A fuzzy-based control strategy for leveling electric power fluctuations in railroad substations

Author

Funabiki, S. ; Nakano, H. ; Tanaka, T.

Author_Institution

Dept. of Electron. & Control Syst. Eng., Shimane Univ., Matsue, Japan

Volume

2

fYear

2001

fDate

22-25 Oct. 2001

Firstpage

796

Abstract

This paper proposes a fuzzy-based control strategy for leveling electric power fluctuations in railroad substations. The power control system using an SMES (superconducting magnetic energy storage) installed in the electric railroad substation absorbs energy from the AC source line when no electric car runs and discharges energy when the railroad substation must supply high electric power to electric cars. The proposed control strategy is based on fuzzy reasoning, in which fuzzy rules are applied to the current fluctuating pattern and the energy stored in the SMES. The reduction in the rated capacity of electric installations and power loss is evaluated. The energy capacity of SMES and the scaling factor in fuzzy reasoning are discussed.

Keywords

control system analysis; control system synthesis; fuzzy control; load management; power system control; railways; substations; superconducting magnet energy storage; SMES; electric power fluctuations levelling; energy capacity; fuzzy reasoning; fuzzy rules; fuzzy-based control strategy; power control system; power loss; railroad substations; scaling factor; superconducting magnetic energy storage; Fault location; Fluctuations; Fuzzy control; Fuzzy reasoning; Power control; Power supplies; Power system stability; Samarium; Substations; Superconducting magnetic energy storage;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics and Drive Systems, 2001. Proceedings., 2001 4th IEEE International Conference on

Print_ISBN

0-7803-7233-6

Type

conf

DOI

10.1109/PEDS.2001.975420

Filename

975420