Title :
Risk based multi-objective optimal fulfillment of Renewable Purchase Obligation
Author :
Veena, P. ; Abhyankar, A.R.
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol. Delhi, NewDelhi, India
Abstract :
It is known that renewable energy generation is associated with risk of uncertainty and market trading is associated with risk of price volatility. The mandatory Renewable Purchase Obligation (RPO) in India, exposes the Load Serving Entities (LSE) to these risks, in addition to the expenditure associated with it. This paper formulates the optimal fulfillment of RPO as a multi-objective problem. The optimal decision of meeting RPO is obtained by minimizing the two objectives - cost and risk. The two risks considered are the variability of wind power generation and volatility in the Renewable Energy Certificate (REC) price. These are modeled through fuzzy membership functions. Further, a best compromise solution is obtained through the fuzzy minmax approach.
Keywords :
fuzzy set theory; minimax techniques; minimisation; power engineering computing; power generation economics; power markets; pricing; renewable energy sources; risk analysis; uncertainty handling; wind power plants; India; LSE; REC; RPO; expenditure; fuzzy membership function; fuzzy minimax approach; load serving entity; market trading; minimization; price volatility; renewable energy certificate; renewable energy generation; renewable purchase obligation; risk based multiobjective optimal fulfillment; uncertainty risk; wind power generation; Electricity; Linear programming; Minimization; Optimization; Renewable energy resources; Uncertainty; Wind power generation; Fuzzy membership function; Load Serving Entity (LSE); Renewable Energy Certificate (REC); Renewable Purchase Obligation (RPO); fuzzy min-max approach; risk; uncertainty; variability;
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
DOI :
10.1109/PESGM.2012.6345441