Modelling End-User Behavior and Behavioral Change in Smart Grids. An Application of the Model of Frame Selection

摘要: This paper presents an agent-based model (ABM) for residential end-users, which is part of a larger, interdisciplinary co-simulation framework that helps to investigate the performance future power distribution grids (i.e., smart grid scenarios). Different modes governance (strong, soft and self-organization) as well end-users’ heterogeneous behavior represent key influential factors. Feedback was implemented measure foster grid-beneficial behavior, encompasses range monetary non-monetary incentives (e.g., via social comparison). The frame selection (MFS) serves theoretical background modelling decision-making. Additionally, we conducted online survey ground end-user sub-model on empirical data. Despite these foundations, presented should be viewed conceptual framework, requires further data collection. Using example scenario, representing lowly populated area (167 households) with high share photovoltaic systems (30%), different were compared regard their suitability improving system stability (measured in cumulated load). Both strong control able decrease overall fluctuations mean load (by approx. 10%, based weekly observation). However, argue could sufficient more societally desirable.