کنفرانس بین المللی فناوری و مدیریت انرژی

صفحه اصلی / هشتمین کنفرانس بین المللی فناوری و مدیریت انرژی

Efficient Multi-Objective Optimization for Analyzing Lifetime Characteristics of Battery Energy Storage System in a Standalone Microgrid Considering Resource and Load Limitations

نویسندگان :

Peyman Zare¹ Iraj Faraji Davoudkhani² Reza Mohajery³ Rasoul Zare⁴ Hossein Ghadimi⁵ Mehdi Ebtehaj⁶

1- دانشگاه محقق اردبیلی 2- دانشگاه محقق اردبیلی 3- دانشگاه محقق اردبیلی 4- شرکت توزیع نیروی برق استان اردبیل 5- شرکت توزیع نیروی برق استان اردبیل 6- شرکت توزیع نیروی برق استان اردبیل

کلمات کلیدی :

Microgrid،Energy Storage،Prairie Dog Optimization Algorithm،Battery Life،Load Limit،Resource Limitations

چکیده :

Abstract—Renewable energy sources and batteries are the important components to supply power on the stand-alone microgrid. Optimization of the stand-alone microgrid is needed to get the lowest energy generation const. Renewable energy sources, for saving generation costs, are an important component of the power supply stand-alone microgrid. Besides considering renewable resources, The battery energy storage system is an important element when microgrids' optimal economical operation is carried out due to the low cost. Integrating renewable energy sources in microgrids presents a great challenge to ensure microgrids' stability and reliability due to their intermittent nature. Grid-level battery energy storage system has been recognized as one of the promising solutions to meet this challenge and participate in microgrid economic operation. The diesel generator is used to supply power when renewable energy sources and batteries can't supply power to load. To achieve reliable and economic operations of a microgrid, the lifetime characteristics of the energy storage system also need to be fully investigated. In this article, to realize the economic operation of an independent island microgrid, an optimization model considering the effect of power generation and consumption in microgrids on the cost of losses, battery life, operation cost, maintenance cost, fuel cost, And environmental costs have been taken into account. In the proposed model, energy waste in defective batteries and the effect of reactive power on losses and related costs are considered to obtain a set of optimal operating parameters. According to the characteristics of lead-acid battery life, a multi-objective optimization will be presented to minimize the cost of active-reactive power production, maximize the useful life of lead-acid batteries, and minimize the energy waste costs in defective batteries. A new meta-heuristic algorithm called Prairie Dog Optimization (PDO) is developed to optimize the multi-objective model. The results demonstrated that the suggested strategy might improve system performance in various situations and assist users in obtaining the ideal microgrid system operating plans.