The objective of this paper is to improve scientific modeling of interdependent socio-technical networks. In these networks the interplay between technical or infrastructural elements on the one hand and social and behavioral aspects on the other hand, is of importance. Examples include electricity networks, financial networks, residential choice networks. We propose an Agent-Based Model approach to simulate interdependent technical and social network behavior, the effects of potential policy measures and the societal impact when disturbances occur, where we focus on a use case concerning the smart grid, an intelligent system for matching supply and demand of electricity.