Sahoo Buddhadeva, Samantaray Subhransu Ranjan, Alhaider Mohammed M
Department of Electrical and Electronics Engineering, SR University, Warangal, Telangana, 506371, India.
School of Electrical Sciences, Indian Institute of Technology Bhubaneswar, Bhubaneswar, 752050, India.
Sci Rep. 2025 Feb 27;15(1):7023. doi: 10.1038/s41598-025-91451-9.
This manuscript presents a Matrix Pencil-based Energy Management Control (MPEMC) approach to improve power quality (PQ) and power flow in grid-integrated solar PV systems. The proposed method combines a non-linear dynamic load-based shunt active power filter (SAPF) model with an incremental conductance-based optimal power tracking control (OPTC) algorithm, enhancing PV system efficiency by 4%, increasing output from 96 kW to 100 kW under varying solar irradiance. A logarithmic encoder-based DC-link voltage controller stabilizes the DC-link voltage with an error reduction time of less than 0.12 s, ensuring rapid adaptation to dynamic load variations. To show the proposed controller significance, the outcomes of the proposed approach is compared with the most preferable methods as Discrete Fourier Transform (DFT)based EMC (DFT-EMC) and TS-Fuzzy-EMC controllers. Compared with the above controllers, the SVD-MPEMC achieves 10-25% faster settling times, 10-15% lower peak overshoot, and narrower settling ranges, ensuring high response consistency with minimal oscillations. In addition to that, using singular value decomposition (SVD), the MP method effectively decomposes non-linearities and reduces average Total Harmonic Distortion (THD) to 2.02%, surpassing the DFT method (5.11%) and uncompensated system outcomes (38.89%). The above findings are validated through both simulations and hardware validation on a Spartan-6 FPGA-based PV-microgrid based platform. These enhancements are particularly evident in grid active and reactive power stabilization and DC-link voltage regulation, where SVD-MPEMC consistently outperforms alternative methods. Its compliance with IEEE-519 standards and superior performance metrics establish it as a transformative solution for renewable energy integration and real-time grid applications.
本文提出了一种基于矩阵束的能量管理控制（MPEMC）方法，以改善并网太阳能光伏系统的电能质量（PQ）和潮流。所提出的方法将基于非线性动态负载的并联有源电力滤波器（SAPF）模型与基于增量电导的最优功率跟踪控制（OPTC）算法相结合，使光伏系统效率提高了4%，在不同太阳辐照度下，输出功率从96千瓦增加到100千瓦。基于对数编码器的直流母线电压控制器可稳定直流母线电压，误差减小时间小于0.12秒，确保能快速适应动态负载变化。为了说明所提出控制器的重要性，将所提方法的结果与最优选的方法（如基于离散傅里叶变换（DFT）的电磁兼容性（DFT-EMC）和TS-模糊-EMC控制器）进行了比较。与上述控制器相比，SVD-MPEMC的稳定时间快10-25%，峰值超调量低10-15%，稳定范围更窄，确保了高响应一致性且振荡最小。此外，使用奇异值分解（SVD），MP方法有效地分解了非线性，并将平均总谐波失真（THD）降低到2.02%，超过了DFT方法（5.11%）和未补偿系统的结果（38.89%）。上述结果通过在基于Spartan-6 FPGA的光伏微电网平台上进行的仿真和硬件验证得到了证实。这些增强功能在电网有功和无功功率稳定以及直流母线电压调节方面尤为明显，其中SVD-MPEMC始终优于其他方法。它符合IEEE-519标准且具有卓越的性能指标，使其成为可再生能源集成和实时电网应用的变革性解决方案。
