The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMS
Transactions ID Number: 28-403
Full Name: Mihai Gavrilas
Position: Professor
Age: ON
Sex: Male
Address: 51 D. Mangeron Blvd., Iasi, 700050
Country: ROMANIA
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E-mail address: mgavril@ee.tuiasi.ro
Other E-mails: mgavrilas@yahoo.com
Title of the Paper: REI Equivalent Design for Electric Power Systems with Genetic Algorithms
Authors as they appear in the Paper: Mihai Gavrilas, Ovidiu Ivanov, Gilda Gavrilas
Email addresses of all the authors: mgavril@ee.tuiasi.ro,ovidiuivanov@yahoo.com,gildagavrilas@yahoo.com
Number of paper pages: 11
Abstract: Present day power systems are often large or very large systems, with a high degree of interconnectivity. Their analysis can be simplified using network equivalents, which decrease the size of the system by replacing a significant part of it with only a few nodes. The chosen equivalent is the REI equivalent. This paper describes a new approach to the problem of the REI equivalent design optimization, based on the sensitivity of the complex bus voltage from the internal unmodified section of the power system to a set of simulated representative contingencies. The optimal equivalents are determined using artificial intelligence techniques, namely genetic algorithms. The optimum design of the REI equivalent aimed to determine the number of REI buses to be used and the aggregation of external buses into the REI buses. The method was tested on a slightly modified version of the IEEE 57 bus test system. The obtained results prove the efficiency of the proposed method.
Keywords: Static network equivalents, REI equivalent, Load flow analysis, Contingency, Genetic algorithms, Sensitivity analysis
EXTENSION of the file: .pdf
Special (Invited) Session: A New Static Network Reduction Technique Based on REI Equivalents and Genetic Optimization
Organizer of the Session: 599-185
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