Online Vulnerability Assessment in Cascading Failure Analysis Using an Intelligence Monitoring Model

Today, the Special Protection Scheme usage has been proposed as an effective and efficient strategy to reduce the impact of disturbance and avoid the occurrence of blackouts of the transmission network, which has different tasks. One of the tasks of the Special Protection Scheme is to develop a corr...

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Main Authors: Saber Armaghani, Zahra Moravej
Format: Article
Language:fas
Published: Semnan University 2024-08-01
Series:مجله مدل سازی در مهندسی
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Online Access:https://modelling.semnan.ac.ir/article_8431_bc13decf7e0f63366eaf4354ad029d9d.pdf
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author Saber Armaghani
Zahra Moravej
author_facet Saber Armaghani
Zahra Moravej
author_sort Saber Armaghani
collection DOAJ
description Today, the Special Protection Scheme usage has been proposed as an effective and efficient strategy to reduce the impact of disturbance and avoid the occurrence of blackouts of the transmission network, which has different tasks. One of the tasks of the Special Protection Scheme is to develop a corrective control action to prevent the occurrence of long-term voltage instability. In this paper, a new model is proposed in the Special Protection Scheme for long-term under-voltage load shedding, which is based on minimizing the shedding cost and power losses in power systems, modeling voltage-dependent loads, load response model, and considering feeders. The economic and technical considerations in the proposed model play an essential role in the characteristics of the Special Protection Scheme for under voltage load shedding. Thus, in this paper, Demand Response modeling will be based on determining the cost of electric energy consumption in the emergency of the network in such a way as to cause a shift of consumption to improve the performance of the network. Since load feeders and load response are considered in this paper, the mentioned problem is defined in the form of discrete-continuous optimization to determine the location and amount of necessary load removal as well as the amount of load transfer between the load buses to establish long-term voltage stability in the transmission network using discrete and continuous particle swarm algorithm. The proposed model has been simulated in the standard IEEE 57-bus test system to determine and prove the effectiveness of the proposed Special Protection Scheme for load shedding.
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series مجله مدل سازی در مهندسی
spelling doaj-art-508bc76ae36b4d7a80fb19b1a2e02ce22025-01-15T08:15:50ZfasSemnan Universityمجله مدل سازی در مهندسی2008-48542783-25382024-08-01227727329010.22075/jme.2024.31740.25308431Online Vulnerability Assessment in Cascading Failure Analysis Using an Intelligence Monitoring ModelSaber Armaghani0Zahra Moravej1Postdoctoral researcher, Faculty of Electrical and Computer Engineering, Semnan University, Semnan, IranProfessor, Faculty of Electrical and Computer Engineering, Semnan University, Semnan, Iran.Today, the Special Protection Scheme usage has been proposed as an effective and efficient strategy to reduce the impact of disturbance and avoid the occurrence of blackouts of the transmission network, which has different tasks. One of the tasks of the Special Protection Scheme is to develop a corrective control action to prevent the occurrence of long-term voltage instability. In this paper, a new model is proposed in the Special Protection Scheme for long-term under-voltage load shedding, which is based on minimizing the shedding cost and power losses in power systems, modeling voltage-dependent loads, load response model, and considering feeders. The economic and technical considerations in the proposed model play an essential role in the characteristics of the Special Protection Scheme for under voltage load shedding. Thus, in this paper, Demand Response modeling will be based on determining the cost of electric energy consumption in the emergency of the network in such a way as to cause a shift of consumption to improve the performance of the network. Since load feeders and load response are considered in this paper, the mentioned problem is defined in the form of discrete-continuous optimization to determine the location and amount of necessary load removal as well as the amount of load transfer between the load buses to establish long-term voltage stability in the transmission network using discrete and continuous particle swarm algorithm. The proposed model has been simulated in the standard IEEE 57-bus test system to determine and prove the effectiveness of the proposed Special Protection Scheme for load shedding.https://modelling.semnan.ac.ir/article_8431_bc13decf7e0f63366eaf4354ad029d9d.pdfspecial protection schemeunder voltage load sheddingshedding cost and loss minimizationprice based demand response modelmixed integer optimization problemdiscrete- continuous pso algorithm
spellingShingle Saber Armaghani
Zahra Moravej
Online Vulnerability Assessment in Cascading Failure Analysis Using an Intelligence Monitoring Model
مجله مدل سازی در مهندسی
special protection scheme
under voltage load shedding
shedding cost and loss minimization
price based demand response model
mixed integer optimization problem
discrete- continuous pso algorithm
title Online Vulnerability Assessment in Cascading Failure Analysis Using an Intelligence Monitoring Model
title_full Online Vulnerability Assessment in Cascading Failure Analysis Using an Intelligence Monitoring Model
title_fullStr Online Vulnerability Assessment in Cascading Failure Analysis Using an Intelligence Monitoring Model
title_full_unstemmed Online Vulnerability Assessment in Cascading Failure Analysis Using an Intelligence Monitoring Model
title_short Online Vulnerability Assessment in Cascading Failure Analysis Using an Intelligence Monitoring Model
title_sort online vulnerability assessment in cascading failure analysis using an intelligence monitoring model
topic special protection scheme
under voltage load shedding
shedding cost and loss minimization
price based demand response model
mixed integer optimization problem
discrete- continuous pso algorithm
url https://modelling.semnan.ac.ir/article_8431_bc13decf7e0f63366eaf4354ad029d9d.pdf
work_keys_str_mv AT saberarmaghani onlinevulnerabilityassessmentincascadingfailureanalysisusinganintelligencemonitoringmodel
AT zahramoravej onlinevulnerabilityassessmentincascadingfailureanalysisusinganintelligencemonitoringmodel