Cost Optimization of Microgrids and Integrated Scheduling of Wind,Solar,and Hydrogen Fuel Cells
This article aims to study an optimal scheduling strategy for a microgrid integrating wind power,photovoltaics,hydrogen storage,and fuel cells to minimize costs.The research methods include simulating and predicting the output of wind power and photovoltaics,dynamically managing electrolyzers and hydrogen storage tanks,optimizing fuel cell output;combining real-time electricity prices and demand response mechanisms to make energy trading decisions,reducing resource waste;by considering system operation costs and equipment efficiency,using linear programming to construct optimization models for model solving.A 24-hour scheduling example demonstrates the effectiveness of this strategy in balancing energy supply and demand in microgrids,reducing total costs,and ensuring system stability and environmental sustainability.
万方数据
维普
