Optimal SVC allocation in power systems for loss minimization and voltage deviation reduction

M. Hadi Amini; Rupamathi Jaddivada; Bakhtyar Hoseinzadeh; Sakshi Mishra; Mostafa Rezaei Mozafar

doi:10.1007/978-3-319-74412-4_12

Optimal SVC allocation in power systems for loss minimization and voltage deviation reduction

M. Hadi Amini^*, Rupamathi Jaddivada, Bakhtyar Hoseinzadeh, Sakshi Mishra, Mostafa Rezaei Mozafar

^*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceeding › Book chapter › Research › peer-review

2 Citations (Scopus)

Abstract

Transient stabilization of the power system network is of major importance in this era of the deregulated power systems. Static VAR compensator (SVC) proves to be more economical and efficient than its other counterparts. Due to installation cost of SVCs, there is an exigent requirement to optimize the SVC installation that could yield maximum benefit. In this paper, first the contingencies that result in maximum disturbance to the grid are realized and ranked accordingly. The measurement used for this purpose is the voltage profile index. Next, genetic algorithm has been used to find out the rating of the SVC and its location that could mitigate the contingency and minimize the weighted sum of the total power loss in the grid, sum of voltage deviations at all the buses, and the rating of SVC to be installed. The weights of each of the objective function terms are assigned according to their importance for the system. In order to evaluate the effectiveness of the proposed approach, it is applied to two test networks. It has been found out that the obtained SVC location and rating maintained voltage security and minimized power loss in the event of contingency.

Original language	English
Title of host publication	Sustainable Interdependent Networks : From Theory to Application
Editors	M. Hadi Amini, Kianoosh G. Boroonjeni, S.S. Iyengar, Panos M. Pardalos, Frede Blaabjerg, Asad M. Madni
Number of pages	12
Publisher	Springer Publishing Company
Publication date	1 Jan 2018
Pages	221-232
Chapter	12
DOIs	https://doi.org/10.1007/978-3-319-74412-4_12
Publication status	Published - 1 Jan 2018

Series	Studies in Systems, Decision and Control
Volume	145
ISSN	2198-4182

Keywords

Genetic algorithm
Real power losses
Static VAR compensator (SVC)
Voltage profile index

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10.1007/978-3-319-74412-4_12

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Amini, M. H., Jaddivada, R., Hoseinzadeh, B., Mishra, S., & Mozafar, M. R. (2018). Optimal SVC allocation in power systems for loss minimization and voltage deviation reduction. In M. H. Amini, K. G. Boroonjeni, S. S. Iyengar, P. M. Pardalos, F. Blaabjerg, & A. M. Madni (Eds.), Sustainable Interdependent Networks: From Theory to Application (pp. 221-232). Springer Publishing Company. https://doi.org/10.1007/978-3-319-74412-4_12

Amini, M. Hadi ; Jaddivada, Rupamathi ; Hoseinzadeh, Bakhtyar et al. / Optimal SVC allocation in power systems for loss minimization and voltage deviation reduction. Sustainable Interdependent Networks: From Theory to Application. editor / M. Hadi Amini ; Kianoosh G. Boroonjeni ; S.S. Iyengar ; Panos M. Pardalos ; Frede Blaabjerg ; Asad M. Madni. Springer Publishing Company, 2018. pp. 221-232 (Studies in Systems, Decision and Control, Vol. 145).

