DocumentCode :
3533718
Title :
Optimal investment assessment for distribution reliability through a multi-objective evolutionary algorithm
Author :
Conti, S. ; Nicolosi, R. ; Rizzo, S.A.
Author_Institution :
Univ. of Catania, Catania, Italy
fYear :
2011
fDate :
14-16 June 2011
Firstpage :
774
Lastpage :
777
Abstract :
Reliability is an increasingly important issue in power systems. As well known, problems in distribution systems are the main responsible of customer unavailability. In the last years, the utility interest in the improvement of the reliability in power systems is continuously growing thanks to the deregulation of the electricity market. It is known that inserting switches along the network positively affects the distribution systems reliability but, of course, it involves utility costs. This paper deals with the optimal choice of number, type and location of telecontrolled/automated circuit breakers and sectionalizers in distribution systems taking into account their cost. The optimization problem has been solved by means of a multi-objective evolutionary algorithm able to provide the minimum cost investment required to obtain a given network reliability, as well as the maximum reliability that can be achieved for a given economic investment.
Keywords :
circuit breakers; optimisation; power distribution economics; power distribution reliability; power markets; customer unavailability; distribution reliability; economic investment; electricity market; multiobjective evolutionary algorithm; optimal investment assessment; optimization problem; power distribution systems; sectionalizers; telecontrolled/automated circuit breakers; Circuit breakers; Indexes; Integrated circuit reliability; Investments; Optimization; Power system reliability; Distribution Systems; Multi-Objective Optimization; Reliability; Switches Placement; Utility costs;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Clean Electrical Power (ICCEP), 2011 International Conference on
Conference_Location :
Ischia
Print_ISBN :
978-1-4244-8929-9
Electronic_ISBN :
978-1-4244-8928-2
Type :
conf
DOI :
10.1109/ICCEP.2011.6036391
Filename :
6036391
Link To Document :
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