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