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:: Volume 7, Issue 13 (9-2018) ::
ieijqp 2018, 7(13): 102-113 Back to browse issues page
Multi-objective optimization of schedule to meet the demand for electricity using renewable sources and conventional sources
Navid Khalilpour Tilami , Javad Rezaeian , Iraj Mahdavi
Abstract:   (297 Views)
Due to the increment of power demand, diminishing resources of fossil fuels and reduction of carbon dioxide out, the use of renewable energy resources is one of the important strategies in the developed countries. In this study, we use to meet electricity demand from renewable resources by as photovoltaic, batteries and wind turbines at times of peak production. The maximum amount of energy that solar panels and wind turbines can provide during any hour of the day is a function the amount of solar radiation and wind speed per hour. The aim is to minimize the cost of utilizing resources and maximize reliability. A non-linear programming model is proposed for the considered problem. Since the objectives are in conflict, for achieving a single optimal solution is not possible, therefore, NSGAII algorithm proposed for solving the problem
Keywords: Scheduling, Renewable energy, Multi-objective optimization, Reliability, Non-dominated sorting, genetic algorithm (NSGAII)
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Type of Study: Research |
Received: 2018/04/8 | Accepted: 2018/07/4 | Published: 2018/08/25


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Khalilpour Tilami N, Rezaeian J, Mahdavi I. Multi-objective optimization of schedule to meet the demand for electricity using renewable sources and conventional sources. ieijqp. 2018; 7 (13) :102-113
URL: http://ieijqp.ir/article-1-515-en.html


Volume 7, Issue 13 (9-2018) Back to browse issues page
نشریه علمی- پژوهشی کیفیت و بهره وری صنعت برق ایران Iranian Electric Industry Journal of Quality and Productivity
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