This paper deals with a tripartite control based on LCL-filter for a single-stage solar photovoltaic (PV) interconnected three-phase grid-tied system. This work proposes a novel tripartite control for LCL-filter based on sensing capacitor side voltage utilising two sensors. Conventionally, the control algorithm requires six sensors for sensing the inverter-side inductor current, capacitor side voltage, and grid-side inductor current. However, in this work, to execute the tripartite control algorithm, the only voltage across the filter capacitor need to be sensed. The voltage across the filter capacitor estimates inverter-side inductor current and grid-side inductor current. The proposed algorithm offers the advantage/benefit in reducing size, weight, and implemented cost. As an outcome, the reduction in the complexity of the hardware takes place. The implemented system is analysed for parametric variation to ensure the stability and robustness of the system. The system response is observed under digital control delay variation. The proposed method offers a cost-effective solution for meeting grid regulation. The implemented system is extensively tested and validated by simulation in the MATLAB/ Simulink platform. The justification of the system is carried out by experimental results obtained from the prototype designed in the laboratory.
During the year 2020, Indian Railways undertook an extensive timetabling exercise for its entire network. The timetable for its six principal routes known as the golden quadrilateral + diagonals (GQD) was generated using a rail traffic simulation tool. The simulation tool and the methodology had to be customized to handle the complex technical requirements of the GQD network, which spans more than 9,000 km. Challenges related to using and integrating data into the simulator also had to be addressed. This was the first time that a simulation software tool of this kind was used for timetabling in Indian Railways, and hence, there were uncertainties regarding the timely delivery, which gave rise to additional challenges to the overall effort. This paper focuses on these challenges and the managerial and human aspects of this massive timetabling exercise. It also explains how this project leverages the benefits of combining top-down and bottom-up approaches in timetabling and how it sets a new paradigm for network-wide timetabling in Indian Railways. History: This paper was refereed. Funding: This work was supported financially through the Indian Railways–sponsored project titled “Implementing Zero Based Timetabling for Major IR Routes by IIT Bombay through Simulation Model of Mixed Rail Traffic” [Grant RD/0120-WRAIL00-002].
This work implements a cascaded control for the LCL filter-based grid-connected neutral point clamped (NPC) inverter with the reduced sensor. The conventional three-loop control requires two current sensors for the inverter side, two voltage sensors for the voltage side, and two current sensors for the grid side in total for sensing. This work proposes a novel cascaded control scheme that allows a considerable reduction of grid-side current sensors and capacitor-side voltage sensors. Only two inverter-side current sensors are required for the same. The sensing point is implemented by the proposed estimation algorithm. As an outcome, the hardware complexity, weight, size, and implementation cost of the system are downsized. A comparative assessment is performed between the conventional technique and the proposed methodology. The system is analysed for grid inductance and LCL filter parametric variations in order to assure the robustness and stability of the system. In addition, the system is also investigated for the influence of digital control delay. The implemented system offers enhanced system stability and improved dynamic performance. In order to meet grid regulation, it offers an economical solution. The proposed system is justified by simulated results on the MATLAB/Simulink platform and verified by the experimental results.
A trilateral control for LCL filter‐based system is introduced by the authors with a single grid current sensor in weak grid conditions. The LCL filter increases the complexity when the uncertain nature of the grid comes into the picture. Moreover, the traditional three‐loop control technique requires three current sensors on the inverter side, three voltage sensors to sense voltage across the capacitor, and three current sensors on the grid side combined for sensing. A novel trilateral control technique utilising a single sensor is implemented to sense the grid current. This technique has reduced a considerable number of current sensors and voltage sensors. The α axis of grid current is proportional to sensed ‘a’ phase grid current. The β current in the utility grid is acquired by employing the controller reference quantities of the grid current. The computation of another variable, that is, the current in the inverter side inductor and the voltage across the capacitor, is executed by an estimation algorithm. The proposed technique provides the feature of reducing implementation financial value and weight that reduces the complexity and size of hardware. The synchronisation technique is executed by a modified dual second‐order generalised integrator digital phase‐locked loop for the grid‐connected converter. The implemented system offers the advantage of ease of implementation, good performance, and high stability. The validity of the proposed scheme in the implemented system is demonstrated by the simulated waveform obtained on the MATLAB/Simulink platform. Finally, the effectiveness of the proposed system is further justified by the experimental waveform procured from a prototype developed in the laboratory.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.