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abstract = "Transient stabilization of the power system network is of major importance in this era of the deregulated power systems. Static VAR compensator (SVC) proves to be more economical and efficient than its other counterparts. Due to installation cost of SVCs, there is an exigent requirement to optimize the SVC installation that could yield maximum benefit. In this paper, first the contingencies that result in maximum disturbance to the grid are realized and ranked accordingly. The measurement used for this purpose is the voltage profile index. Next, genetic algorithm has been used to find out the rating of the SVC and its location that could mitigate the contingency and minimize the weighted sum of the total power loss in the grid, sum of voltage deviations at all the buses, and the rating of SVC to be installed. The weights of each of the objective function terms are assigned according to their importance for the system. In order to evaluate the effectiveness of the proposed approach, it is applied to two test networks. It has been found out that the obtained SVC location and rating maintained voltage security and minimized power loss in the event of contingency.",

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Amini, MH, Jaddivada, R, Hoseinzadeh, B, Mishra, S & Mozafar, MR 2018, Optimal SVC allocation in power systems for loss minimization and voltage deviation reduction. in MH Amini, K G. Boroonjeni, SS Iyengar, P M. Pardalos, F Blaabjerg & A M. Madni (eds), Sustainable Interdependent Networks: From Theory to Application. Springer Publishing Company, Studies in Systems, Decision and Control, vol. 145, pp. 221-232. https://doi.org/10.1007/978-3-319-74412-4_12

Optimal SVC allocation in power systems for loss minimization and voltage deviation reduction. / Amini, M. Hadi; Jaddivada, Rupamathi; Hoseinzadeh, Bakhtyar et al.
Sustainable Interdependent Networks: From Theory to Application. ed. / M. Hadi Amini; Kianoosh G. Boroonjeni; S.S. Iyengar; Panos M. Pardalos; Frede Blaabjerg; Asad M. Madni. Springer Publishing Company, 2018. p. 221-232 (Studies in Systems, Decision and Control, Vol. 145).

Research output: Contribution to book/anthology/report/conference proceeding › Book chapter › Research › peer-review

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AU - Mozafar, Mostafa Rezaei

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N2 - Transient stabilization of the power system network is of major importance in this era of the deregulated power systems. Static VAR compensator (SVC) proves to be more economical and efficient than its other counterparts. Due to installation cost of SVCs, there is an exigent requirement to optimize the SVC installation that could yield maximum benefit. In this paper, first the contingencies that result in maximum disturbance to the grid are realized and ranked accordingly. The measurement used for this purpose is the voltage profile index. Next, genetic algorithm has been used to find out the rating of the SVC and its location that could mitigate the contingency and minimize the weighted sum of the total power loss in the grid, sum of voltage deviations at all the buses, and the rating of SVC to be installed. The weights of each of the objective function terms are assigned according to their importance for the system. In order to evaluate the effectiveness of the proposed approach, it is applied to two test networks. It has been found out that the obtained SVC location and rating maintained voltage security and minimized power loss in the event of contingency.

AB - Transient stabilization of the power system network is of major importance in this era of the deregulated power systems. Static VAR compensator (SVC) proves to be more economical and efficient than its other counterparts. Due to installation cost of SVCs, there is an exigent requirement to optimize the SVC installation that could yield maximum benefit. In this paper, first the contingencies that result in maximum disturbance to the grid are realized and ranked accordingly. The measurement used for this purpose is the voltage profile index. Next, genetic algorithm has been used to find out the rating of the SVC and its location that could mitigate the contingency and minimize the weighted sum of the total power loss in the grid, sum of voltage deviations at all the buses, and the rating of SVC to be installed. The weights of each of the objective function terms are assigned according to their importance for the system. In order to evaluate the effectiveness of the proposed approach, it is applied to two test networks. It has been found out that the obtained SVC location and rating maintained voltage security and minimized power loss in the event of contingency.

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ER -

Amini MH, Jaddivada R, Hoseinzadeh B, Mishra S, Mozafar MR. Optimal SVC allocation in power systems for loss minimization and voltage deviation reduction. In Amini MH, G. Boroonjeni K, Iyengar SS, M. Pardalos P, Blaabjerg F, M. Madni A, editors, Sustainable Interdependent Networks: From Theory to Application. Springer Publishing Company. 2018. p. 221-232. (Studies in Systems, Decision and Control, Vol. 145). doi: 10.1007/978-3-319-74412-4_12

Optimal SVC allocation in power systems for loss minimization and voltage deviation reduction

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