Modeling Intelligent Energy Systems: Co-Simulation Platform for Validating Flexible-Demand EV Charging Management

摘要: Energy systems experience a rise in complexity: new technologies, topologies and components, tighter links to other like markets the increased usage of information technology. This leads challenging questions that can not be answered via traditional methods. The goal including renewable energy clean technologies grid, however, requires solutions for resulting complex problems. paper investigates dynamic demand response intelligent electric vehicle charging as use-case detailed hybrid models cannot properly handled by tools alone. Universal modeling languages specialized domain-specific are brought together standardized co-simulation interfaces achieve maximal flexibility minimal implementation efforts. combination previously numerically incompatible paradigms enables look into dynamics component while keeping comfort strength established tools. coupling Modelica-based physical simulation engine, commercial power system tool an agent-based discrete event simulator grids results novel platform. visionary concept provides high level detail, scope, flexibility, scalability accuracy simulations needed analyze optimize future.