Decentralized autonomous control of super distributed energy systems

Author

Yasuda, Keiichiro ; Ishii, Tsunayoshi

Author_Institution

Dept. of Electr. Eng., Tokyo Metropolitan Univ., Japan

Volume

6

fYear

2002

fDate

6-9 Oct. 2002

Abstract

This paper focuses on a super distributed energy system that consists of a number of dispersed generation systems such as fuel cells, micro gas-turbines, and so on. The behavior of a customer with a dispersed generation system is modeled on the Ising spin model in statistical mechanics. The validity of the modeling of the behavior of a customer is verified based on the Monte Carlo simulation. The feasibility of the decentralized autonomous control using the vicinity information is also investigated on the basis of the stability analysis of the Hopfield neural network model.

Keywords

Hopfield neural nets; decentralised control; power distribution control; power system stability; statistical mechanics; Hopfield neural network; Ising spin model; decentralized autonomous control; dispersed generation system; distributed system; electric power system; fuel cells; gas-turbines; stability; statistical mechanics; Control systems; Distributed control; Distributed power generation; Fuel cells; Hydroelectric power generation; Nuclear power generation; Power generation; Power system modeling; Stability analysis; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 2002 IEEE International Conference on

ISSN

1062-922X

Print_ISBN

0-7803-7437-1

Type

conf

DOI

10.1109/ICSMC.2002.1175546

Filename

1175546