Applying fuzzy multi-objective linear programming to modelling retailer profit in Iran power market

Abstract Retail power market in Iran is underway, and as we know in a deregulated power market retailers are important entities. In this paper we proposes a retailers profit model in Iran power market. The distinctive characteristics of Iran’s economy, and those of Iran’s power market including cross subsidy, would make the retailer profit model special. Thus, the paper with a case study, tries to develop a retailer profit model that can reflect the main attributes of such a market entity. Because of the nature of input data, this model has imprecise objective coefficients and fuzzy Resources. The results of case study shows that the retailer can earn profit by selling power to its consumers and present tariffs with discounts.

کلیدواژه ها:

Fuzzy multi-objective linear programming ، Possibilistic programming ، Cross subsidy ، Iran power market ، Retailer profit modelling