Distributed generation planning using differential evolution accounting voltage stability consideration

► Incremental voltage is used to identify the buses for DG addition. ► DG capacity is optimized for minimum real power loss in sub transmission system. ► Type-3 DG (induction generator with wind turbine) has been considered for study. ► DG capacity is optimized using differential evolution for minim...

Full description

Saved in:
Bibliographic Details
Published in:International journal of electrical power & energy systems 2012-11, Vol.42 (1), p.196-207
Main Authors: Arya, L.D., Koshti, Atul, Choube, S.C.
Format: Article
Language:English
Subjects:
Applied sciences
Bare bones particle swarm optimization
Differential evolution
Direct energy conversion and energy accumulation
Distributed generation
Electric power plants
Electrical engineering. Electrical power engineering
Electrical power engineering
Exact sciences and technology
High voltage or high current generators
Incremental voltage
Miscellaneous
Multi-membered non-recombinative evolution strategy
Operation. Load control. Reliability
Power networks and lines
Various equipment and components
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:► Incremental voltage is used to identify the buses for DG addition. ► DG capacity is optimized for minimum real power loss in sub transmission system. ► Type-3 DG (induction generator with wind turbine) has been considered for study. ► DG capacity is optimized using differential evolution for minimum power loss. ► DG capacity is also optimized with Multi-membered non-recombinative ES and BBPSO. This paper describes a technique for selection of buses in a sub transmission system for location of distributed generation (DG) and determination of their optimum capacities by minimizing transmission losses. The buses have been selected based on incremental voltage (dV/dP) sensitivities. Line flow constraints have been accounted. Type-3 DG i.e. wind turbine along with induction generator has been considered for the study. Differential evolution (DE) has been used to evaluate the optimum DG capacity and results have been compared with those obtained using bare bones particle swarm optimization (BBPSO) and multi-membered non-recombinative (μ+λ) evolution strategy (MMNRES). The developed algorithms have been implemented on standard 6-bus and 30-bus test systems.
ISSN:0142-0615
1879-3517
DOI:10.1016/j.ijepes.2012.04.011