基于人工智能的新能源电网电能质量改善方法  

Method for improving power quality in new energy grid based on artificial intelligence

作　　者：李少华 LI Shaohua(Beijing Jingneng Clean Energy Co.,Ltd.,Northwest China Branch,Yinchuan 750000,China)

机构地区：[1]北京京能清洁能源电力股份有限公司西北分公司,宁夏银川750000

出　　处：《电气应用》2025年第4期114-119,共6页Electrotechnical Application

摘　　要：随着新能源发电技术的快速发展,风能等分布式新能源给电网的电能质量带来了新的挑战,如电压波动、频率偏移和谐波失真等问题。这些问题不仅影响电网的稳定运行,还可能导致用户侧设备的性能下降。为此,提出了一种基于人工智能的新能源电网电能质量改善方法。通过提高注入功率信号的质量,并控制基于双馈感应发电机的风力涡轮机(Doubly-Fed Induction Generator based Wind Turbine,WTDFIG)与电网之间的有功和无功功率交换,提升整体系统的性能与效率。覆盖了所有WT-DFIG的连续与断续运行模式,以及本地无功功率补偿的不同控制模式。在MATLAB/Simulink环境下验证了所提方法在不同运行条件和操作模式下的性能。仿真结果表明,所提控制策略有效降低了有功功率与无功功率的纹波,显著改善了信号电流质量,同时电流总谐波失真得到明显减小。With the rapid development of new energy generation technology,distributed energy sources such as wind power have brought new challenges to the power quality of the grid,such as voltage fluctuations,frequency offsets,and harmonic distortion.These issues not only affect the stable operation of the power grid,but may also lead to a decrease in the performance of user side devices.Therefore,this article proposes a new energy grid power quality improvement method based on artificial intelligence.This method improves the quality of the injected power signal and controls the active and reactive power exchange between the doubly-fed induction generator based wind turbine(WT-DFIG)and the grid,thereby enhancing the overall system performance and efficiency.This study covers the continuous and intermittent operation modes of all WT-DFIG,as well as different control modes for local reactive power compensation.The performance of the proposed method was validated under different operating conditions and modes in MATLAB/Simulink environment.The simulation results show that the proposed control strategy effectively reduces the ripple of active and reactive power,significantly improves the signal current quality,and significantly reduces the total harmonic distortion of the current.

关 键 词：双馈感应发电机 电能质量 直接功率控制 风能反馈系统 

分 类 号：TM614[电气工程—电力系统及自动化]