|
|
International Journal of Automotive Engineering، جلد ۱۵، شماره ۲، صفحات ۴۶۶۷-۴۶۷۷
|
|
|
| عنوان فارسی |
|
|
| چکیده فارسی مقاله |
|
|
| کلیدواژه‌های فارسی مقاله |
|
|
| عنوان انگلیسی |
Reliability Assessment and Congestion Management of Power System with Electric Vehicles and Uncertain Renewable Resources |
|
| چکیده انگلیسی مقاله |
The high penetration of renewable energy sources (RES) makes the power system unreliable due to its uncertain nature. In this paper, the quantifying impact of electric vehicles (EV) charging and discharging on power system reliability and relieving the congestion is analyzed. The proposed reliability assessment is formulated by considering generation and demand interruption costs for N-1 contingency criteria. The proposed algorithm manages the optimal scheduling of EV to mitigate the uncertainties associated with RES and relieving the congestion. The impact of EV charging and discharging on expected energy not supplied (EENS) and expected interruption cost (ECOST) for generating companies (GENCOs), transmission companies (TRANSCOs), customers, and entire power system are calculated. The charging station of EV is selected by the trade-o_ between investment cost of EV and percentage change in EENS and ECOST value for the entire power system, GENCOs, TRANSCOs, and customers. The effectiveness of the proposed approach is tested on the modified IEEE RTS 24 bus system. The impact of EV charging stations on system reliability has been evaluated by quantifying the EENS and the ECOST across all available EV capacities. The results clearly demonstrate the improvement of system reliability and minimize the objective function consisting of generator re-dispatch and load curtailment considering N-1 contingency in the face of uncertainties of wind and solar generation sources by considering EV. The results show that EV can improve the reliability by about 40%. The problem is modeled in GAMS environment and solved using CONOPT as a nonlinear programming (NLP) solver.
|
|
| کلیدواژه‌های انگلیسی مقاله |
Electric Vehicles, Reliability, Congestion Management, Renewable Resources, Uncertainty |
|
| نویسندگان مقاله |
| alireza sobbouhi
Shahid Beheshti University
| Mohammad Mozaffari
Shahid Beheshti University
|
|
| نشانی اینترنتی |
http://ijae.iust.ac.ir/browse.php?a_code=A-10-843-1&slc_lang=en&sid=1 |
| فایل مقاله |
فایلی برای مقاله ذخیره نشده است |
| کد مقاله (doi) |
|
| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
سیستم های ذخیره ساز انرژی |
| نوع مقاله منتشر شده |
پژوهشی |
|
|
|
برگشت به:
صفحه اول پایگاه |
نسخه مرتبط |
نشریه مرتبط |
فهرست نشریات
|