Title :
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
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;
Conference_Titel :
Transmission and Distribution Conference and Exhibition 2002: Asia Pacific. IEEE/PES
Print_ISBN :
0-7803-7525-4
DOI :
10.1109/TDC.2002.1176843
