نوع مقاله : مقاله پژوهشی
نویسندگان
گروه مهندسی برق، دانشکده فنی و مهندسی، دانشگاه ملایر، ملایر، ایران.
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
In this paper, stabilization of a DC microgrid is investigated. The examined microgrid operates in an islanded mode, with a solar-based distributed generation source. The microgrid consists of four main components: a stochastic source, a stochastic load, a balancing load, and a stabilizer. The most crucial part of this circuit is the stabilizer branch, which includes a battery branch, a supercapacitor branch, and a voltage excess discharge branch. Various methods exist for controlling and stabilizing the voltage of microgrid, including the use of PI controllers and fuzzy control. In this paper, to reduce voltage ripple and stabilize the microgrid, the optimization of the membership functions of the fuzzy controller is performed using the Teaching-Learning-Based Optimization (TLBO) algorithm. The optimized outputs of the fuzzy controller with the TLBO algorithm lead to improvement in the switching rates of the three stabilizer branches, ultimately resulting in reduced voltage ripple, decreased battery charge and discharge cycles, and increased battery lifespan that is used in microgrid. The model of the examined microgrid is simulated in Matlab/Simulink, and three control methods—PI, fuzzy, and fuzzy optimized by TLBO algorithm—are investigated and compared.
کلیدواژهها [English]
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