Analysis and autonomous distributed control of super distributed energy systems

Author

Yasuda, Keiichiro ; Ishii, Tsunayoshi

Author_Institution

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

Volume

3

fYear

2002

fDate

6-10 Oct. 2002

Firstpage

1628

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 autonomous distributed control using vicinity information is also investigated on the basis of stability analysis of the Hopfield neural network model.

Keywords

Hopfield neural nets; Monte Carlo methods; control system analysis; control system synthesis; distributed control; distributed power generation; power generation control; power system stability; Hopfield neural network model; Ising spin model; Monte Carlo simulation; autonomous distributed control; control design; control simulation; dispersed generation systems; fuel cells; micro gas-turbines; stability analysis; statistical mechanics; super distributed energy systems; Distributed control; Distributed power generation; Fuel cells; Hopfield neural networks; Hydroelectric power generation; Nuclear power generation; Power generation; Power system modeling; Stability analysis; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Transmission and Distribution Conference and Exhibition 2002: Asia Pacific. IEEE/PES

Print_ISBN

0-7803-7525-4

Type

conf

DOI

10.1109/TDC.2002.1176843

Filename

1176843