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Overall Journal Statistics
Published articles: 235
Acceptance rate: 84.3
Rejection rate: 15.7
Average time to review: 98 days
Average time to publish: 26 days
..
:: Volume 2, Issue 3 (3-2014) ::
تحقیقات نوین در سیستمهای قدرت هوشمند 2014, 2(3): 23-29 Back to browse issues page
در مدار قرار گرفتن تصادفی نیروگاه ها با درنظرگرفتن منابع انرژی تجدیدپذیر و بارهای تعویق پذیر توسط الگوریتم ژنتیک
Abstract:   (1714 Views)

In this paper, a method for solving the economic dispatch and stochastic unit commitment using genetic algorithm provided  and in order to Review a two-stage decision algorithm is used where The first stage of the problem in the unit commitment and The second part of the economic distribution. In addition, the effect of renewable energy sources and Deferrable Demand is evaluated. Western system of the United States as the system under study is considered and The output of the method proposed, along With answers that are comparable with the results of dynamic programming

Keywords: Economic Dispatch, Stochastic Unit Commitment, Genetic Algorithms, Dynamic Programming
Full-Text [PDF 630 kb]   (1075 Downloads)    
Type of Study: Research | Subject: General
Received: 2017/02/19 | Accepted: 2017/02/19 | Published: 2017/02/19
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در مدار قرار گرفتن تصادفی نیروگاه ها با درنظرگرفتن منابع انرژی تجدیدپذیر و بارهای تعویق پذیر توسط الگوریتم ژنتیک. تحقیقات نوین در سیستمهای قدرت هوشمند 2014; 2 (3) :23-29
URL: http://jeps.dezful.iau.ir/article-1-62-en.html


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Volume 2, Issue 3 (3-2014) Back to browse issues page
تحقیقات نوین در برق Journal of Novel Researches on Electrical Power
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