基于场景的随机机组组合(scenario-based stochastic unit commitment,SBS-UC)方法的应用效果与其决策所依据场景集的形成方式有着密切的联系,如何构建合理的场景集是SBS-UC应用中必须解决的问题。由此,在采用相同SBS-UC模型的前提下,...基于场景的随机机组组合(scenario-based stochastic unit commitment,SBS-UC)方法的应用效果与其决策所依据场景集的形成方式有着密切的联系,如何构建合理的场景集是SBS-UC应用中必须解决的问题。由此,在采用相同SBS-UC模型的前提下,比较了两种场景集形成方式下SBS-UC的决策结果。其中,测试场景集1依据逐时段概率密度预测方法得到,未考虑风电场输出功率时段间的关联特性,而场景集2在形成过程中,则通过对相关系数矩阵的估计,在预测结果中纳入了时段间的关联信息。最后,通过对两种场景集下调度结果的统计比较,验证了风电场输出功率时域关联信息在含风电电力系统机组组合问题中的重要作用。展开更多
The IMC(Internal Model Control) controller based on robust tuning can improve the robustness and dynamic performance of the system.In this paper,the robustness degree of the control system is investigated based on Max...The IMC(Internal Model Control) controller based on robust tuning can improve the robustness and dynamic performance of the system.In this paper,the robustness degree of the control system is investigated based on Maximum Sensitivity(Ms) in depth.And the analytical relationship is obtained between the robustness specification and controller parameters,which gives a clear design criterion to robust IMC controller.Moreover,a novel and simple IMC-PID(Proportional-Integral-Derivative) tuning method is proposed by converting the IMC controller to PID form in terms of the time domain rather than the frequency domain adopted in some conventional IMC-based methods.Hence,the presented IMC-PID gives a good performance with a specific robustness degree.The new IMC-PID method is compared with other classical IMC-PID rules,showing the flexibility and feasibility for a wide range of plants.展开更多
A new kind of region pair grey difference classifier was proposed. The regions in pairs associated to form a feature were not necessarily directly-connected, but were selected dedicatedly to the grey transition betwee...A new kind of region pair grey difference classifier was proposed. The regions in pairs associated to form a feature were not necessarily directly-connected, but were selected dedicatedly to the grey transition between regions coinciding with the face pattern structure. Fifteen brighter and darker region pairs were chosen to form the region pair grey difference features with high discriminant capabilities. Instead of using both false acceptance rate and false rejection rate, the mutual information was used as a unified metric for evaluating the classifying performance. The parameters of specified positions, areas and grey difference bias for each single region pair feature were selected by an optimization processing aiming at maximizing the mutual information between the region pair feature and classifying distribution, respectively. An additional region-based feature depicting the correlation between global region grey intensity patterns was also proposed. Compared with the result of Viola-like approach using over 2 000 features, the proposed approach can achieve similar error rates with only 16 features and 1/6 implementation time on controlled illumination images.展开更多
文摘基于场景的随机机组组合(scenario-based stochastic unit commitment,SBS-UC)方法的应用效果与其决策所依据场景集的形成方式有着密切的联系,如何构建合理的场景集是SBS-UC应用中必须解决的问题。由此,在采用相同SBS-UC模型的前提下,比较了两种场景集形成方式下SBS-UC的决策结果。其中,测试场景集1依据逐时段概率密度预测方法得到,未考虑风电场输出功率时段间的关联特性,而场景集2在形成过程中,则通过对相关系数矩阵的估计,在预测结果中纳入了时段间的关联信息。最后,通过对两种场景集下调度结果的统计比较,验证了风电场输出功率时域关联信息在含风电电力系统机组组合问题中的重要作用。
基金Supported by the National Natural Science Foundation of China（61273132）Doctoral Fund of Ministry of Education of China（20110010110010）
文摘The IMC(Internal Model Control) controller based on robust tuning can improve the robustness and dynamic performance of the system.In this paper,the robustness degree of the control system is investigated based on Maximum Sensitivity(Ms) in depth.And the analytical relationship is obtained between the robustness specification and controller parameters,which gives a clear design criterion to robust IMC controller.Moreover,a novel and simple IMC-PID(Proportional-Integral-Derivative) tuning method is proposed by converting the IMC controller to PID form in terms of the time domain rather than the frequency domain adopted in some conventional IMC-based methods.Hence,the presented IMC-PID gives a good performance with a specific robustness degree.The new IMC-PID method is compared with other classical IMC-PID rules,showing the flexibility and feasibility for a wide range of plants.
基金Supported by the Joint Research Funds of Dalian University of Technology and Shenyang Automation Institute,Chinese Academy of Sciences
文摘A new kind of region pair grey difference classifier was proposed. The regions in pairs associated to form a feature were not necessarily directly-connected, but were selected dedicatedly to the grey transition between regions coinciding with the face pattern structure. Fifteen brighter and darker region pairs were chosen to form the region pair grey difference features with high discriminant capabilities. Instead of using both false acceptance rate and false rejection rate, the mutual information was used as a unified metric for evaluating the classifying performance. The parameters of specified positions, areas and grey difference bias for each single region pair feature were selected by an optimization processing aiming at maximizing the mutual information between the region pair feature and classifying distribution, respectively. An additional region-based feature depicting the correlation between global region grey intensity patterns was also proposed. Compared with the result of Viola-like approach using over 2 000 features, the proposed approach can achieve similar error rates with only 16 features and 1/6 implementation time on controlled illumination images.
