<abstract xmlns="http://www.w3.org/1999/xhtml"><p> The paper presents an evolutionary algorithm for calculating available transfer capability (ATC). ATC is a measure of the transfer capability remaining in the physical transmission network for further commercial activity over and above already committed uses. In this paper, MATLAB software is used to determine the ATC between any bus in deregulated power systems without violating system constraints such as thermal, voltage, and stability constraints. The algorithm is applied on IEEE 5 bus system and on IEEE 30 bus system.</p></abstract>

The paper presents an evolutionary algorithm for calculating available transfer capability (ATC). ATC is a measure of the transfer capability remaining in the physical transmission network for further commercial activity over and above already committed uses. In this paper, MATLAB software is used to determine the ATC between any bus in deregulated power systems without violating system constraints such as thermal, voltage, and stability constraints. The algorithm is applied on IEEE 5 bus system and on IEEE 30 bus system.

Evolutionary Algorithm for Calculating Available Transfer Capability

Faculty of Electrical Engineering, University of Belgrade, Bulevar kralja Aleksandra 73, 11000 Belgrade, Serbia

Journal of Electrical Engineering

{"article-title":"Evolutionary Algorithm for Calculating Available Transfer Capability"}

The paper presents an evolutionary algorithm for calculating available transfer capability (ATC). ATC is a measure of the transfer capability remaining in the...

Evolutionary Algorithm for Calculating Available Transfer Capability

Online veröffentlicht: 15. Okt. 2013

Seitenbereich: 1 - 7

DOI: https://doi.org/10.2478/jee-2013-0042

Schlüsselwörter
power systems, available transfer capability (ATC), genetic algorithm (GA), power transfer distribution factor (PTDF), symbolic analysis

This content is open access.

Evolutionary Algorithm for Calculating Available Transfer Capability

Online veröffentlicht: 15. Okt. 2013

Seitenbereich: 1 - 7

DOI: https://doi.org/10.2478/jee-2013-0042

Schlüsselwörterpower systems, available transfer capability (ATC), genetic algorithm (GA), power transfer distribution factor (PTDF), symbolic analysis

This content is open access.

Schlüsselwörter
power systems, available transfer capability (ATC), genetic algorithm (GA), power transfer distribution factor (PTDF), symbolic analysis