Title :
An Agent-based Design of Electricity Bidding Decision Support System for Pumped Storage Power Station
Author :
Han Fengwu ; Meng Xiangsong
Author_Institution :
Economic & Manage. Sch., North China Electr. Power Univ., Baoding
Abstract :
For electricity bidding of pumped storage power station, an agent-based decision support system is designed, which is easier extensively and can be upgraded easily. At the same time, (Common Object Request Broker Architecture) and KQML (Knowledge Query and Manipulation Language) are selected to implement standard communications among different operation systems. And programming language JAVA is selected because of its advantages in net communications and securities. At last, a electricity bidding stratagem is advised that prices for electricity bidding should start at the same maximum not only in the short time but also in the long time, and than its value decreases gradually with different ends.
Keywords :
decision support systems; multi-agent systems; power engineering computing; power markets; pricing; pumped-storage power stations; JAVA; agent-based design; common object request broker architecture; electricity bidding decision support system; knowledge query; manipulation language; pumped storage power station; Decision support systems; Electricity supply industry; Energy management; History; Mesh generation; Power generation; Power generation economics; Power grids; Power system economics; Power system management; Agent; price bidding; pumped storage power station;
Conference_Titel :
Industrial and Information Systems, 2009. IIS '09. International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-3618-7
DOI :
10.1109/IIS.2009.119