Hybrid bypass technique to mitigate leakage current in the grid-tied inverter

The extensive use of fossil fuel is destroying the balance of nature that could lead to many problems in the forthcoming era. Renewable energy resources are a ray of hope to avoid possible destruction. Smart grid and distributed power generation systems are now mainly built with the help of renewable energy resources. The integration of renewable energy production system with the smart grid and distributed power generation is facing many challenges that include addressing the issue of isolation and power quality. This paper presents a new approach to address the aforementioned issues by proposing a hybrid bypass technique concept to improve the overall performance of the grid-tied inverter in solar power generation. The topology with the proposed technique is presented using traditional H5, oH5 and H6 inverter. Comparison of topologies with literature is carried out to check the feasibility of the method proposed. It is found that the leakage current of all the proposed inverters is 9 mA and total harmonic distortion is almost about 2%. The proposed topology has good efficiency, common mode and differential mode characteristics.

Earth fault detection in distributed power systems on the basis of artificial neural networks approach

Nowadays, the advancement of microgrids promises numerous economic and environmental advantages of renewable energies to nations and societies. The presence of decentralized energy units, however, makes serious technical challenges; for instance, criteria and procedure of fault recognition and diagnosis in this condition is entirely changing. This article, therefore, proposed a novel accurate and fast technique based on Artificial Neural Networks (ANN) for earth fault detection. A sample distributed power system considered for the proposed technique and different earth faults applied to this system consist of one phase, two phases and three phases faults. Also, any alteration of current and voltage signals of all phases is investigated at the fault occurrence moment. Analysis of simulation results demonstrates how the proposed technique could make faster responses and improve the reliability of the distributed power system by more accurate fault recognition in comparison with the other traditional methods such as the Wavelet Transformation technique. The proposed technique is likely to enhance the growth of renewable energy sources usage by decreasing operational risk factors and fault recognition delays.

Optimal Control of Hybrid Systems and Renewable Energies

International policies for sustainable development have led to an increase in distributed power production based on renewable resources [...]

Research on Improved Droop Control Strategy of Microsource Inverter Based on Internet of Things

Microgrid connects the distributed power supply with the assistance of power electronic devices. Power electronic devices, especially in the inversion link, play a crucial role in the access of distributed power to microgrid. Whether in grid-connected mode or island mode, the control method of inverters is related to the stable operation of distributed power supply and plays an important role in the control strategy of microgrid. In this paper, by adding the drop control of controllable virtual impedance, the power coupling problem caused by resistive line impedance is reduced, and virtual impedance key points such as voltage feedback and frequency compensation are added. By optimizing the power reference value, the parallel operation stability of the control strategy is improved. The experimental results show that the proposed method improves not only the stability of the system and the power quality but also the accuracy of reactive power distribution.