Intentional Islanding Solution Based on Modified Discrete Particle Swarm Optimization Technique

N. Z. Saharuddin, Izham Zainal Abidin, Hazlie Bin Mokhlis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Implementation of intentional islanding can prevent the power system blackout by partitioning the system into feasible sets of islands. The main challenge in determining the optimal islanding solution is the selection of transmission lines to be disconnected (cutsets) to form islands. The islanding solution must be the optimal solution and should not destabilize or cause the system to collapse. Therefore, this work developed a Modified Discrete Particle Swarm Optimization (MDPSO) with three- stages mutation technique to determine the optimal intentional islanding solution. An initial solution based heuristic method is used to assists the MDPSO technique to find the optimal islanding solution with minimal power disruption as its objective function. The post- islanding generation-load balance and transmission line power flow analysis are assessed to ensure the steady state stability is maintained in each island. The load shedding algorithm is carried out if generation-load balance criteria are violated. The proposed technique is tested on a modified IEEE 30-bus and IEEE 39-bus system. The results obtained show that the proposed technique produces an optimal intentional islanding solution with lower power flow disruption compared to other existing methods.

Original languageEnglish
Title of host publication2018 IEEE 7th International Conference on Power and Energy, PECon 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages399-404
Number of pages6
ISBN (Electronic)9781538654316
DOIs
Publication statusPublished - 02 Jul 2018
Event7th IEEE International Conference on Power and Energy, PECon 2018 - Kuala Lumpur, Malaysia
Duration: 03 Dec 201804 Dec 2018

Publication series

Name2018 IEEE 7th International Conference on Power and Energy, PECon 2018

Conference

Conference7th IEEE International Conference on Power and Energy, PECon 2018
CountryMalaysia
CityKuala Lumpur
Period03/12/1804/12/18

Fingerprint

Particle swarm optimization (PSO)
Electric lines
Heuristic methods

All Science Journal Classification (ASJC) codes

  • Fuel Technology
  • Energy Engineering and Power Technology

Cite this

Saharuddin, N. Z., Zainal Abidin, I., & Bin Mokhlis, H. (2018). Intentional Islanding Solution Based on Modified Discrete Particle Swarm Optimization Technique. In 2018 IEEE 7th International Conference on Power and Energy, PECon 2018 (pp. 399-404). [8684097] (2018 IEEE 7th International Conference on Power and Energy, PECon 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PECON.2018.8684097
Saharuddin, N. Z. ; Zainal Abidin, Izham ; Bin Mokhlis, Hazlie. / Intentional Islanding Solution Based on Modified Discrete Particle Swarm Optimization Technique. 2018 IEEE 7th International Conference on Power and Energy, PECon 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 399-404 (2018 IEEE 7th International Conference on Power and Energy, PECon 2018).
@inproceedings{6108b57b8a054f8c8314ac14e1423b6e,
title = "Intentional Islanding Solution Based on Modified Discrete Particle Swarm Optimization Technique",
abstract = "Implementation of intentional islanding can prevent the power system blackout by partitioning the system into feasible sets of islands. The main challenge in determining the optimal islanding solution is the selection of transmission lines to be disconnected (cutsets) to form islands. The islanding solution must be the optimal solution and should not destabilize or cause the system to collapse. Therefore, this work developed a Modified Discrete Particle Swarm Optimization (MDPSO) with three- stages mutation technique to determine the optimal intentional islanding solution. An initial solution based heuristic method is used to assists the MDPSO technique to find the optimal islanding solution with minimal power disruption as its objective function. The post- islanding generation-load balance and transmission line power flow analysis are assessed to ensure the steady state stability is maintained in each island. The load shedding algorithm is carried out if generation-load balance criteria are violated. The proposed technique is tested on a modified IEEE 30-bus and IEEE 39-bus system. The results obtained show that the proposed technique produces an optimal intentional islanding solution with lower power flow disruption compared to other existing methods.",
author = "Saharuddin, {N. Z.} and {Zainal Abidin}, Izham and {Bin Mokhlis}, Hazlie",
year = "2018",
month = "7",
day = "2",
doi = "10.1109/PECON.2018.8684097",
language = "English",
series = "2018 IEEE 7th International Conference on Power and Energy, PECon 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "399--404",
booktitle = "2018 IEEE 7th International Conference on Power and Energy, PECon 2018",
address = "United States",

