive weed optimization (AIWO) algorithm. The algorithm sets the initial step size and the final step size as the adaptive step size to guide the global search of the algorithm, and it is applied to 20 famous benchmark functions for a test, the results of which show that the AIWO algorithm owns better global optimization search capacity, faster convergence speed and higher computation accuracy compared with other advanced algorithms.

scholarly journals Optimal placement of distributed generation using colliding bodies optimization

2018 ◽  
Vol 7 (3.3) ◽  
pp. 168
Author(s):  
Gera Kalidas Babu ◽  
P V. Ramana rao
Keyword(s):  
Distributed Generation ◽  
Optimization Algorithm ◽  
Distribution Networks ◽  
Optimal Placement ◽  
Solar Photovoltaic ◽  
Load Power ◽  
Colliding Bodies Optimization ◽  
Power Loss Reduction ◽  
Radial Distribution Networks ◽  
Distribution Generation

The present paper foremost objective is to resolve best practicable location of solar photovoltaic distribution generation (DG) of several cases using different distribution load power factors and to analyze power loss reduction. This objective achieved by a recent developed method, the so called colliding bodies’ optimization algorithm, to perceive optimum location. Performances of colliding bodies’ optimization algorithm have been evaluated and compared with other search algorithms. The execution to test viability and efficiency, the proposed collid-ing bodies’ optimization is simulated on standard IEEE 38 bus radial distribution networks. The acquired outcome from colliding bodies Optimization algorithm exhibits the possible location of distributed generation through different pre assumed load power factors compared to the other stochastic search bat and genetic algorithm.  

Sign in / Sign up

Export Citation Format

Share Document