09 فروردین 1403
علي احمديان

علی احمدیان

مرتبه علمی: دانشیار
نشانی: بناب- دانشگاه بناب
تحصیلات: دکترای تخصصی / مهندسی برق
تلفن: 04137745000
دانشکده: دانشکده فنی و مهندسی
گروه: گروه مهندسی برق

مشخصات پژوهش

عنوان
Optimal droop gains assignment for real-time energy management in an islanding microgrid: a two-layer techno-economic approach
نوع پژوهش مقاله چاپ شده
کلیدواژه‌ها
costing , distributed power generation , energy management systems , gradient methods , mean square error methods , particle swarm optimisation , power generation economics ,minimum mean square frequency error algorithm , gradient descent method , optimal droop , modified particle swarm optimisation algorithm , operation costs minimisation , emission costs , two-layer techno-economic energy management framework , two-layer techno-economic approach , islanding microgrid , real-time energy management , optimal droop gains assignment
پژوهشگران امیر خالدیان (نفر اول)، علی احمدیان (نفر دوم)، مسعود علی اکبر گلکار (نفر سوم)

چکیده

Real-time energy management is an important challenge in today's microgrids. In this study, a two-layer technoeconomic energy management framework is proposed for an islanding microgrid. The minimisation of operation and emission costs are considered in the first layer procedure. Dynamic performance of dispatchable distributed energy resources is taken into account to improve the load following performance. Optimal operation of the microgrid is considered as an optimisation problem which is solved using modified particle swarm optimisation algorithm. In the second layer, optimal droop gains of microresources are assigned based on the combination of gradient descent method and minimum mean square frequency error algorithm. The proposed methodology is applied to a typical microgrid and its performance is evaluated. The simulation results show that using the proposed methodology, the frequency deviation of microgrid is reduced properly so that the results are better than the results of conventional methodology. Moreover, the microgrid energy management and power sharing between micro-sources are more economical in comparison with conventional methods.