Abstract
This paper involved two parts: the agent-based modeling method and simulation system of the consumers in smart grid, to analyze electricity consumption in different conditions. This paper combines the key technologies of electrical disciplines and information science. The model of consumers in smart grid is based on the agent-based modeling method and simulation system, to realize the consumer's respondence to the price of electric power. Plenty of price strategies are simulated in the model, according to the data which is obtained from the experiment. It provides the support of model and simulation system for generating the scientific price strategy in smart grid.
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