期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2015
卷号：81
期号：3
出版社：Journal of Theoretical and Applied
摘要：In deregulated power market, providing a fair and non-discriminatory service pricing is still in debate on �who should be blame� for the losses contribution. The use of traditional methods such as postage stamp and MW mile methodology is said to be unreliable and biasing because of neglecting the power flow and physical constraints. Thus, a new theory called electricity tracing has been developed to solve the problem concerning non-discriminatory tranmission service pricing. The most common methods used are Proportional Sharing Principle (PSP) and Superposition Theorem (ST). However, due to necessity of matrix inversion and singularity of matrix in the mathematical equation, it is likely an error will occur and result in unsatisfactory outputs. To explore a new method, this paper demonstrates an Artificial Intelligence (AI) based optimization method, that is, Flower Pollination Algorithm (FPA) to perform real power generation tracing. The experiment and comparative studies on IEEE-14 bus power system have verified the capability of the proposed method for real system application with promising results.
