Optimal Economic Dispatch of Combined Heat and Power(CHP) with genetic algorithm and particle swarm optimization algorithm

سال انتشار: 1396
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 676

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شناسه ملی سند علمی:

CMTS01_287

تاریخ نمایه سازی: 17 آبان 1396

چکیده مقاله:

Optimization is the art of obtaining optimum result under given circumstances. In design, construction and maintenance of any engineering system, engineers have to take many technological and managerial decisions at severalstages. The ultimate goal of all such decisions is to either maximize the desired benefit or to minimize the effort or the cost required. The combined heat and power economic dispatch (CHPED) is a complicated optimization problem whichdetermines the production of heat and power units to obtain the minimum production costs of the system, satisfying the heat and power demands and considering operational constraints. This paper presents Genetic algorithm (GA) andparticle swarm optimization algorithm (PSO) for solving CHPED optimization task. To evaluate the performance features, the proposed GA and PSO procedures are employed on two study cases. The effect of transmission losses are considered in cost function.

کلیدواژه ها:

CHP-CHP economic dispatch-Genetic algorithm-PSO algorithm

نویسندگان

Mohammad Bagherdoost

Department of Electrical and Computer Engineering, University of Torbat Heydarieh

Ali Maroosi

Department of Electrical and Computer Engineering, University of Torbat Heydarieh

Masood Ettehadi

Department of Electrical and Computer Engineering, University of Torbat Heydarieh