A method for micro-gird automatic generation control

Abstract

Each micro power in the micro-grid has its own characteristics, the fans and solar power has unstable power output at different time, it is greatly affected by the environmental factors, while diesel engine has stable power but consumes resources. At present the micro power control is based on the SOC of the storage battery, and it can cause loss of energy while full charge battery meat the fans and solar peak power generation. In order to maximize the use of natural energy, reduce the loss of the resources, and increase economic benefits, it is important to design a control system which based on the future power and load status within a period of time. According to the Zhu-Hai island Fans-Solar-Storage system (FSS), this paper puts forward a structure of the automatic generation control system, use the fuzzy neural control method to get the battery status, while the forecast data of the load and generation, the SOC of the battery as input parameters, then monitored each output signal. The MATLAB simulation results shows that this automatic generation control system can control each micro power, reduce the use frequency of the diesel engine, maximum use of the wind and solar energy.