Optimal Energy Management OF Microgrids via Robust Optimization - دانشکده فنی و مهندسی
Optimal Energy Management OF Microgrids via Robust Optimization
نوع: Type: thesis
مقطع: Segment: masters
عنوان: Title: Optimal Energy Management OF Microgrids via Robust Optimization
ارائه دهنده: Provider: Milad Mansouri
اساتید راهنما: Supervisors: Alireza Hatami Sharif (Ph.D) Mohammad Hasan Moradi (Ph. D)
اساتید مشاور: Advisory Professors:
اساتید ممتحن یا داور: Examining professors or referees:
زمان و تاریخ ارائه: Time and date of presentation: February, 07, 2021
مکان ارائه: Place of presentation:
چکیده: Abstract: Microgrids will be one of the main structures of power grids in the future. There are several elements in microgrids including renewable energy sources, energy storage sources (such as batteries), controllable and uncontrollable loads. They are random and uncertain elements. The issue of energy management in microgrids is very important and challenging for having the desired power quality and balance in supply and demand. One of the main issues in microgrids is their optimal operation. In fact It should be possible to provide short-term planning for a period of one day to one week and long-term planning (such as one month) for renewable energy sources and controllable loads to minimize operating costs. Since there are several parameters on interest The use of microgrids is effective and some of these parameters are approximate and uncertain. It is necessary to model their uncertainties. Due to errors in predicting information and uncertainties in renewable sources and load demands, the solution obtained for patterns Production and load deviate from the ideal optimal value This issue leads to the use of an energy management system in microgrids, which is used to obtain the most optimal solution possible. A variety of energy management systems have been developed, each based on the limitations and objective function of the microgrid to seek the optimal In this dissertation, robust optimization is used to optimize the operating cost. Key Words: Key Words: Microgrid, Energy Management, Robust Optimization
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