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神经网络在电力系统无功优化中的应用
引用本文:吴秀华,朴在林,刘美菊,石敏惠. 神经网络在电力系统无功优化中的应用[J]. 电气应用, 2007, 26(9): 25-28
作者姓名:吴秀华  朴在林  刘美菊  石敏惠
作者单位:沈阳农业大学信息与电气工程学院,110161;沈阳建筑大学信息与控制工程学院,110168
摘    要:神经网络在处理非线性、多变量、多约束的电力系统无功优化问题方面有其特有的优势,但实际应用中仍存在局限性,把神经网络和其他优化算法结合用于此类问题的研究逐年增多.本文详细阐述了神经网络以及神经网络与其他优化算法相结合在电力系统无功优化中的应用以及今后的发展趋势.

关 键 词:无功优化  神经网络  电力系统

Summary on Application of Neural Network in Reactive Power Optimization
Wu Xiuhua. Summary on Application of Neural Network in Reactive Power Optimization[J]. Electrotechnical Application, 2007, 26(9): 25-28
Authors:Wu Xiuhua
Affiliation:Shenyang Agricultural Un iversity
Abstract:Neural network has some special advantages as dealing with the multi-v ariable, multi-constrains and nonlinear reactive power optimization of the power system. But it still has some limitations in real-time control. So more and more research works has been combined the neural network with other optimal algorithms for the reactive power optimization . This paper summarizes these applications of the neural network and it also shows a developm ent trend of the neural network in the power system.
Keywords:Neural network has some special advantages as dealing with the multi-v ariable   multi-constrains and nonlinear reactive power optimization of the power system. But it still has some limitations in real-time control. So more and more research works has been combined the neural network with other optimal algorithms for the reactive power optimization . This paper summarizes these applications of the neural network and it also shows a developm ent trend of the neural network in the power system.
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