Stand-alone microgrid coordination control strategy based on net load forecasting

JIANG Qi-yun
（College of Electrical Engineering， Zhejiang University， Hangzhou 310027， China）

Abstract： Aiming at random fluctuations of the renewable energy generator and load in the stand-alone microgrid with a master-slave control structure， a coordination control strategy based on the ultra-short-term forecasting of system net load was proposed to ensure its stable operation. The structure of the stand-alone microgrid was described and the conception of the net load was elaborated. With the online acquisition of power data，rolling predictions of the system load and the renewable energy generator output was made by using least square-support vector machine（LS-SVM），thus the forecast of the net load could be realized. On the basis of forecasting results， the daily scheduling of the controllable generators was modified actively to respond to the change of the net load in advance，so that the adjusting pressure of the master generators would be reduced and the stability of the stand-alone microgrid would be improved. Finally，results of an example indicate that the accuracy of the forecasting method， and verifies the effectiveness of the control strategy.
Key words： stand-alone microgrid； net load； ultra-short-term forecasting; control strategy； least support vector machine（LS-SVM）