Renewable Energy Investment under Power Market Conditions by Employing Novel Scenario Generation and Reduction
عنوان مقاله: Renewable Energy Investment under Power Market Conditions by Employing Novel Scenario Generation and Reduction
شناسه ملی مقاله: POWERPLANT03_094
منتشر شده در سومین کنفرانس ملی صنعت نیروگاههای حرارتی در سال 1390
شناسه ملی مقاله: POWERPLANT03_094
منتشر شده در سومین کنفرانس ملی صنعت نیروگاههای حرارتی در سال 1390
مشخصات نویسندگان مقاله:
Kiarash Shaloudegi
Nazli Madinehi
Hossein Hosseinian
Hossein Askarian Abyaneh
خلاصه مقاله:
Kiarash Shaloudegi
Nazli Madinehi
Hossein Hosseinian
Hossein Askarian Abyaneh
A new investment planning in distributed generation (DG) units from the perspective of distribution company is presented in this paper. Stochastic programming isemployed for modeling uncertainties associated with wind, solar and market price. The stochastic programming leads to huge numbers of scenarios which conventional scenario generation and reduction cannot handle the scenario reduction. Therefore, novel scenario generation and reduction is proposed andadaptive shuffled frog leaping algorithm is employed to solve the scenario reduction. The problem of investment planning isformulated as a mixed integer non-linear programming (MINLP) with the objective of maximizing DISCO’s benefit by optimal sizing and placement of DGs. Improved shuffled frog leaping algorithm is applied to solve the optimal sizing and placement problem. The proposed approach has been applied to a ٣٠ nodes distribution system. The results show that a significant increase in DISCO’s annual benefit is obtained
کلمات کلیدی: DISCO investment, stochastic programming, distribution generation, scenario generation and reduction
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/156296/