Use of a fuzzy logic algorithm for the power generation scheduling of a remote hybrid energy system

Iyer, V., Fung, C.C. and Maynard, C. (1998) Use of a fuzzy logic algorithm for the power generation scheduling of a remote hybrid energy system. In: Proceedings of the International Conference on Optimization Techniques and Applications ICOTA’98, Perth, Western Australia 941 -947.

Abstract

This paper deals with the optimisation of the operation of a hybrid energy system used in a remote area power supply. Remote area power supply (RAPS) systems are chosen as economic alternatives to the extension of grid supply to consumers in remote areas. A system consisting of a diesel generator, solar source and battery backup is investigated. A fuzzy logic algorithm is used to determine the diesel generator schedule and the battery charge/discharge strategy. The method is used to schedule the operation of the generator and the battery for the next 24 hours on an hourly basis. The simulation of the algorithm is tested on a system operating at a remote site in the Northern Territory in Australia. The results are found to be more cost efficient than the existing operation strategy.

Publication Type:	Conference Paper
Murdoch Affiliation:	School of Information Technology
Publisher:	School of Mathematics and Statistics, Curtin University of Technology
URI:	http://researchrepository.murdoch.edu.au/id/eprint/21998

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