近日，福州理工学院应用科学与工程学院教师王忠阳在虚拟同步发电机方面取得新进展，相关研究论文《Adaptive,Optimal,Virtual Synchronous Generator Control of Three-Phase Grid-Connected Inverters under Different Grid Conditions---An Adaptive Dynamic Programming Approach》在IEEE Transactions on Industrial Informatics(国际电气与电子工程师协会工业信息学汇刊)上发表，王忠阳为第一作者，福州理工学院为第一署名单位。

IEEE Transactions on Industrial Informatics是控制理论领域的顶级期刊之一，在全球自动化与控制系统领域的期刊影响力排名第3位，全球期刊影响力排名在工业工程领域第1位（来自JCR），位于SCI中科院/JCR一区Top期刊，期刊最新影响因子为10.215，在计算机与自动化工业研究领域具有很高的影响力。

Abstract—This paper proposes a data-driven adaptive, optimal virtual synchronous generators (VSG) control approach for a three-phase grid-connected inverter based on reinforcement learning and adaptive dynamic programming (commonly known as ADP). The proposed methodology considers unknown system dynamics and different grid conditions. It is based on value iteration, which does not rely on an initial admissible control policy for learning. By the central premise of stabilizing VSG performance, the VSG outputs are optimally regulated through an adaptive, optimal control strategy. Comparative simulations and experimental results validate the efficiency of the proposed method.

论文链接：http://cwres.ncu.edu.cn/s/org/ieee/ieeexplore/G.https/document/9664388