A power flow solvability identification and calculation algorithm using evolutionary programming (EP) / Kahardi Muhammad Talib

Muhammad Talib, Kahardi (2016) A power flow solvability identification and calculation algorithm using evolutionary programming (EP) / Kahardi Muhammad Talib. Degree thesis, Universiti Teknologi MARA (UiTM).

Abstract

Power flow is the solution for the static operating condition of an electric-power transmission system with a set of system parameters and properties. This paper proposes the Evolutionary Programming (EP) technique to estimate the power flow solvability by using IEEE 6-bus Reliability Test System (RTS).

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Muhammad Talib, Kahardi
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Musirin, Ismail (Dr.)
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Evolutionary programming (Computer science). Genetic algorithms
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electric power distribution. Electric power transmission
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering
Programme: Bachelor in Electrical Engineering (Hons.)
Keywords: Voltage, Power, Magnitude
Date: 2016
URI: https://ir.uitm.edu.my/id/eprint/86933
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