Mitsubishi Denki Kabushiki Kaisha

The Tokyo Electric Power Company, Incorporated

Hisao Taoka

Hideo Tanaka

Yoshiakira Akimoto

Hiromi Ogi

Toshiaki Sakaguchi

Yoshio Izui

Isao Iyoda

Nobuyuki Sato

Shigeru Warashina

Hideo Noguchi

Yukio Kojima

A neural network system includes input, intermediate and output layers, each layer containing at least one neural network element, each having an input and output, for simulating a neuron; and a plurality of inter-layer connections between neural elements wherein each input layer element has a connection to at least one intermediate layer element, and each intermediate layer element has a connection to at least one output layer element. Each inter-layer connection has a connecting weight. The system further includes sampling data and teaming data. The sampling data has pairs of values, each pair including an input value and corresponding output value, the input value having regular intervals. The learning data has at least three pairs of values, each pair including an input value and corresponding desired output value, the input values having irregular intervals. The intermediate layer elements are assigned unique sampling data value pairs and have unique sampling functions derived by translating original sampling functions by sampling data input values assigned to the neural elements. The sampling function defines a relationship between the input and output of the neural element. The connecting weight for each connection between an intermediate layer element and an output layer element is set to the sampling data output value assigned to the intermediate layer element. The system further includes a training mechanism that adjusts the connecting weights to minimize errors between learning data output values and actual output values obtained by applying the learning data input values to the neural network.

Neural network system with sampling data

An electric power system simulator comprising first calculator which calculates a generator dynamic characteristic, second calculator which calculates a load dynamic characteristic and third calculator which calculates power transmission condition of an electric power system network, then the first calculator cyclically obtains an amplitude and a phase of an internal induced voltage of the generator based on data on an output power and a terminal voltage of the generator, and the second calculator calculates a load equivalent admittance at predetermined time based on data on an A.C. voltage at a load installation point, and the third calculator calculates a current flowing in each element of the electric power system based on respective data obtained by the first calculator and the second calculator and an electric power system network impedance to obtain the output power and terminal voltage of the generator, so that a condition change of the electric power system including the generators is serially simulated by alternately executing the calculations of the first and the second calculators and the calculation of the third calculator.

Electric power system simulator

Decentralized simulator

Growing community of inventors

Amagasaki, Japan

Hisao Taoka