Optimal Management of Fuel Cell Power Plant by Using Genetic Algorithm
محل انتشار: بیست و هشتمین کنفرانس بین المللی برق
سال انتشار: 1392
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,069
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شناسه ملی سند علمی:
PSC28_282
تاریخ نمایه سازی: 25 اردیبهشت 1393
چکیده مقاله:
This paper presents an energy management strategy to supply residential load in hybrid fuel cell power plant (FCPP) using genetic algorithm. Economical fuel cell (FC) model includes thermal load, local electrical load, operational cost, start-up cost and different tariffs on electricity during the day hour is discussed. the proposed energy management strategy has been modelled as a multi-tasking optimization problem. Also, the extended Genetic algorithm (GA) is used to determine optimal operation of FCPP with respect to six-minute time steps in load pattern change
کلیدواژه ها:
Energy management ، Fuel Cell power plant ، Intelligence optimization ، Genetic algorithm ، Multi-tasking optimization
نویسندگان
Sajjad Kouhi
Electrical Engineering Department Azarbaijan Shahid Madani University Tabriz, Iran
Mehdi Khavaninzadeh
Tehran Regional Electrical Company (TREC) Tehran, Iran
Seyedamin Hashemi
Ecole Centrale de Nantes Grenoble, France
Seyed Meysam Ghasemi
Iranian Offshore Oil Company (IOOC) Tehran, Iran