Description
This tool app is designed for smart city energy management scenarios, providing one-stop evaluation and decision-making assistance around the dynamic load balancing of city level electric vehicle charging networks. It predicts the city's charging demand based on spatiotemporal characteristics and weather factors, and calculates the real-time basic load of the power grid, feeder capacity constraints, and renewable energy output such as photovoltaics. It outputs charging power allocation, green electricity consumption rate, and overload risk indicators; At the same time, combining user travel and queuing time, price signals, and fairness constraints, provide station guidance and staggered incentive suggestions to improve overall efficiency while ensuring accessibility and experience consistency for different groups; In addition, the application has built-in extreme weather stress testing and resilience assessment to help identify vulnerable areas, quantify unserved electricity and recovery capabilities, and provide more professional and interpretable quantitative references for urban level charging infrastructure planning, operation scheduling, and emergency plans.