Bidding decision-making support system for power supplier based on multi-agent system

In order to make the bidding decision-making of power suppliers more reasonable, it has been proposed to apply Agent technology in the bidding decision support system of power supplier in this paper. Firstly, the layered model of the bidding decision support system for power supplier has been proposed. In this model, the system composes of four layers: data gathering layer, data processing layer, bidding analyzing layer and bidding decision-making layer. Additionally, in order to realize the human-computer interaction, the presentation layer has been added in the system. In the presentation layer, in order to integrate the useful web data to data warehouse, the method is proposed to transfer the HTML page into XML data source combined with Agent technology. So, the power supplier could make the best of network resource, and transfer them into own data warehouse for building the optimal bidding strategy. Then, the applications of Agent on the application layer and on the data layer are analyzed respectively. In the implementation of the functional Agent, it is the blackboard system that has been used to design communication mode, the Agent is constructed by the deliberative Agent structure, and by KQML language, the communication principle and communication language among the function modules has been realized. According to this method, the feasible and efficient bidding decision support system could be constituted for the power supplier. Finally an example of application has been given to illustrate that it is valuable for the power supplier to constitute the bidding decision-making support system based on multi-Agent for optimal bidding strategy.