基于人工神经网络的电力市场输电阻塞预测模型Artificial Neural Network-Based Transmission Congestion Forecasting Model in Electricity Market Environment
施羽展;谢开贵;胡博;
摘要(Abstract):
传统的输电阻塞研究主要集中于输电阻塞发生之后的处理过程,即阻塞管理,属于被动消除阻塞情形。文章基于主动预防输电阻塞的思想,从分析影响输电阻塞的系统线路传输功率、系统总负荷、系统实际出力等相关因素入手,应用层次分析法建立比较判断矩阵,以确定各因素阻塞影响的权重。基于此,建立一种基于神经网络的输电阻塞预测模型,还提出了一个新的阻塞指标,即阻塞度,以美国加利福尼亚州电力市场的数据验证了该模型的正确性和实用性。
关键词(KeyWords): 电力市场;影响因素;阻塞预测;阻塞度
基金项目(Foundation): 国家自然科学基金资助项目(50777067,51077135);; 输配电装备及系统安全与新技术国家重点实验室(重庆大学)自主研究项目(2007DA10512709103);; 重庆市自然科学基金项目(CSTC2010BA3006)~~
作者(Author): 施羽展;谢开贵;胡博;
Email:
DOI: 10.13335/j.1000-3673.pst.2011.03.002
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