CPS Statistic Information Self-learning Methodology Based Adaptive Automatic Generation Control

The paper proposed a novel adaptive control method for power automatic generation control (AGC) systems by using the statistic control performance standard (CPS) information. The purposes of CPS are to enhance the frequency dispatch support effect from power control areas and relax the requirement of area control error (ACE) regulation. The proposed method takes advantage of CPS statistic information to create a group of self-learning rules,which can automatically tune proportional integral (PI) control parameters of AGC system. The adaptive control method is demonstrated effective and easy to be implemented in AGC systems of most power dispatch centers. The case study shows that the pressure of AGC plants is released while the CPS compliance is ensured after using the proposed control method.