Adaptive Dynamic Programming and Energy Management for Multiple Converters Under Primary Frequency Regulation

There are abundant energy resources in remote areas of China, such as photovoltaics and small hydropower. With uncertain factors such as sunshine and climate, hydroelectric and photovoltaic power generation face prominent problems such as large output power fluctuations, unstable energy transmission, and difficulty in multi-converters’ synchronous control for primary frequency regulation. This article proposes an adaptive dynamic programming (ADP) control method and energy management strategies for multi-converters under primary frequency regulation, in order to address the problems of large-scale access to new energy. Firstly, a parameter online optimization design is proposed based on ADP controller to improve the dynamic performance of the system and the power quality of the output currents of multiple converters. Secondly, in order to achieve energy optimization management of multiple converters, a multimodal collaborative optimization control strategy is proposed to achieve energy optimization control and comprehensive management of the entire system. Finally, the effectiveness of the proposed ADP and energy management strategies are verified by simulation.