水电站应用传统的无功分配方法,只能将总的无功需求量在机组间简单分配.为满足水电站自动电压控制(Automatic Voltage Control,AVC)的多目标调节需求,对进化规划算法进行改进,利用考虑决策者偏好信息的方法优化进化规划算法中随机产生...水电站应用传统的无功分配方法,只能将总的无功需求量在机组间简单分配.为满足水电站自动电压控制(Automatic Voltage Control,AVC)的多目标调节需求,对进化规划算法进行改进,利用考虑决策者偏好信息的方法优化进化规划算法中随机产生初始寻优种群的过程,以实现水电站中有功网络损耗最小化和无功收益最大化;结合算例与仿真验证,将改进的进化规划算法得到的分配结果与水电站工程实例中应用的等功率因数法作对比,结果显示改进的进化规划算法比等功率因数法在减少有功网络损耗方面,单次调节降低了1.6%;在增加无功收益方面,单次调节增加了978元,优化效果明显,说明改进的进化规划算法可用于求解有功网络损耗最小化和无功收益最大化问题.展开更多
In this paper, we study the existence and stability of an equilibrium of discrete-time Cohen-Grossberg BAM Neural Networks with delays. We obtain several sufficient conditions ensuring the existence and stability of a...In this paper, we study the existence and stability of an equilibrium of discrete-time Cohen-Grossberg BAM Neural Networks with delays. We obtain several sufficient conditions ensuring the existence and stability of an equilibrium of such systems, using discrete Halanay-type inequality and vector Lyapunov methods. In addition, we show that the proposed sufficient condition is independent of the delay parameter. An example is given to demonstrate the effectiveness of the results obtained.展开更多
文摘水电站应用传统的无功分配方法,只能将总的无功需求量在机组间简单分配.为满足水电站自动电压控制(Automatic Voltage Control,AVC)的多目标调节需求,对进化规划算法进行改进,利用考虑决策者偏好信息的方法优化进化规划算法中随机产生初始寻优种群的过程,以实现水电站中有功网络损耗最小化和无功收益最大化;结合算例与仿真验证,将改进的进化规划算法得到的分配结果与水电站工程实例中应用的等功率因数法作对比,结果显示改进的进化规划算法比等功率因数法在减少有功网络损耗方面,单次调节降低了1.6%;在增加无功收益方面,单次调节增加了978元,优化效果明显,说明改进的进化规划算法可用于求解有功网络损耗最小化和无功收益最大化问题.
基金supported by the Natural Science Foundation of Fujian Province (No.S0750008)the National Natural Science Foundation of China (No.10432010).
文摘In this paper, we study the existence and stability of an equilibrium of discrete-time Cohen-Grossberg BAM Neural Networks with delays. We obtain several sufficient conditions ensuring the existence and stability of an equilibrium of such systems, using discrete Halanay-type inequality and vector Lyapunov methods. In addition, we show that the proposed sufficient condition is independent of the delay parameter. An example is given to demonstrate the effectiveness of the results obtained.