In the study of large-scale energy management system, NetLogo, an agent-based modeling environment for simulating social phenomena, is thought to be effective. So we tried to make a simulation model of power demand in a community and succeed to reproduce the real power demand situation. Also, through simulations with the model we made, we examined energy management techniques based on power pricing in society that each customer has a storage battery, and through the examination, we revealed that it is possible to flatten the power demand of such society by setting the appropriate pricing to each customer.