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基于灵敏度分析与神经网络算法的互联电力系统联络线功率调整方法 被引量:4

Method to Adjust Power of Interconnected Power System Tie-Line based on Sensitivity Analysis and Neural Network Algorithm
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摘要 基于灵敏度分析与神经网络,提出了一种互联电力系统联络线功率调整的新方法。通过运用BPA软件获取适当的神经网络模型数据样本,不同电厂相对于联络线的灵敏度系数可运用BP神经网络算法进行求导计算。搭建了新的联络线功率调整分析模型,并虑及了与联络线弱联或非联电厂之间的发电功率协调问题。采用含有不同区域电厂的IEEE-30节点系统对新建模型进行仿真,并与采用其他文献研究方法的仿真结果进行比较,验证了该方法的有效性和实用性。 A new method is presented based on sensitivity analysis and neural network to adjust power of interconnected power system tie-line.Suitable data sample of neural network model can be acquired by BPA software,sensitivity coefficients of different power plants relative to the tie-line can be calculated through BP neural network algorithm.A new tie-line power adjustment analysis model has been established with the consideration of power coordination in power plant which has weak or no link with tie line.IEEE-30 bus system including power plants in different areas is adopted to simulate the new model.With comparison to other simulation results,the effectiveness and practicality of the proposed method is testified.
出处 《陕西电力》 2010年第7期47-51,共5页 Shanxi Electric Power
基金 国家自然科学基金项目(50767001) 国家863高技术基金项目(2007AA04Z100) 广西自然科学基金项目(桂科自0640028) 广西壮族自治区教育厅科研计划资助项目(200808MS150) 广西高校百名中青年学科带头人资助计划项目(RC20060808002)
关键词 互联电力系统 联络线 灵敏度分析 神经网络 interconnected power system tie-line sensitivity analysis neural network
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