Fair allocation of distribution losses based on neural networks

• Type: Article in International Conference Proceedings Book
• Date: 2007

Authors

J. Nuno Fidalgo (Author) FEUP; João Torres (Author) FEUP; Manuel A. Matos (Author) FEUP

Conference proceedings International

Title: 2007 INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS APPLICATIONS TO POWER SYSTEMS, VOLS 1 AND 2

Pages: 589-594

14th International Conference on Intelligent System Applications to Power Systems (ISAP 2007)

Kaohsiung, TAIWAN, NOV 04-08, 2007

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 6 Citations

INSPEC

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

Other information

Authenticus ID: P-004-F73

DOI: 10.1109/isap.2007.4441685

Abstract (EN): In a competitive energy market environment, the procedure for fair loss allocation constitutes a matter of considerable importance. This task is often based on rough principles, given the difficulties on the practical implementation of a fairest process. This paper proposes a methodology based on neural networks for the distribution of power distribution losses among the loads. The process is based on the knowledge of load profiles and on the usual consumption measures. Simulations ere carried out for a typical MV network, with an extensive variety of load scenarios. For each scenario, losses were calculated and distributed by the consumers. The allocation criterion is established assuming a distribution proportional to the squared power. Finally, a neural network is trained in order to obtain a fast and accurate losses allocation. Illustrative results support the feasibility of the proposed methodology.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6