Electric Vehicle injected AC Microgrid frequency stability study: An Optimal Fuzzy Control approach

• Published in: 2024 5th International Conference on Recent Trends in Computer Science and Technology (ICRTCST) pp. 361 - 366
• Main Authors: Panda, Shibanika, Mohapatra, Alivarani, Nayak, Byamakesh, Kumar Gautam, Thakur Pranav
• Format: Conference Proceeding
• Language: English
• Published: IEEE 09-04-2024
• Subjects: Electric vehicles; Generators; Gradient baseds algorithm; Grid to vehicle mode; Heuristic algorithms; Microgrids; Power system dynamics; Power system stability; Resilient study; Robust fuzzy controller; State of Charge; Wind power generation; Wind speed
• DOI: 10.1109/ICRTCST61793.2024.10578358

The goal of this research study is to reduce, the frequency dynamics of a hybrid microgrid linked to electric vehicles. A few energy-storing components, such as battery storage and ultra-capacitors, have been integrated with a variety of low MW sources, including diesel generators, micro-turbines, fuel cells, wind power generators, solar photo voltaic systems, and thermoelectric generators, in the proposed system's modeling. Different power system instability issues, particularly those related to frequency and voltage instability, are caused by the intrinsic dynamics of wind velocity and solar radiation variance along with electric vehicle charging. Utilizing a strong fuzzy-PID controller in the presence of various uncertainties helps to reduce the frequency instability problems in this investigation. Moreover, the fuzzy controller's fine and object-oriented parameters are extracted using an intelligent gradient based algorithm (GBA). A comparison analysis is conducted to demonstrate the superiority of the GBA approach and the proposed Fuzzy-PID controller.