Frequency Control of Microgrids in presence of Driver-Based Motor Loads

نوع: Type: Thesis

مقطع: Segment: masters

عنوان: Title: Frequency Control of Microgrids in presence of Driver-Based Motor Loads

ارائه دهنده: Provider: Reza Nobari

اساتید راهنما: Supervisors: Mohammad Amin Ghasemi/Mohsen Hasan Babayi Nozadian

اساتید مشاور: Advisory Professors:

اساتید ممتحن یا داور: Examining professors or referees: Younes Solgi/Alireza Hatami

زمان و تاریخ ارائه: Time and date of presentation: 2025

مکان ارائه: Place of presentation: 34

چکیده: Abstract: This study proposes a fuzzy fractional-order proportional–derivative–integral controller designed using a quantum-inspired optimization algorithm to improve frequency stability in a microgrid under various operational conditions. A precise mathematical model of the proposed method is presented, incorporating key microgrid components including wind turbines, photovoltaic panels, fuel cells, motor loads, electric vehicles, and flywheels in the control and analysis framework. The controller's performance is evaluated under three scenarios: supplying power using a diesel generator, using only renewable energy sources, and using a combination of diesel generators and renewables. Simulations conducted in MATLAB demonstrate that the proposed controller significantly reduces frequency deviation errors. Specifically, in the first scenario, the error indices are reduced by 78 percent and 78 percent, and in the third scenario, reductions of 74 percent and 73 percent are observed, respectively. These results confirm the controller’s effectiveness in enhancing frequency stability and dynamic performance in the presence of renewable resources and variable loads. This work offers an innovative and effective approach to addressing stability and frequency regulation challenges in modern microgrids.

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