A novel technique for generation tracing via Evolutionary Programming

Author

Hamid, Z.A. ; Musirin, I. ; Othman, M.M. ; Rahim, M.N.A.

Author_Institution

Fac. of Electr. Eng., Univ. Teknol. MARA, Shah Alam, Malaysia

fYear

2011

fDate

6-7 June 2011

Firstpage

381

Lastpage

386

Abstract

On account of the inability of transaction based charging method to provide fair and non-discriminatory transmission service pricing, tracing the flow of electricity becomes an essential part in deregulated power system and has attracted many researchers regarding on how to improve and streamline the method of charge allocation. The existing power tracing techniques still necessitate for an assumption and also demands for matrix inversion operation, which has limited their usage especially when the matrix to be inversed is not singular. This paper presents a novel technique for allocating the losses and load powers to all generators by means of Evolutionary Programming (EP) algorithm. The developed algorithm has been experimented on IEEE 57-bus RTS and the results revealed that EP can also be a sophisticated tool to be applied in power tracing field with tolerable computation time.

Keywords

evolutionary computation; power generation economics; power transmission economics; IEEE 57-bus RTS; charge allocation; deregulated power system; evolutionary programming; flow tracing; generation tracing; matrix inversion operation; nondiscriminatory transmission service pricing; power tracing; transaction based charging; Electricity; Generators; Load flow; Optimization; Programming; Resource management; Evolutionary Programming; Generation Tracing Optimization; Proportional Sharing Principle;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering and Optimization Conference (PEOCO), 2011 5th International

Conference_Location

Shah Alam, Selangor

Print_ISBN

978-1-4577-0355-3

Type

conf

DOI

10.1109/PEOCO.2011.5970425

Filename

5970425