2010
DOI: 10.5120/305-471
|View full text |Cite
|
Sign up to set email alerts
|

Evolutionary Algorithm Based Optimal Control in Distribution System with Dispersed Generation

Abstract: In this paper, one of the evolutionary algorithm based method, Non-Dominated Sorting Genetic Algorithm (NSGA) has been presented for the Volt / Var control in power distribution systems with dispersed generation (DG). The proposed method is better suited for volt/var control problems. Genetic algorithm approach is used due to its broad applicability, ease of use and high accuracy. A multi-objective optimization problem has been formulated for the volt/var control of the distribution system. The non-dominated s… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2012
2012
2017
2017

Publication Types

Select...
4
2

Relationship

0
6

Authors

Journals

citations
Cited by 7 publications
(3 citation statements)
references
References 11 publications
0
3
0
Order By: Relevance
“…That's why weight indicators for each grid have to be adjusted. To overcome the problems above [17][18][19], method of minimizing losses of power and overtime tension deviation in MM with the distributed generation is offered. This method provides the use of results of math modeling according the genetic algorithm of non-dominant sorting (NSGA).…”
Section: Research Of Existent Methods Of Electric Power Losses Reductmentioning
confidence: 99%
“…That's why weight indicators for each grid have to be adjusted. To overcome the problems above [17][18][19], method of minimizing losses of power and overtime tension deviation in MM with the distributed generation is offered. This method provides the use of results of math modeling according the genetic algorithm of non-dominant sorting (NSGA).…”
Section: Research Of Existent Methods Of Electric Power Losses Reductmentioning
confidence: 99%
“…In the absence of any communication infrastructure using OLTC may not be sufficient to control the voltage level and reactive power [28]. With the support of communication networks, reactive power can be controlled remotely using a capacitor bank at the local control center [7]- [10]. Within the centralized scenario, if the synchrophasor information throughout the distributed feeder is made available at the DNO, the controller would then be able to instruct power injection from generators/inverters that are nearest to the loads with high demand by analyzing the data in each local area.…”
Section: Network Deployment In Distributed Generationmentioning
confidence: 99%
“…However, their deployment in a distribution system faces many obstacles, such as insufficient phasor measurement accuracies under noise and harmonics. In addition, the presence of volt-ampere-reactive (VAR) power can create serious instabilities due to the presence of nonlinear loads [32]–[36]. Because PMUs measure voltage and current phasors, they can directly compute real power and VAR flows at precise moments in time.…”
Section: Introductionmentioning
confidence: 99%