Improved Droop Control Method for Reactive Power Sharing in Autonomous Microgrids
Publish Year: 1401
نوع سند: مقاله ژورنالی
زبان: English
View: 159
This Paper With 9 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JREE-9-3_001
تاریخ نمایه سازی: 20 شهریور 1401
Abstract:
Conventional droop control method has been widely adopted for power sharing between Distributed Generators (DGs) in microgrids. However, the mismatched feeder impedance of the Voltage-Sourced Inverters (VSI) may generate reactive power sharing error during islanding operation of a microgrid. In this paper, an improved droop control method is suggested to improve the reactive power sharing accuracy. In the proposed method, the slope correction of the droop characteristics is performed in such a way that the reactive power sharing error is reduced. In this method, the errors of reactive power sharing are detected by applying a clear signal to the microgrids and, then, by adding a new term to the P-ω and correcting the slope of Q-E, the reactive power sharing is done. In this way, the proposed method can successfully improve the reactive power sharing accuracy even at different X/R ratios. Another feature of this method is its high operation speed compared to the other methods of droop feature correction. The simulation results for a prototype microgrid point to the efficiency and flexibility of the proposed method.
Keywords:
Authors
Babak Keyvani
Department of Electrical Engineering, Boroujen Branch, Islamic Azad University, Boroujen, Iran.
Bahador Fani
Smart Microgrid Research Center, Najafabad Branch, Islamic Azad University, Najafabad, Iran.
Hamed Karimi
Smart Microgrid Research Center, Najafabad Branch, Islamic Azad University, Najafabad, Iran.
Majid Moazzami
Smart Microgrid Research Center, Najafabad Branch, Islamic Azad University, Najafabad, Iran.
Ghazanfar Shahgholian
Smart Microgrid Research Center, Najafabad Branch, Islamic Azad University, Najafabad, Iran.
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :