Optimal Management of Fuel Cell Power Plant by Using Genetic Algorithm

سال انتشار: 1392
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 950

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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

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