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出 处:《今日自动化》2024年第12期117-119,共3页Automation Today
摘 要:随着可再生能源的快速发展,分布式光伏集群在电力系统中占据越来越重要的地位,然而其功率输出受多种因素如天气条件、设备状态及通信信道状况等的影响,具有显著的波动性和不确定性。为了提升光伏集群的发电效率和系统稳定性,文章提出了一种结合动态通信信道分配与多种预测技术的分布式光伏集群功率预测方法,该方法利用动态通信信道分配技术优化数据传输效率,减少了通信延迟和丢包,确保了预测模型的实时性和准确性。试验结果表明,该方法能够显著提高功率预测的精度和鲁棒性,为电力系统的调度和运行提供了有力支持。With the rapid development of renewable energy,distributed photovoltaic clusters play an increasingly important role in the power system.however,their power output is affected by various factors such as weather conditions,equipment status,and communication channel conditions,and has significant volatility and uncertainty.in order to improve the power generation efficiency and system stability of photovoltaic clusters,this paper proposes a distributed photovoltaic cluster power prediction method that combines dynamic communication channel allocation and multiple prediction techniques.this method uses dynamic communication channel allocation technology to optimize data transmission efficiency,reduce communication delay and packet loss,and ensure the real-time and accuracy of the prediction model.the experimental results show that this method can significantly improve the accuracy and robustness of power prediction,providing strong support for the scheduling and operation of power systems.
分 类 号:TM615[电气工程—电力系统及自动化]
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