بهره‌برداری بهینه از باتری در ریزشبکه مبتنی بر انرژی‌های تجدیدپذیر با در نظر گرفتن اثر تخریب باتری

نوع: Type: پایان نامه

مقطع: Segment: کارشناسی ارشد

عنوان: Title: بهره‌برداری بهینه از باتری در ریزشبکه مبتنی بر انرژی‌های تجدیدپذیر با در نظر گرفتن اثر تخریب باتری

ارائه دهنده: Provider: محمد حسن التميمى - مهندسی برق

اساتید راهنما: Supervisors: صالح رازینی

اساتید مشاور: Advisory Professors:

اساتید ممتحن یا داور: Examining professors or referees: ١-محمد حسن مرادى ٢-سيد منوجهر حسينى پيلانكَركَى

زمان و تاریخ ارائه: Time and date of presentation: ساعت 11:30 - 1405/7/19

مکان ارائه: Place of presentation: كلاس 33 مهندسى برق

چکیده: Abstract: Microgrids (MG) enable decentralized and sustainable integration of renewable energy sources (RES), such as wind and solar energy, into a single independent platform. However, one of the main challenges of MGs is their low reliability due to the presence of random generation sources such as PV and wind turbines. Battery Energy Storage Systems (BESS) are a practical solution to address this challenge, which, by playing the role of storage during excess generation and releasing energy during production decline, in addition to increasing grid reliability, also reduce generation costs and emissions. However, past research has often ignored the necessity of modeling BESS degradation. To solve this important challenge, various studies have sought to include the cost of BESS degradation in solving the Optimal Operation problem in the Microgrid Energy Management System (EMS). However, there are many challenges in including the cost of BESS degradation in optimizing MG operations due to the randomness of renewable energy supply and the high cost of controlled electricity generation. In addition, including this cost in the overall problem leads to a very non-convex optimization problem that is very difficult to solve. To fill the gaps in this research, an Optimal Operation scheme in the microgrid EMS is proposed considering the BESS degradation cost (calendar and cyclic aging). In the proposed scheme, the electricity generation and purchase cost, environmental treatment cost, and BESS wear and tear cost, and grid constraints are considered, and an objective function for the comprehensive operation cost of the microgrid is formulated. To solve this problem, the Improved Gray Wolf Optimization (IGWO) algorithm is used. IGWO, which is improved with a dynamic chaotic weighting mechanism, provides a powerful metaheuristic approach to navigate the complex search space. IGWO effectively navigates the generated highly nonlinear and non-convex search space, thereby preventing premature convergence and outperforming standard metaheuristic algorithms in finding the global economic optimum. The results show that the proposed method can effectively reduce Total Operating Cost (TOC), improve energy efficiency, and ensure reliable operation of renewable energy-based microgrids, in addition to prioritizing battery health.