Optimal Distribution Network Planning with Maximal Benefits of Loss Reduction and Voltage Stability Development

Gantayet, Amaresh; Mohanty, Sudipta; Samantaray, Aliva Arati; Satapathy, Lalit Mohon; Patra, Akshaya Kumar; Mishra, Alok Kumar

doi:10.1007/978-981-15-5262-5_1

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2020

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Gantayet et al [33] have established the placing and sizing of distributed energy resources (DERs) have a significant impact on system behavior. For the presented DG allocation problem, a multiobjective function was created by fusing in two single objective functions of loss reduction and voltage stability development.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Objective Hybrid Algorithm for Planning Electrical Distribution System

Rajesh¹,

Shajin²

2020

EJEE

184

122

View full text Add to dashboard Cite

In this manuscript we establish a multiple-objective gravitational search algorithm (GSA) and Tabu heuristic search to plan electrical distribution system. GSA is minimized the Distribution Generator (DG) investment cost, cost of distribution system loss, operation as well as DG maintenance cost with help of appropriate constraints. So the optimum sizing of DG is planned in the optimum location with reduced cost. Here, the Gravitational Search Algorithm (GSA) accelerates the speed of convergence to combination of Tabu heuristic search method search strategy. As established multipurpose hybrid algorithm to plan electrical distribution system performed at MATLAB / simulink platform as well as efficiency evaluated to compare it other methods. The outcomes of comparison determine the advantage of established method as well as confirm its potential to resolve issue.

show abstract

Section: Introductionmentioning

confidence: 99%