No abstract

SUMMARYIn this paper, we show an autonomous dispersed control system for independent micro grid of which performance has been substantiated in China by Shikoku Electric Power Co. and its subsidiary companies under the trust of NEDO (New Energy and Industrial Technology Development Organization).For the control of grid interconnected generators, the exclusive information line is very important to save fuel cost and maintain high frequency quality of the electric power supply, but it is relatively expensive in such small micro grids. We contrived an autonomous dispersed control system without any exclusive information line for dispatching control and adjusting supply control. We have confirmed through the substantiation project in China that this autonomous dispersed control system for an independent micro grid has a very satisfactory characteristic from the viewpoint of less fuel consumption and high electric quality.

No abstract

In order to develop an efficient driving system for electric vehicle(EV), a testing system using motors has been built to simulate the driving performance of EVs. In the testing system, the PID controller is used to control rotating speed of motor when the EV drives. In this paper, in order to improve the performance of speed control, a neural network is applied to tuning parameters of PI controller. It is shown through experiments that a neural network can reduce output error effectively while the PI controller parameters are being tuned on-line.

No abstract