}

Saharuddin, NZ, Zainal Abidin, I & Bin Mokhlis, H 2018, Intentional Islanding Solution Based on Modified Discrete Particle Swarm Optimization Technique. in 2018 IEEE 7th International Conference on Power and Energy, PECon 2018., 8684097, 2018 IEEE 7th International Conference on Power and Energy, PECon 2018, Institute of Electrical and Electronics Engineers Inc., pp. 399-404, 7th IEEE International Conference on Power and Energy, PECon 2018, Kuala Lumpur, Malaysia, 03/12/18. https://doi.org/10.1109/PECON.2018.8684097

Intentional Islanding Solution Based on Modified Discrete Particle Swarm Optimization Technique. / Saharuddin, N. Z.; Zainal Abidin, Izham; Bin Mokhlis, Hazlie.

2018 IEEE 7th International Conference on Power and Energy, PECon 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 399-404 8684097 (2018 IEEE 7th International Conference on Power and Energy, PECon 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Intentional Islanding Solution Based on Modified Discrete Particle Swarm Optimization Technique

AU - Saharuddin, N. Z.

AU - Zainal Abidin, Izham

AU - Bin Mokhlis, Hazlie

PY - 2018/7/2

Y1 - 2018/7/2

N2 - Implementation of intentional islanding can prevent the power system blackout by partitioning the system into feasible sets of islands. The main challenge in determining the optimal islanding solution is the selection of transmission lines to be disconnected (cutsets) to form islands. The islanding solution must be the optimal solution and should not destabilize or cause the system to collapse. Therefore, this work developed a Modified Discrete Particle Swarm Optimization (MDPSO) with three- stages mutation technique to determine the optimal intentional islanding solution. An initial solution based heuristic method is used to assists the MDPSO technique to find the optimal islanding solution with minimal power disruption as its objective function. The post- islanding generation-load balance and transmission line power flow analysis are assessed to ensure the steady state stability is maintained in each island. The load shedding algorithm is carried out if generation-load balance criteria are violated. The proposed technique is tested on a modified IEEE 30-bus and IEEE 39-bus system. The results obtained show that the proposed technique produces an optimal intentional islanding solution with lower power flow disruption compared to other existing methods.

AB - Implementation of intentional islanding can prevent the power system blackout by partitioning the system into feasible sets of islands. The main challenge in determining the optimal islanding solution is the selection of transmission lines to be disconnected (cutsets) to form islands. The islanding solution must be the optimal solution and should not destabilize or cause the system to collapse. Therefore, this work developed a Modified Discrete Particle Swarm Optimization (MDPSO) with three- stages mutation technique to determine the optimal intentional islanding solution. An initial solution based heuristic method is used to assists the MDPSO technique to find the optimal islanding solution with minimal power disruption as its objective function. The post- islanding generation-load balance and transmission line power flow analysis are assessed to ensure the steady state stability is maintained in each island. The load shedding algorithm is carried out if generation-load balance criteria are violated. The proposed technique is tested on a modified IEEE 30-bus and IEEE 39-bus system. The results obtained show that the proposed technique produces an optimal intentional islanding solution with lower power flow disruption compared to other existing methods.

UR - http://www.scopus.com/inward/record.url?scp=85064765715&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85064765715&partnerID=8YFLogxK

U2 - 10.1109/PECON.2018.8684097

DO - 10.1109/PECON.2018.8684097

M3 - Conference contribution

T3 - 2018 IEEE 7th International Conference on Power and Energy, PECon 2018

SP - 399

EP - 404

BT - 2018 IEEE 7th International Conference on Power and Energy, PECon 2018

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Saharuddin NZ, Zainal Abidin I, Bin Mokhlis H. Intentional Islanding Solution Based on Modified Discrete Particle Swarm Optimization Technique. In 2018 IEEE 7th International Conference on Power and Energy, PECon 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 399-404. 8684097. (2018 IEEE 7th International Conference on Power and Energy, PECon 2018). https://doi.org/10.1109/PECON.2018.8684097