Ripple Control as a possible tool for daily load balancing in an open electricity market environment

Author

Raisz, David ; Dan, Andras M.

Author_Institution

Budapest Univ. of Technol. & Econ., Budapest

fYear

2005

fDate

27-30 June 2005

Firstpage

1

Lastpage

6

Abstract

In this paper the effective usage of Ripple Control Systems (RCS) is investigated from the point of view of daily load balancing. A computer simulation model is developed to be able to study the power consumption of RCS-controllable groups and their impact on the daily load curve. The design of an appropriate switching pattern is formulated as an optimization problem with the objective of the highest possible minimal daily load constrained by duration of service and derivative conditions. After the decomposition of the problem a fuzzy logic and genetic algorithm based optimization method is developed. The efficiency of the method is shown comparing different switching patterns by computer simulations.

Keywords

fuzzy logic; genetic algorithms; load management; power markets; daily load balancing; daily load curve; fuzzy logic; genetic algorithm; open electricity market environment; optimization method; power consumption; ripple control systems; switching pattern; Computer simulation; Constraint optimization; Control systems; Design optimization; Electricity supply industry; Energy consumption; Fuzzy logic; Genetic algorithms; Load management; Power system modeling; Fuzzy Logic; Genetic Algorithms; Load management; Optimization methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Tech, 2005 IEEE Russia

Conference_Location

St. Petersburg

Print_ISBN

978-5-93208-034-4

Electronic_ISBN

978-5-93208-034-4

Type

conf

DOI

10.1109/PTC.2005.4524451

Filename

4524451