| مشخصات مقاله | |
| ترجمه عنوان مقاله | یک چارچوب جدید برای تجزیه و تحلیل ظرفیت میزبانی با تجزیه و تحلیل حساسیت ولتاژ احتمالی فضایی-زمانی |
| عنوان انگلیسی مقاله | A novel framework for hosting capacity analysis with spatio-temporal probabilistic voltage sensitivity analysis |
| انتشار | مقاله سال 2022 |
| تعداد صفحات مقاله انگلیسی | 11 صفحه |
| هزینه | دانلود مقاله انگلیسی رایگان میباشد. |
| پایگاه داده | نشریه الزویر |
| نوع نگارش مقاله |
مقاله پژوهشی (Research Article) |
| مقاله بیس | این مقاله بیس نمیباشد |
| نمایه (index) | Scopus – Master Journals List – JCR |
| نوع مقاله | ISI |
| فرمت مقاله انگلیسی | |
| ایمپکت فاکتور(IF) |
4.630 در سال 2020 |
| شاخص H_index | 130 در سال 2020 |
| شاخص SJR | 1.050 در سال 2020 |
| شناسه ISSN | 0142-0615 |
| شاخص Quartile (چارک) | Q1 در سال 2020 |
| فرضیه | ندارد |
| مدل مفهومی | ندارد |
| پرسشنامه | ندارد |
| متغیر | ندارد |
| رفرنس | دارد |
| رشته های مرتبط | مهندسی برق |
| گرایش های مرتبط | سیستم های قدرت و مهندسی الکترونیک |
| نوع ارائه مقاله |
ژورنال |
| مجله | مجله بین المللی سیستم های برق و انرژی – International Journal of Electrical Power and Energy Systems |
| دانشگاه | Department of Electrical and Computer Engineering, Kansas State University, Manhattan, USA |
| کلمات کلیدی | فتوولتائیک (PV)، احتمالی، تجدید پذیر، تحلیلی، نقض ولتاژ، ظرفیت میزبانی |
| کلمات کلیدی انگلیسی | Photovoltaic (PV) – Probabilistic – Renewable – Analytical – Voltage Violations – Hosting capacity |
| شناسه دیجیتال – doi |
https://doi.org/10.1016/j.ijepes.2021.107426 |
| کد محصول | E15567 |
| وضعیت ترجمه مقاله | ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید. |
| دانلود رایگان مقاله | دانلود رایگان مقاله انگلیسی |
| سفارش ترجمه این مقاله | سفارش ترجمه این مقاله |
| فهرست مطالب مقاله: |
| Abstract Keywords Introduction HC with simulation-based approach ST-PVSA for random distribution of PVs Validation of ST-PVSA ST-PVSA for PV hosting capacity Conclusion Declaration of Competing Interest Acknowledgement Appendix A. References |
| بخشی از متن مقاله: |
| ABSTRACT Smart grids are envisioned to accommodate high penetration of distributed photovoltaic (PV) generation, which may cause adverse grid impacts in terms of voltage violations. Therefore, PV Hosting capacity is being used as a planning tool to determine the maximum PV installation capacity that causes the first voltage violation and above which would require infrastructure upgrades. Traditional methods of Hosting capacity analysis are scenario based and computationally complex as they rely on iterative load flow algorithms that require investigating a large number of scenarios for accurate assessment of PV impacts. Therefore, this paper presents a computationally efficient analytical approach to compute the probability distribution of voltage change due to random behavior of randomly located multiple distributed PVs. The proposed approach is based on Spatio-temporal probabilistic voltage sensitivity analysis that exploits both spatial and temporal uncertainties associated with PV injections. Thereafter, the derived distribution is used to quantify voltage violations for various PV penetration levels and subsequently determine the hosting capacity of the system without the need to examine largenumber of scenarios. Results of the proposed framework are validated via conventional load flow based simulation approach on the IEEE 37 and IEEE 123 node test systems. Introduction Power grid is undergoing significant changes to meet modern- energy demand in a more efficient manner. Integration of renewable energy sources, especially rooftop Photovoltaics (PVs) offers various solutions, including (1) low carbon footprint; (2) reduced operational cost; (3) ancillary services in terms of peak load shaving and voltage restoration at critical loads during contingencies. Therefore, many countries are aiming to meet a major portion of energy demand through renewable energy sources. For example, by 2050, USA, China, EU and India are projected to have 63%, 67%, 70% and 73% of their total energy use met through renewables, respectively. |