Akrami, H., Shojaeian, S., Lotfi, M. (2013). Presenting a New Algorithm for Determining Optimal Replaceable Capacity of Conventional Power Plants by Renewable Power Plants Based on Monte Carlo Method. Journal of Simulation and Analysis of Novel Technologies in Mechanical Engineering, 6(3), 47-54.
H. Akrami; Sh. Shojaeian; M. Lotfi. "Presenting a New Algorithm for Determining Optimal Replaceable Capacity of Conventional Power Plants by Renewable Power Plants Based on Monte Carlo Method". Journal of Simulation and Analysis of Novel Technologies in Mechanical Engineering, 6, 3, 2013, 47-54.
Akrami, H., Shojaeian, S., Lotfi, M. (2013). 'Presenting a New Algorithm for Determining Optimal Replaceable Capacity of Conventional Power Plants by Renewable Power Plants Based on Monte Carlo Method', Journal of Simulation and Analysis of Novel Technologies in Mechanical Engineering, 6(3), pp. 47-54.
Akrami, H., Shojaeian, S., Lotfi, M. Presenting a New Algorithm for Determining Optimal Replaceable Capacity of Conventional Power Plants by Renewable Power Plants Based on Monte Carlo Method. Journal of Simulation and Analysis of Novel Technologies in Mechanical Engineering, 2013; 6(3): 47-54.
Presenting a New Algorithm for Determining Optimal Replaceable Capacity of Conventional Power Plants by Renewable Power Plants Based on Monte Carlo Method
1MSc Student, Department of Engineering, Khomeinishahr Branch, Islamic Azad University, Isfahan, Iran
2Assistant Professor, Department of Engineering, Khomeinishahr Branch, Islamic Azad University, Isfahan, Iran
3Lecturer, Department of Engineering, Khomeinishahr Branch, Islamic Azad University, Isfahan, Iran
Abstract
Given the substitution process of generators using renewable energy sources instead of conventional generators in modern power systems, this paper proposes a Monte Carlo based method to determine an optimal level of this change. At first, LOLE index of the system was calculated without wind power to obtain the reference index. Then, the wind turbine units are replaced with the conventional generators. This purpose has been achieved in stages with the gradually reduced portion of conventional generators and increased portion of the of wind turbine generators in order to pave the way for the calculation of the required amount of wind power using Monte Carlo simulation method. The LOLE index at each step was compared with the base LOLE index. In the end, the 5% annual load increment rate in the development strategy with the focus on sole wind power generation was investigated and the power needed for each load increment was calculated. The proposed method was implemented on IEEE-RTS system
ارائه الگوریتم جدیدی برای تعیین سهم قابل تبدیل نیروگاههای سنتی به نیروگاههای انرژی تجدید پذیر به روش مونت کارلو
Authors [Persian]
هادی اکرمی1; شاهرخ شجاعیان2; مهری لطفی3
1دانش آموختة کارشناسی ارشد، دانشکده فنی مهندسی ، دانشگاه آزاد اسلامی واحد خمینی شهر، اصفهان، ایران
2استادیار، دانشکده فنی مهندسی ، دانشگاه آزاد اسلامی واحد خمینی شهر، اصفهان، ایران
3مربی، دانشکده فنی مهندسی ، دانشگاه آزاد اسلامی واحد خمینی شهر، اصفهان، ایران
Abstract [Persian]
با توجه به روند جایگزینی نیروگاه های سنتی با نیروگاه های تجدید پذیر در شبکه های قدرت مدرن، در این مقاله آلگوریتمی ابتکاری مبتنی بر قابلیت اطمینان برای این منظور پیشنهاد شده است. در ابتدا شاخص LOLE سیستم بدون ظرفیت توان بادی محاسبه و به عنوان شاخص مرجع انتخاب گردید. سپس به بررسی جایگزینی واحد های توربین بادی به جای نیروگاه های سنتی پرداخته شده و در هر مرحله، از تولید ظرفیت سنتی کاسته، و ظرفیت تولید توان بادی جایگزین آن گردیده است. میزان ظرفیت تولید توان بادی مورد نیاز برای جایگزینی مناسب، با اتکا به روش مونت کارلو و از مقایسه شاخص LOLE در هر مرحله با شاخص LOLE مرجع، بدست آمده است. در آخر، روند رشد بار 5% در استراتژی توسعه با تمرکز صرف روی تولید بادی بررسی شده و میزان تولید مورد نیاز به ازاء هر رشد بار معین تعیین گردیده است. روش پیشنهادی بر روی شبکه IEEE-RTS پیاده سازی شده است
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