The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON POWER SYSTEMS
Transactions ID Number: 32-529
Full Name: Narmatha Banu
Position: Senior Lecturer
Age: ON
Sex: Female
Address: Department of EEE, Kalasalingam University, Anand Nagar, Krishnan koil, Virudhunagar (Dist), Tamilnadu (state).
Country: INDIA
Tel: +914563289042
Tel prefix:
Fax: +914563289322
E-mail address: narmi800@yahoo.co.in
Other E-mails: narmi8001@rediffmail.com,deva230@yahoo.com
Title of the Paper: Multi-objective Genetic Algorithm for Security Enhancement
Authors as they appear in the Paper: D.Devaraj, R.Narmatha Banu
Email addresses of all the authors: deva230@yahoo.com,narmi800@yahoo.co.in
Number of paper pages: 11
Abstract: This paper reports an application of Multi-objective Evolutionary algorithm for solving the security enhancement problem. Generation rescheduling and adjustment of TCSC are used to alleviate the line overload. The probable locations of TCSC are pre-selected based on Line overload Sensitivity (LOS) index which ranks the system branches according to their severity. The security enhancement problem is formulated as a multi-objective optimization problem with minimization of investment cost of Thyristor Controlled Series Capacitor (TCSC) and minimization of control variable adjustment cost as objectives. Non-dominated sorting algorithm is applied to solve this multi-objective optimization problem. The proposed approach has been evaluated on the IEEE 30-bus test system. Simulation results show the effectiveness of the proposed approach for solving the multi-objective optimal power flow problem.
Keywords: Power system security, Flexible AC transmission system (FACTS) devices, Thyristor Controlled Series Capacitors (TCSCs), Genetic Algorithm, Non â"dominated sorting genetic algorithm, Pareto optimal frontier.
EXTENSION of the file: .doc
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