AI 中文总结
研究氢能社区微电网能量管理问题，核心方法是扩展近端策略优化（PPO）能量管理系统，添加多时段社区负荷预测。主要贡献是虽预测准确性有限，但能提前收敛、增加奖励、提升可再生能源利用率及节省成本。
AI 中文摘要
氢能社区微电网可提高可再生能源利用率和本地弹性，但住宅需求不确定、可再生能源发电可变、电价动态变化以及电池和储氢耦合动态使运行复杂。本文通过在控制器状态中添加多时段社区负荷预测，扩展了先前开发的近端策略优化（PPO）能量管理系统。对澳大利亚罗克汉普顿的1000户住宅微电网进行评估。预测准确性不一，1小时模型RMSE为239.32千瓦，R2为0.201；6小时和12小时时段R2为负；24小时预测RMSE为249.79千瓦，MAPE为62.52%，R2为0.126。尽管预测准确性有限，但丰富预测的PPO比无预测控制器提前约14.3%收敛，最终奖励提高8.3%。年度节省从无预测时的2439.86澳元增至有预测时的2765.83澳元，可再生能源利用率从35.3%提高到36.4%，电网进口降至58147.49千瓦时。弹性测试显示电网停电期间电池保护值为20.1%，但无明显预测特定弹性改善。结果表明，即使不完美的预测也可改善学习和经济调度，同时表明在进行更广泛部署之前，需要进行预测校准、通用测试条件和更长时间停电研究。
英文摘要
Hydrogen-enabled community microgrids can improve renewable energy use and local resilience, but their operation is complicated by uncertain residential demand, variable renewable generation, dynamic electricity prices, and coupled battery and hydrogen storage. This paper evaluates the operational value of multi-horizon community load forecasts when incorporated into a previously developed proximal policy optimization (PPO) energy management system for a 1,000-household residential microgrid in Rockhampton, Australia. Forecast accuracy is mixed. The 1-hour horizon achieves an RMSE of 239.32 kW and an R-squared value of 0.201, while the 6-hour and 12-hour horizons produce negative R-squared values. The 24-hour forecast achieves an RMSE of 249.79 kW, a MAPE of 62.52 percent, and an R-squared value of 0.126. In the reported single-seed PPO experiment, the forecast-enriched controller achieves a final reward 8.3 percent higher than the non-predictive controller. Annual savings increase from AUD 2,439.86 to AUD 2,765.83, representing an additional AUD 325.97 or 13.4 percent relative to the non-predictive savings. Grid imports decrease to 58,147.49 kWh. These results provide proof-of-concept evidence rather than multi-seed validation.
