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AI solution to economic dispatch / Nur Farhanah Wakiman

By:

Nur Farhanah Wakiman

Material type: Text

TextPublication details: Kuantan, Pahang : UMP, 2009Description: xvi, 71 p. : ill. (some col.) ; 30 cm. + 1 computer discISBN:

THE0006720(Local)

Other title:

AI solution to economic dispatch [computer file]

Subject(s):

Dissertation note: Project paper (Bachelor of Electrical Engineering (Hons.) (Power System) -- Universiti Malaysia Pahang - 2009 Abstract: In this study, proposes an AI optimization method for solving the economic dispatch (ED) problem in power systems. Many nonlinear characteristics of the generator, such as ramp rate limits, prohibited operating zone, and non-smooth cost functions are considered using the proposed method in practical generator operation. The feasibility of the proposed method is demonstrated for two different systems, and it is compared with the Conventional method in terms of the solution quality and computation efficiency. The experimental results show that the proposed PSO method was indeed capable of obtaining higher quality solutions efficiently in ED problems.

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Holdings ( 2 )
Title notes ( 3 )

Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Final Year Report	UMPLIB PEKAN	TK1191 .F37 2009 rs Bc. (Browse shelf(Opens below))	1	Not for loan		0000058191
Final Year Report	UMPLIB PEKAN	CD 5295 \| TK1191 .F37 2009 rs Bc. (Browse shelf(Opens below))	1	Not for loan		0000058192

Project paper (Bachelor of Electrical Engineering (Hons.) (Power System) -- Universiti Malaysia Pahang - 2009

Bibliography : p. 44

In this study, proposes an AI optimization method for solving the economic dispatch (ED) problem in power systems. Many nonlinear characteristics of the generator, such as ramp rate limits, prohibited operating zone, and non-smooth cost functions are considered using the proposed method in practical generator operation. The feasibility of the proposed method is demonstrated for two different systems, and it is compared with the Conventional method in terms of the solution quality and computation efficiency. The experimental results show that the proposed PSO method was indeed capable of obtaining higher quality solutions efficiently in ED problems.