Solution of Inverse Problem on Distributed Generation Using Complex-Valued Network Inversion  

作　　者：Takehiko Ogawa Kyosuke Nakamura 

机构地区：[1]Faculty of Engineering, Takushoku University, Tokyo 193-0985, Japan [2]Graduate School of Engineering, Takushoku University, Tokyo 193-0985, Japan

出　　处：《Journal of Mechanics Engineering and Automation》2011年第6期436-444,共9页机械工程与自动化（英文版）

摘　　要：Solutions of inverse problems are required in various fields of science and engineering. The concept of network inversion has been studied as a neural-network-based solution to inverse problems. In general, inverse problems are not limited to a real-valued area. Recently, complex-valued neural networks have been actively studied in the field of neural networks. As an extension of network inversion to complex numbers, a complex-valued network inversion has been proposed. Moreover, inverse problems for estimating the parameters of distributed generation systems such as distributed energy plants or smart grids from observed electric circuit data have been studied in the field of natural energy. These emphasize the need to handle complex numbers in an alternating current （AC） circuit. In this paper, the authors propose an application of the complex-valued network inversion to the inverse estimation of a distributed generation. Further, the authors confirm the effectiveness of the complex-valued network inversion on the basis of simulation results.

关 键 词：Neural networks network inversion complex numbers inverse problems distributed generation 

分 类 号：TM732[电气工程—电力系统及自动化] TN183[电子电信—物理电子学]