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صفحه اصلی
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سی و دومین کنفرانس بین المللی مهندسی برق
Multi-objective Optimization of Peer-to-Peer Transactions in Arizona State University’s Microgrid by NSGA II
نویسندگان :
Pourya Shirinshahrakfard
1
Amir Abolfazl Suratgar
2
Mohammad Bagher Menhaj
3
Gevork B. Gharehpetian
4
1- دانشگاه صنعتی امیرکبیر
2- دانشگاه صنعتی امیرکبیر
3- دانشگاه صنعتی امیرکبیر
4- دانشگاه صنعتی امیرکبیر
کلمات کلیدی :
Microgrid،Multi-objective،Optimization،Non-dominated Sorting Genetic Algorithm
چکیده :
This study presents a novel approach to modeling and solving the multi-objective optimization problem of peer-to-peer transactions among agents within microgrids. A key innovation lies in considering each trade, including internal trades, as a decision variable, unlike prior research that focused on optimizing whole internal trades and grid exchanges. Using Arizona State University's microgrid as a case study with varying exchange rates, the study concludes that the proposed Non-dominated Sorting Genetic Algorithm II with modified mutation outperforms existing studies by finding superior solutions in select scenarios, showcasing significant advancements in optimizing microgrid transactions.
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بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 43.6.0
