Power system intentional islanding for different contingency scenarios using discrete optimization technique
Power systems are susceptible to unavoidable failures or outages. One of these incidents is critical line outage, which can lead to the occurrence of severe cascading failures. These cascading failures can cause the system to split in an uncontrollable manner, forming unbalanced islands, which re...
Saved in:
| Main Author: | |
|---|---|
| Format: | text::Thesis |
| Language: | English |
| Published: |
2023
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
my.uniten.dspace-19483 |
|---|---|
| record_format |
dspace |
| spelling |
my.uniten.dspace-194832023-05-05T02:01:25Z Power system intentional islanding for different contingency scenarios using discrete optimization technique Nur Zawani Binti Saharuddin POWER SYSTEM INTENTIONAL ISLANDING Power systems are susceptible to unavoidable failures or outages. One of these incidents is critical line outage, which can lead to the occurrence of severe cascading failures. These cascading failures can cause the system to split in an uncontrollable manner, forming unbalanced islands, which results in severe instability problems before the system completely collapses. Intentional islanding is one of the remedial actions that can be implemented to prevent severe cascading failures following a critical line outage. This approach splits the system to form balanced, stand-alone islands in order to continuously supply electricity to the consumers until the system is completely restored. However, an optimal intentional islanding strategy is required for this purpose. Hence, this thesis proposed a Modified Discrete Evolutionary Programming (MDEP) to determine the optimal intentional islanding strategies for different large-scale power systems following a critical line outage. First, N-1 contingency analysis was performed to identify the critical line outages. Next, graph theory was used to map the network, where the physical connections of the network were represented by edges and vertices. The initial intentional islanding solution was determined using graph theory approach, to facilitate the proposed MDEP algorithm in determining the optimal intentional islanding strategy. Once the optimal solution was obtained, the power balance for each island was checked to ensure that the loadgeneration balance criterion was met. If there was power imbalance in a particular island, the MDEP-based load shedding scheme developed in this research was executed for that island. Finally, the bus voltage was checked and transmission line power flow analysis was performed to ensure that the solution did not violate the allowable voltage and transmission line capacity limits. The performance of the proposed MDEP algorithm was evaluated using the IEEE 30-bus, IEEE 39-bus, and IEEE 118-bus test systems. The results showed that the MDEP algorithm was capable of determining the optimal intentional islanding strategy (without critical line outage) with a lower total power flow disruption compared to those of other published works. In addition, the results of the case studies (with critical line outage) showed that the MDEP algorithm was able to obtain the optimal intentional islanding strategy with minimal power flow disruption. 2023-05-03T13:34:23Z 2023-05-03T13:34:23Z 2020-02-24 Resource Types::text::Thesis https://irepository.uniten.edu.my/handle/123456789/19483 en application/pdf |
| institution |
Universiti Tenaga Nasional |
| building |
UNITEN Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Tenaga Nasional |
| content_source |
UNITEN Institutional Repository |
| url_provider |
http://dspace.uniten.edu.my/ |
| language |
English |
| topic |
POWER SYSTEM INTENTIONAL ISLANDING |
| spellingShingle |
POWER SYSTEM INTENTIONAL ISLANDING Nur Zawani Binti Saharuddin Power system intentional islanding for different contingency scenarios using discrete optimization technique |
| description |
Power systems are susceptible to unavoidable failures or outages. One of these
incidents is critical line outage, which can lead to the occurrence of severe cascading
failures. These cascading failures can cause the system to split in an uncontrollable
manner, forming unbalanced islands, which results in severe instability problems
before the system completely collapses. Intentional islanding is one of the remedial
actions that can be implemented to prevent severe cascading failures following a
critical line outage. This approach splits the system to form balanced, stand-alone
islands in order to continuously supply electricity to the consumers until the system
is completely restored. However, an optimal intentional islanding strategy is required
for this purpose. Hence, this thesis proposed a Modified Discrete Evolutionary
Programming (MDEP) to determine the optimal intentional islanding strategies for
different large-scale power systems following a critical line outage. First, N-1
contingency analysis was performed to identify the critical line outages. Next, graph
theory was used to map the network, where the physical connections of the network
were represented by edges and vertices. The initial intentional islanding solution was
determined using graph theory approach, to facilitate the proposed MDEP algorithm
in determining the optimal intentional islanding strategy. Once the optimal solution
was obtained, the power balance for each island was checked to ensure that the loadgeneration
balance criterion was met. If there was power imbalance in a particular
island, the MDEP-based load shedding scheme developed in this research was
executed for that island. Finally, the bus voltage was checked and transmission line
power flow analysis was performed to ensure that the solution did not violate the
allowable voltage and transmission line capacity limits. The performance of the
proposed MDEP algorithm was evaluated using the IEEE 30-bus, IEEE 39-bus, and
IEEE 118-bus test systems. The results showed that the MDEP algorithm was
capable of determining the optimal intentional islanding strategy (without critical
line outage) with a lower total power flow disruption compared to those of other
published works. In addition, the results of the case studies (with critical line outage)
showed that the MDEP algorithm was able to obtain the optimal intentional islanding
strategy with minimal power flow disruption. |
| format |
Resource Types::text::Thesis |
| author |
Nur Zawani Binti Saharuddin |
| author_facet |
Nur Zawani Binti Saharuddin |
| author_sort |
Nur Zawani Binti Saharuddin |
| title |
Power system intentional islanding for different contingency scenarios using discrete optimization technique |
| title_short |
Power system intentional islanding for different contingency scenarios using discrete optimization technique |
| title_full |
Power system intentional islanding for different contingency scenarios using discrete optimization technique |
| title_fullStr |
Power system intentional islanding for different contingency scenarios using discrete optimization technique |
| title_full_unstemmed |
Power system intentional islanding for different contingency scenarios using discrete optimization technique |
| title_sort |
power system intentional islanding for different contingency scenarios using discrete optimization technique |
| publishDate |
2023 |
| _version_ |
1806427317914828800 |
| score |
13.222552 |