Title :
A basic study on autonomous decentralized operation for distributed energy systems
Author :
Yasuda, Keiichiro ; Oya, Shunsuke ; Tamura, Kenichi
Author_Institution :
Dept. of Electr. & Electron. Eng., Tokyo Metropolitan Univ., Hachioji, Japan
Abstract :
This paper deals with autonomous decentralized operation for a distributed energy system composed of a number of customers with dispersed generation and storage systems. The distributed energy system studied in this paper has the following operation structures: (1) Operation for customer´s energy storage which is decided by production rules with learning function, and (2) Operation for power flow on distribution network which is determined by a successive approximation method. In this paper, we especially study the autonomous decentralized operation in (1). To enhance the autonomy and effectiveness of the autonomous decentralized operation a distributed energy system, Genetic Algorithm is applied to learning of production rules.
Keywords :
approximation theory; decentralised control; distributed control; distributed power generation; genetic algorithms; learning systems; power distribution control; power generation control; autonomous decentralized operation; customer energy storage; dispersed generation system; dispersed storage system; distributed energy system; distribution network; genetic algorithm; learning function; power flow; production rule learning; successive approximation method; Approximation methods; Electricity; Energy storage; Load modeling; Numerical simulation; Power systems; Production; Autonomous Decentralized Operation; Dispersed Generation; Distributed Energy Systems; Genetic Algorithm; Learning Function; Rule-Based;
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-1713-9
Electronic_ISBN :
978-1-4673-1712-2
DOI :
10.1109/ICSMC.2012.6378281
