Optimal Contract Pricing for Private DG-Owners via Bilevel Programming
محل انتشار: بیست و هشتمین کنفرانس بین المللی برق
سال انتشار: 1392
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,279
این مقاله فقط به صورت چکیده توسط دبیرخانه ارسال شده است و فایل کامل قابل دریافت نیست. برای یافتن مقالات دارای فایل کامل، از بخش [جستجوی مقالات فارسی] اقدام فرمایید.
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
PSC28_320
تاریخ نمایه سازی: 25 اردیبهشت 1393
چکیده مقاله Optimal Contract Pricing for Private DG-Owners via Bilevel Programming
In Restructured power systems, the investment of small-scale distributed generation owners (DGOs) who are mostly from private sectors could have significant benefits for the individual distribution network operators (DNOs). However, the DGOs have different aims which might be contrary to theobjectives of DNO. A bilevel programming approach for the optimal contract pricing of non-dispatchable distributed generation units (DGs) is presented. This paper proposes an iterative algorithm to solve this bilevel problem in order to encourage private DGOs for DG installation in parallel with the technical and economical goals of DNO. It also takes into account some scenarios to address the uncertainty of demand as well as electricity prices. Demands through the distribution network for the target year are characterized by stepwise constant load duration curves (LDCs). To meet the demand, the DNO has the option to purchase energy from any DG unit within its network and directly from the wholesale electricity market. Application example is presented to demonstrate the effectiveness of the proposed methodology
کلیدواژه های Optimal Contract Pricing for Private DG-Owners via Bilevel Programming:
نویسندگان مقاله Optimal Contract Pricing for Private DG-Owners via Bilevel Programming
Morteza Shabanzadeh
Economics & Power Management Department Niroo Research Institute (NRI) Tehran, Iran
Farhad Fallahi
Economics & Power Management Department Niroo Research Institute (NRI) Tehran, Iran
Somayeh Rahimi
Economics & Power Management Department Niroo Research Institute (NRI) Tehran, Iran