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صفحه اصلی
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بیست و نهمین کنفرانس مهندسی برق ایران
Analyzing Large-scale PV Plant Controllers by Technical Performance Indices using MCS Method
نویسندگان :
Hooman Nasrazadani
1
Alireza Sedighi
2
Hossein Seifi
3
1- دانشگاه یزد
2- دانشگاه یزد
3- دانشگاه تربیت مدرس
کلمات کلیدی :
Large-scale photovoltaic plant, Monte Carlo simulation, Nordic test system, Probabilistic load flow, Technical performance indices
چکیده :
The rapid increase in the installed capacity of Renewable Energy Sources (RESs), particularly Large-Scale Photovoltaic Plant (LS-PVP) will have a major positive or negative impact on the performance of the power system in the near future. Also, the deterministic load flow approach is not an appropriate manner for the analysis of modern systems penetrated by RESs. In this paper, a Probabilistic Load Flow (PLF) method based on the stochastic nature of LS-PVP and loads is applied to evaluate with accuracy the impact of the various control methods of LS-PVP on the system. For this purpose, the Technical Performance Indices (TPIs) are used more comprehensively investigate. The Monte Carlo simulation (MCS) is applied in this paper. Finally, the control methods of LS-PVP are validated through the Nordic test system using the MCS method. Results show that by using LS-PVPs with a proper controller, the negative effects of LS-PVPs on the system are decreased, the costs required to expand and reinforce the transmission network is reduced, the costs required to reactive power compensation devices and communication between controllers are decreased. Generally, the system integrated with LS-PVPs in the stressed area is not operated better than the synchronous generator, when a fault occurred.
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