Optimal VAr Expansion Considering ATC Using Strength Pareto Evolutionary Algorithm

Eghbal, Mehdi, Yorino, Naoto, El-Araby, E. E. and Zoka, Yoshifumi (2008). Optimal VAr Expansion Considering ATC Using Strength Pareto Evolutionary Algorithm. In: NAPS Proceedings: 40th North American Power Symposium 2008 (NAPS '08). 40th North American Power Symposium (NAPS 2008), Calgary, Canada, (550-555). 28-30 September 2008. doi:10.1109/NAPS.2008.5307330


Author Eghbal, Mehdi
Yorino, Naoto
El-Araby, E. E.
Zoka, Yoshifumi
Title of paper Optimal VAr Expansion Considering ATC Using Strength Pareto Evolutionary Algorithm
Conference name 40th North American Power Symposium (NAPS 2008)
Conference location Calgary, Canada
Conference dates 28-30 September 2008
Proceedings title NAPS Proceedings: 40th North American Power Symposium 2008 (NAPS '08)
Journal name 2008 40th North American Power Symposium (naps 2008)
Place of Publication Piscataway, NJ, United States
Publisher IEEE
Publication Year 2008
Sub-type Fully published paper
DOI 10.1109/NAPS.2008.5307330
ISBN 9781424442836
Start page 550
End page 555
Total pages 6
Language eng
Abstract/Summary This paper presents the application of Strength Pareto Evolutionary Algorithm (SPEA) to find the optimal solution of VAr expansion problem considering the enhancement of Available Transmission Capacity (ATC). The problem is formulated as a nonlinear constrained multi-objective optimization problem. The aim is to obtain an optimal allocation of VAr devices that is optimal in terms of minimizing the total incurred cost and maximizing the amount of ATC. To procure the exact cost of the VAr expansion problem, operation and control costs during all system transition states are calculated. Corrective/preventive controls are utilized to maintain the desired voltage security level. Installation of new VAr devices is proved to improve the amount of ATC, on the other hand it increases the investment cost which conflicts with the objective function of VAr expansion problem. Therefore, an evolutionary technique called SPEA is used to optimize the objective functions simultaneously. The proposed approach has been successfully tested on IEEE 14 bus system.
Keyword Available Transmission Capacity
Multi-objective optimization
Optimal VAr expansion
Strength Pareto Evolutionary Algorithm
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Non-UQ
Additional Notes Article # 5307330

 
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Created: Thu, 16 Dec 2010, 09:00:27 EST