Control With Fault Detection Of The DC Microgrids Using SDRE-Controller-Observer

被引:0
作者
Ma, Linchao [1 ]
Mao, Jingkui [2 ]
机构
[1] School of Electrical Engineering and Automation, Henan Institute of Technology, Henan, Xinxiang
[2] School of Electrical Engineering and Automation, Hefei University of Technology, Anhui, Hefei
来源
Journal of Applied Science and Engineering | 2024年 / 27卷 / 04期
关键词
DC network; Fault Detection; Micro grid; State-Dependent Riccati Equation;
D O I
10.6180/jase.202404_27(4).0003
中图分类号
学科分类号
摘要
In the present work, using the State-Dependent Riccati Equation approach, the optimal optimizer-controller is designed for a small DC network isolated from the network. The objectives are to control the output voltage of the solar cell, as well as output voltages of the battery, the capacitor bank and the DC busbar, and to detect possible faults in a timely manner. In the State-Dependent Riccati Equation observer–controller design process, a non-linear model is used for modeling the dynamic behavior of the microgrid in different operating conditions. The efficiency of the studied microgrid has been assessed in the presence of uncertainty in system parameters and measurement noise. The results of the simulations show the ability of the suggested approach to detect faults in a timely manner, not to recognize the disturbance as a fault, as well as the effective and resistant performance of the progressive controller even in the disturbance presence. Quantitatively, the proposed fault detection method was able to generate non-zero residual current in the presence of faults, allowing for fault detection by defining an appropriate threshold. The threshold used in the study was 50. Additionally, the fault detection system was able to avoid misdiagnosis of disturbances as faults. © The Author(’s).
引用
收藏
页码:2315 / 2324
页数:9
相关论文
共 19 条
  • [1] Huang S., Abedinia O., Investigation in economic analysis of microgrids based on renewable energy uncertainty and demand response in the electricity market, Energy, 225, (2021)
  • [2] Wang C., Zhang Z., Abedinia O., Farkoush S. G., Modeling and analysis of a microgrid considering the uncertainty in renewable energy resources, energy storage systems and demand management in electrical retail market, Journal of Energy Storage, 33, (2021)
  • [3] Park J.-D., Candelaria J., Fault Detection and Isolation in Low-Voltage DC-Bus Microgrid System, IEEE Transactions on Power Delivery, 28, 2, pp. 779-787, (2013)
  • [4] Park J.-D., Candelaria J., Ma L., Dunn K., DC Ring-Bus Microgrid Fault Protection and Identification of Fault Location, IEEE Transactions on Power Delivery, 28, 4, pp. 2574-2584, (2013)
  • [5] Adam G. P., Alsokhiry F., Alabdulwahab A., DC grid controller for optimized operation of voltage source converter based multi-terminal HVDC networks, Electric Power Systems Research, 202, (2022)
  • [6] Ahl A., Yarime M., Goto M., Chopra S. S., Kumar N. M., Tanaka K., Sagawa D., Exploring blockchain for the energy transition: Opportunities and challenges based on a case study in Japan, Renewable and Sustainable Energy Reviews, 117, (2020)
  • [7] Zamani M. A., Sidhu T. S., Yazdani A., A Protection Strategy and Microprocessor-Based Relay for Low-Voltage Microgrids, IEEE Transactions on Power Delivery, 26, 3, pp. 1873-1883, (2011)
  • [8] Matos S., Vargas M., Fracalossi L., Encarnacao L., Batista O., Protection philosophy for distribution grids with high penetration of distributed generation, Electric Power Systems Research, 196, (2021)
  • [9] Hwas A., Katebi R., Nonlinear observer-based fault detection and isolation for wind turbines, 22nd Mediterranean Conference on Control and Automation, pp. 870-875, (2014)
  • [10] Esreraig M., Mitra J., An observer-based protection system for microgrids, 2011 IEEE Power and Energy Society General Meeting, pp. 1-7, (2011)