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Collaborative Distribution and Scattered EnergyStorage in the Electricity Distribution Network basedon Photovoltaic Production Generators based onRadiation Angle

عنوان مقاله: Collaborative Distribution and Scattered EnergyStorage in the Electricity Distribution Network basedon Photovoltaic Production Generators based onRadiation Angle
شناسه ملی مقاله: ICTI06_108
منتشر شده در ششمین کنفرانس ملی فناوری های نوین در مهندسی برق و کامپیوتر در سال 1402
مشخصات نویسندگان مقاله:

Seyedreza Mirmohammadhosseini Ahari - Department of Electronics, HerzingCollege, Toronto, Canada
Vahid Shafaei Nahand - Master of Business AdministrationStudent, Mamaghan Branch, IslamicAzad University, Mamaghan, Iran
Nima Aberomand - Department of Computer Science,the University of Texas at Arlington,Texas, USA - Department ofComputer Engineering, Shahr-e-Qods, Branch, Islamic AzadUniversity, Tehran, Iran

خلاصه مقاله:
Distributed Generation (DG) has emerged as aprospective solution that has been integrated to improve theresilience of the distribution system in microgrades. In additionto providing clean energy, distributed generation paysconsiderable attention to its share in the system in the form of therealization of an active distribution system, the formulation ofislanding and the resilience and reconstruction of the distributionsystem in normal and severe weather conditions. Optimalmicrogrid control with simultaneous generation of electricity andheat is considered in most economic and pollution purposes. Thisstudy studies a ۲۲-bus microgrid consisting of photovoltaicsources and a fuel cell derived from a real system. The use ofcapacitors, reactors and parallel reactors, static reactive powercompensators, pulse transformers, voltage regulators and powergeneration sources have been used as control variables foreconomic purposes, reducing losses and improving voltageprofiles. Also considering battery placement in buses in optimalform is the main objective which optimized with GeneticAlgorithm such other objective functions.

کلمات کلیدی:
Distributed Generation (DG), Microgrid,Photovoltaic, Fuel Cell, Battery, Genetic Algorithm (GA)

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1876700/