Title :
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
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;
Conference_Titel :
Power Engineering and Optimization Conference (PEOCO), 2011 5th International
Conference_Location :
Shah Alam, Selangor
Print_ISBN :
978-1-4577-0355-3
DOI :
10.1109/PEOCO.2011.5970425