微电网成本优化与风电光伏氢能燃料电池集成调度

Cost Optimization of Microgrids and Integrated Scheduling of Wind,Solar,and Hydrogen Fuel Cells

本文研究一种针对风电、光伏、氢储存和燃料电池集成微电网的日前优化调度策略,以实现成本最小化。研究方法包括对风电和光伏出力的模拟预测,结合电解槽和储氢罐的动态管理,优化燃料电池输出;结合实时电价和需求响应机制,制定能源交易决策,减少资源浪费;综合考虑系统运维成本和设备效率,运用线性规划构建优化模型进行模型求解。24小时调度示例证明了该策略在平衡微电网能源供需、降低总成本以及确保系统稳定性和环境可持续性方面的有效性。

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.