Multi-objective Shark Smell Optimization for Solving the Reactive Power Dispatch Problem

Mehdi Bagheri; Adilet Sultanbek; Oveis Abedinia; Mohammad Salay Naderi; Mehdi Salay Naderi; Noradin Ghadimi

doi:10.1109/EEEIC.2018.8494502

Multi-objective Shark Smell Optimization for Solving the Reactive Power Dispatch Problem

Mehdi Bagheri, Adilet Sultanbek, Oveis Abedinia, Mohammad Salay Naderi, Mehdi Salay Naderi, Noradin Ghadimi

School of Engineering and Digital Sciences

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

15 Citations (Scopus)

Abstract

In this paper, a new multi-objective shark smell optimization (MOSSO) algorithm is proposed for solving the reactive power dispatch problem based on operational constraints of the generators. This multi-objective problem applied to discovery the settings of continuous as well as discrete control parameters i.e., tap location of tap changing transformers, voltage of generator, and the reactive compensation devices value to solve three objectives at the same time as: Voltage deviation, the total voltage stability and real power loss. To improve the abilities of proposed optimization algorithm a Pareto dominance is considered to provide and sort the dominated and non-dominated solutions. Effectiveness of the proposed approach is applied on different test cases and demonstrated through comparing its performance with other algorithms. The results confirm the proposed algorithm great potential in handling the multi objective problems in power systems.

Original language	English
Title of host publication	Proceedings - 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538651858
DOIs	https://doi.org/10.1109/EEEIC.2018.8494502
Publication status	Published - Oct 16 2018
Event	2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018 - Palermo, Italy Duration: Jun 12 2018 → Jun 15 2018

Publication series

Name	Proceedings - 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018

Other

Other	2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018
Country/Territory	Italy
City	Palermo
Period	6/12/18 → 6/15/18

Keywords

MOSSO
Reactive power dispatch
Strength Pareto
generation unit constraints

ASJC Scopus subject areas

Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering
Industrial and Manufacturing Engineering
Environmental Engineering
Hardware and Architecture

UN SDGs

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

Access to Document

10.1109/EEEIC.2018.8494502

Cite this

Bagheri, M., Sultanbek, A., Abedinia, O., Naderi, M. S., Naderi, M. S., & Ghadimi, N. (2018). Multi-objective Shark Smell Optimization for Solving the Reactive Power Dispatch Problem. In Proceedings - 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018 Article 8494502 (Proceedings - 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EEEIC.2018.8494502

Multi-objective Shark Smell Optimization for Solving the Reactive Power Dispatch Problem. / Bagheri, Mehdi; Sultanbek, Adilet; Abedinia, Oveis et al.
Proceedings - 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8494502 (Proceedings - 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018).

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

Bagheri, M, Sultanbek, A, Abedinia, O, Naderi, MS, Naderi, MS & Ghadimi, N 2018, Multi-objective Shark Smell Optimization for Solving the Reactive Power Dispatch Problem. in Proceedings - 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018., 8494502, Proceedings - 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018, Palermo, Italy, 6/12/18. https://doi.org/10.1109/EEEIC.2018.8494502

Bagheri M, Sultanbek A, Abedinia O, Naderi MS, Naderi MS, Ghadimi N. Multi-objective Shark Smell Optimization for Solving the Reactive Power Dispatch Problem. In Proceedings - 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8494502. (Proceedings - 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018). doi: 10.1109/EEEIC.2018.8494502

Bagheri, Mehdi ; Sultanbek, Adilet ; Abedinia, Oveis et al. / Multi-objective Shark Smell Optimization for Solving the Reactive Power Dispatch Problem. Proceedings - 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018. Institute of Electrical and Electronics Engineers Inc., 2018. (Proceedings - 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018).

@inproceedings{216e6b35f3b240eaba644e54d8645439,

title = "Multi-objective Shark Smell Optimization for Solving the Reactive Power Dispatch Problem",

abstract = "In this paper, a new multi-objective shark smell optimization (MOSSO) algorithm is proposed for solving the reactive power dispatch problem based on operational constraints of the generators. This multi-objective problem applied to discovery the settings of continuous as well as discrete control parameters i.e., tap location of tap changing transformers, voltage of generator, and the reactive compensation devices value to solve three objectives at the same time as: Voltage deviation, the total voltage stability and real power loss. To improve the abilities of proposed optimization algorithm a Pareto dominance is considered to provide and sort the dominated and non-dominated solutions. Effectiveness of the proposed approach is applied on different test cases and demonstrated through comparing its performance with other algorithms. The results confirm the proposed algorithm great potential in handling the multi objective problems in power systems.",

keywords = "MOSSO, Reactive power dispatch, Strength Pareto, generation unit constraints",

author = "Mehdi Bagheri and Adilet Sultanbek and Oveis Abedinia and Naderi, {Mohammad Salay} and Naderi, {Mehdi Salay} and Noradin Ghadimi",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018 ; Conference date: 12-06-2018 Through 15-06-2018",

year = "2018",

month = oct,

day = "16",

doi = "10.1109/EEEIC.2018.8494502",

language = "English",

series = "Proceedings - 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "Proceedings - 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018",

address = "United States",

}

TY - GEN

T1 - Multi-objective Shark Smell Optimization for Solving the Reactive Power Dispatch Problem

AU - Bagheri, Mehdi

AU - Sultanbek, Adilet

AU - Abedinia, Oveis

AU - Naderi, Mohammad Salay

AU - Naderi, Mehdi Salay

AU - Ghadimi, Noradin

PY - 2018/10/16

Y1 - 2018/10/16

N2 - In this paper, a new multi-objective shark smell optimization (MOSSO) algorithm is proposed for solving the reactive power dispatch problem based on operational constraints of the generators. This multi-objective problem applied to discovery the settings of continuous as well as discrete control parameters i.e., tap location of tap changing transformers, voltage of generator, and the reactive compensation devices value to solve three objectives at the same time as: Voltage deviation, the total voltage stability and real power loss. To improve the abilities of proposed optimization algorithm a Pareto dominance is considered to provide and sort the dominated and non-dominated solutions. Effectiveness of the proposed approach is applied on different test cases and demonstrated through comparing its performance with other algorithms. The results confirm the proposed algorithm great potential in handling the multi objective problems in power systems.

AB - In this paper, a new multi-objective shark smell optimization (MOSSO) algorithm is proposed for solving the reactive power dispatch problem based on operational constraints of the generators. This multi-objective problem applied to discovery the settings of continuous as well as discrete control parameters i.e., tap location of tap changing transformers, voltage of generator, and the reactive compensation devices value to solve three objectives at the same time as: Voltage deviation, the total voltage stability and real power loss. To improve the abilities of proposed optimization algorithm a Pareto dominance is considered to provide and sort the dominated and non-dominated solutions. Effectiveness of the proposed approach is applied on different test cases and demonstrated through comparing its performance with other algorithms. The results confirm the proposed algorithm great potential in handling the multi objective problems in power systems.

KW - MOSSO

KW - Reactive power dispatch

KW - Strength Pareto

KW - generation unit constraints

UR - http://www.scopus.com/inward/record.url?scp=85056512020&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85056512020&partnerID=8YFLogxK

U2 - 10.1109/EEEIC.2018.8494502

DO - 10.1109/EEEIC.2018.8494502

M3 - Conference contribution

AN - SCOPUS:85056512020

T3 - Proceedings - 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018

BT - Proceedings - 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018

Y2 - 12 June 2018 through 15 June 2018

ER -

Multi-objective Shark Smell Optimization for Solving the Reactive Power Dispatch Problem

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this