Comparison of single and multi-objectives for optimal DGs reactive power dispatch using PSO

N. B. Salim; Takao Tsuji; Tsutomu Oyama; Kenko Uchida

doi:10.1109/ISGT-Asia.2016.7796371

Comparison of single and multi-objectives for optimal DGs reactive power dispatch using PSO

N. B. Salim, Takao Tsuji, Tsutomu Oyama, Kenko Uchida

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

It is necessary to meet both efficiency and reliability of power systems operations with regard of electricity demand whilst taking into account voltage stability concerns. The reactive power dispatch problem has been defined and applied with the optimization of these three objectives, which are the minimization of power loss, voltage deviation and power curtailment respectively. Many optimization problems often confronts with multi objectives decision and must choose the best trade-offs for all the specified and conflicted objectives since they are lump into one. Reactive power distribution system design with Distributed Generators (DG) presence is a multi objective problem for which it is uneasy to specify primarily due to faults and uncertainties of future demand. This paper investigates the comparison with having single and multiple objective functions via metaheuristic algorithm known as Particle Swarm Optimization (PSO). Simulation results are demonstrated well in seeking for optimal reactive power injection with regard to voltage stability vicinity.

Original language	English
Title of host publication	2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016
Publisher	IEEE Computer Society
Pages	115-120
Number of pages	6
ISBN (Electronic)	9781509043033
DOIs	https://doi.org/10.1109/ISGT-Asia.2016.7796371
Publication status	Published - 2016 Dec 22
Event	2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016 - Melbourne, Australia Duration: 2016 Nov 28 → 2016 Dec 1

Other

Other	2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016
Country/Territory	Australia
City	Melbourne
Period	16/11/28 → 16/12/1

Keywords

Particle Swarm Optimization (PSO)
Photovoltaic
Reactive Power Control
Voltage Stability

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ISGT-Asia.2016.7796371

Cite this

Salim, NB, Tsuji, T, Oyama, T & Uchida, K 2016, Comparison of single and multi-objectives for optimal DGs reactive power dispatch using PSO. in 2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016., 7796371, IEEE Computer Society, pp. 115-120, 2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016, Melbourne, Australia, 16/11/28. https://doi.org/10.1109/ISGT-Asia.2016.7796371

@inproceedings{e40c151612d44d3b8dd4e3dbd6637241,

title = "Comparison of single and multi-objectives for optimal DGs reactive power dispatch using PSO",

abstract = "It is necessary to meet both efficiency and reliability of power systems operations with regard of electricity demand whilst taking into account voltage stability concerns. The reactive power dispatch problem has been defined and applied with the optimization of these three objectives, which are the minimization of power loss, voltage deviation and power curtailment respectively. Many optimization problems often confronts with multi objectives decision and must choose the best trade-offs for all the specified and conflicted objectives since they are lump into one. Reactive power distribution system design with Distributed Generators (DG) presence is a multi objective problem for which it is uneasy to specify primarily due to faults and uncertainties of future demand. This paper investigates the comparison with having single and multiple objective functions via metaheuristic algorithm known as Particle Swarm Optimization (PSO). Simulation results are demonstrated well in seeking for optimal reactive power injection with regard to voltage stability vicinity.",

keywords = "Particle Swarm Optimization (PSO), Photovoltaic, Reactive Power Control, Voltage Stability",

author = "Salim, {N. B.} and Takao Tsuji and Tsutomu Oyama and Kenko Uchida",

year = "2016",

month = dec,

day = "22",

doi = "10.1109/ISGT-Asia.2016.7796371",

language = "English",

pages = "115--120",

booktitle = "2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016",

publisher = "IEEE Computer Society",

address = "United States",

note = "2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016 ; Conference date: 28-11-2016 Through 01-12-2016",

}

TY - GEN

T1 - Comparison of single and multi-objectives for optimal DGs reactive power dispatch using PSO

AU - Salim, N. B.

AU - Tsuji, Takao

AU - Oyama, Tsutomu

AU - Uchida, Kenko

PY - 2016/12/22

Y1 - 2016/12/22

N2 - It is necessary to meet both efficiency and reliability of power systems operations with regard of electricity demand whilst taking into account voltage stability concerns. The reactive power dispatch problem has been defined and applied with the optimization of these three objectives, which are the minimization of power loss, voltage deviation and power curtailment respectively. Many optimization problems often confronts with multi objectives decision and must choose the best trade-offs for all the specified and conflicted objectives since they are lump into one. Reactive power distribution system design with Distributed Generators (DG) presence is a multi objective problem for which it is uneasy to specify primarily due to faults and uncertainties of future demand. This paper investigates the comparison with having single and multiple objective functions via metaheuristic algorithm known as Particle Swarm Optimization (PSO). Simulation results are demonstrated well in seeking for optimal reactive power injection with regard to voltage stability vicinity.

AB - It is necessary to meet both efficiency and reliability of power systems operations with regard of electricity demand whilst taking into account voltage stability concerns. The reactive power dispatch problem has been defined and applied with the optimization of these three objectives, which are the minimization of power loss, voltage deviation and power curtailment respectively. Many optimization problems often confronts with multi objectives decision and must choose the best trade-offs for all the specified and conflicted objectives since they are lump into one. Reactive power distribution system design with Distributed Generators (DG) presence is a multi objective problem for which it is uneasy to specify primarily due to faults and uncertainties of future demand. This paper investigates the comparison with having single and multiple objective functions via metaheuristic algorithm known as Particle Swarm Optimization (PSO). Simulation results are demonstrated well in seeking for optimal reactive power injection with regard to voltage stability vicinity.

KW - Particle Swarm Optimization (PSO)

KW - Photovoltaic

KW - Reactive Power Control

KW - Voltage Stability

UR - http://www.scopus.com/inward/record.url?scp=85010065708&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85010065708&partnerID=8YFLogxK

U2 - 10.1109/ISGT-Asia.2016.7796371

DO - 10.1109/ISGT-Asia.2016.7796371

M3 - Conference contribution

AN - SCOPUS:85010065708

SP - 115

EP - 120

BT - 2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016

PB - IEEE Computer Society

T2 - 2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016

Y2 - 28 November 2016 through 1 December 2016

ER -

Comparison of single and multi-objectives for optimal DGs reactive power dispatch using PSO

Abstract

Other

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this